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ORCIDACM Transactions on Knowledge Discovery from Data, Volume 18
Volume 18, Number 1, January 2024
- Youru Li
, Zhenfeng Zhu, Xiaobo Guo, Shaoshuai Li, Yuchen Yang, Yao Zhao:
HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk Prediction. 1:1-1:21 - Daichi Amagata, Takahiro Hara:
Efficient Density-peaks Clustering Algorithms on Static and Dynamic Data in Euclidean Space. 2:1-2:27 - Jiewen Deng, Jinliang Deng, Du Yin, Renhe Jiang, Xuan Song:
TTS-Norm: Forecasting Tensor Time Series via Multi-Way Normalization. 3:1-3:25 - Alejandro Moreo, Manuel Francisco, Fabrizio Sebastiani:
Multi-Label Quantification. 4:1-4:36 - Chunkai Zhang, Yuting Yang, Zilin Du, Wensheng Gan, Philip S. Yu:
HUSP-SP: Faster Utility Mining on Sequence Data. 5:1-5:21 - Zhaoliang Chen, Lele Fu, Shunxin Xiao, Shiping Wang, Claudia Plant, Wenzhong Guo:
Multi-View Graph Convolutional Networks with Differentiable Node Selection. 6:1-6:21 - Fangyuan Luo, Jun Wu, Tao Wang:
Discrete Listwise Content-aware Recommendation. 7:1-7:20 - Huiyuan Li, Li Yu, Xi Niu, Youfang Leng, Qihan Du:
Sequential and Graphical Cross-Domain Recommendations with a Multi-View Hierarchical Transfer Gate. 8:1-8:28 - Weiming Mai, Jiangchao Yao, Chen Gong, Ya Zhang, Yiu-Ming Cheung, Bo Han:
Server-Client Collaborative Distillation for Federated Reinforcement Learning. 9:1-9:22 - Yao Wu, Jian Cao, Guandong Xu:
Fairness in Recommender Systems: Evaluation Approaches and Assurance Strategies. 10:1-10:37 - Huan Wang, Guoquan Liu, Po Hu:
TDAN: Transferable Domain Adversarial Network for Link Prediction in Heterogeneous Social Networks. 11:1-11:22 - Silvia Corbara, Alejandro Moreo, Fabrizio Sebastiani:
Same or Different? Diff-Vectors for Authorship Analysis. 12:1-12:36 - Jincheng Huang, Ping Li, Rui Huang, Na Chen, Acong Zhang:
Revisiting the Role of Heterophily in Graph Representation Learning: An Edge Classification Perspective. 13:1-13:17 - Xiao Luo, Daqing Wu, Yiyang Gu, Chong Chen, Luchen Liu, Jinwen Ma, Ming Zhang, Minghua Deng, Jianqiang Huang, Xian-Sheng Hua:
Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation. 14:1-14:26 - Huiting Liu, Yu Zhang, Peipei Li, Cheng Qian, Peng Zhao, Xindong Wu:
DeepCPR: Deep Path Reasoning Using Sequence of User-Preferred Attributes for Conversational Recommendation. 15:1-15:22 - Qiuyue Zhang, Yunfeng Zhang, Xunxiang Yao, Shilong Li, Caiming Zhang, Peide Liu:
A Dynamic Attributes-driven Graph Attention Network Modeling on Behavioral Finance for Stock Prediction. 16:1-16:29 - Anjan Chowdhury, Sriram Srinivasan, Animesh Mukherjee, Sanjukta Bhowmick, Kuntal Ghosh:
Improving Node Classification Accuracy of GNN through Input and Output Intervention. 17:1-17:31 - Ke-Jia Chen, Linsong Liu, Linpu Jiang, Jingqiang Chen:
Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast. 18:1-18:20 - Yan Sun, Yi Han, Jicong Fan:
Laplacian-based Cluster-Contractive t-SNE for High-Dimensional Data Visualization. 19:1-19:22 - Yong-Feng Ge, Elisa Bertino, Hua Wang, Jinli Cao, Yanchun Zhang:
Distributed Cooperative Coevolution of Data Publishing Privacy and Transparency. 20:1-20:23 - Sofia Strukova, José A. Ruipérez-Valiente, Félix Gómez Mármol:
Adapting Knowledge Inference Algorithms to Measure Geometry Competencies through a Puzzle Game. 21:1-21:23 - Bo Liu, Liangjiao Li, Yanshan Xiao, Kai Wang, Jian Hu, Junrui Liu, Qihang Chen, Ruiguang Huang:
An Efficient Transfer Learning Method with Auxiliary Information. 22:1-22:23 - Zhong Li, Yuxuan Zhu, Matthijs van Leeuwen:
A Survey on Explainable Anomaly Detection. 23:1-23:54 - Meng Jiang:
Transfer Learning across Graph Convolutional Networks: Methods, Theory, and Applications. 24:1-24:23 - Lizhen Wang, Vanha Tran, Thanhcong Do:
A Clique-Querying Mining Framework for Discovering High Utility Co-Location Patterns without Generating Candidates. 25:1-25:42 - Zhe Fu, Xi Niu:
Modeling Users' Curiosity in Recommender Systems. 26:1-26:23 - Hui-Jia Li, Yuhao Feng, Chengyi Xia, Jie Cao:
Overlapping Graph Clustering in Attributed Networks via Generalized Cluster Potential Game. 27:1-27:26 - Yu Liu, Zhilun Zhou, Yong Li, Depeng Jin:
Urban Knowledge Graph Aided Mobile User Profiling. 28:1-28:30 - Kaibiao Lin, Jinpo Chen, Ruicong Chen, Fan Yang, Zhang Yang, Lin Min, Ping Lu:
Adaptive Neighbor Graph Aggregated Graph Attention Network for Heterogeneous Graph Embedding. 29:1-29:21 - Yashen Wang, Xiaoye Ouyang, Dayu Guo, Xiaoling Zhu:
MEGA: Meta-Graph Augmented Pre-Training Model for Knowledge Graph Completion. 30:1-30:24 - Xiang Wang, Liping Jing, Huafeng Liu, Jian Yu:
Structure-Driven Representation Learning for Deep Clustering. 31:1-31:25 - Md. Tanvir Alam, Chowdhury Farhan Ahmed, Md. Samiullah, Carson Kai-Sang Leung:
Discovering Interesting Patterns from Hypergraphs. 32:1-32:34
Volume 18, Number 2, February 2024
- Fangfang Li, Zhi Liu, Junwen Duan, Xingliang Mao, Heyuan Shi, Shichao Zhang:
Exploiting Conversation-Branch-Tweet HyperGraph Structure to Detect Misinformation on Social Media. 33:1-33:20 - Xiao Luo, Wei Ju, Yiyang Gu, Zhengyang Mao, Luchen Liu, Yuhui Yuan, Ming Zhang:
Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning. 34:1-34:23 - Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld:
Attacking Shortest Paths by Cutting Edges. 35:1-35:42 - Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni, Dino Pedreschi, Fosca Giannotti:
Understanding Any Time Series Classifier with a Subsequence-based Explainer. 36:1-36:34 - Kui Yu, Zhaolong Ling, Lin Liu, Peipei Li, Hao Wang, Jiuyong Li:
Feature Selection for Efficient Local-to-global Bayesian Network Structure Learning. 37:1-37:27 - Linjie Nie, Shuo Yang, Xinran Zheng, Xingjun Wang:
An Efficient and Adaptive Content Delivery System Based on Hybrid Network. 904-915 - Xiaoqing Ye, Yang Sun, Dun Liu, Tianrui Li:
A Multisource Data Fusion-based Heterogeneous Graph Attention Network for Competitor Prediction. 39:1-39:20 - Taolin Zhang, Chengyuan Mai, Yaomin Chang, Chuan Chen, Lin Shu, Zibin Zheng:
FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs. 40:1-40:27 - Xiangkui Lu, Jun Wu, Junheng Huang, Fangyuan Luo, Jianbo Yuan:
Co-Training-Teaching: A Robust Semi-Supervised Framework for Review-Aware Rating Regression. 41:1-41:16 - Ahmad Zareie, Rizos Sakellariou:
Maximizing the Diversity of Exposure in Online Social Networks by Identifying Users with Increased Susceptibility to Persuasion. 42:1-42:21 - Hui Xu, Liyao Xiang, Junjie Ou, Yuting Weng, Xinbing Wang, Chenghu Zhou:
Open-World Graph Active Learning for Node Classification. 43:1-43:20 - Ying Chen, Siwei Qiang, Mingming Ha, Xiaolei Liu, Shaoshuai Li, Jiabi Tong, Lingfeng Yuan, Xiaobo Guo, Zhenfeng Zhu:
Semi-Supervised Heterogeneous Graph Learning with Multi-Level Data Augmentation. 44:1-44:27 - Huan Wang, Ruigang Liu, Chuanqi Shi, Junyang Chen, Lei Fang, Shun Liu, Zhiguo Gong:
Resisting the Edge-Type Disturbance for Link Prediction in Heterogeneous Networks. 45:1-45:24 - Xiaoting Li, Lingwei Chen, Dinghao Wu:
Adversary for Social Good: Leveraging Adversarial Attacks to Protect Personal Attribute Privacy. 46:1-46:24 - Bo Yan, Cheng Yang, Chuan Shi, Yong Fang, Qi Li, Yanfang Ye, Junping Du:
Graph Mining for Cybersecurity: A Survey. 47:1-47:52
Volume 18, Number 3, April 2024
- Qiang Huang, Jing Ma, Jundong Li, Ruocheng Guo, Huiyan Sun, Yi Chang:
Modeling Interference for Individual Treatment Effect Estimation from Networked Observational Data. 48:1-48:21 - Vladimiro González-Zelaya, Julián Salas, David Megías, Paolo Missier:
Fair and Private Data Preprocessing through Microaggregation. 49:1-49:24 - Ling Cheng, Feida Zhu, Yong Wang, Ruicheng Liang, Huiwen Liu:
From Asset Flow to Status, Action, and Intention Discovery: Early Malice Detection in Cryptocurrency. 50:1-50:27 - Yimin Huang, Wanwan Wang, Xingying Zhao, Yukun Wang, Xinyu Feng, Hao He, Ming Yao:
EFMVFL: An Efficient and Flexible Multi-party Vertical Federated Learning without a Third Party. 51:1-51:20 - Leonardo Pellegrina, Fabio Vandin:
SILVAN: Estimating Betweenness Centralities with Progressive Sampling and Non-uniform Rademacher Bounds. 52:1-52:55 - Tong Xia, Yong Li, Yunhan Qi, Jie Feng, Fengli Xu, Funing Sun, Diansheng Guo, Depeng Jin:
History-enhanced and Uncertainty-aware Trajectory Recovery via Attentive Neural Network. 53:1-53:22 - Xiang Ao, Ling Luo, Xiting Wang, Zhao Yang, Jiun-Hung Chen, Ying Qiao, Qing He, Xing Xie:
Put Your Voice on Stage: Personalized Headline Generation for News Articles. 54:1-54:20 - Ling Chen, Jiahui Xu, Binqing Wu, Jianlong Huang:
Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting. 55:1-55:20 - Yunji Liang, Lei Liu, Luwen Huangfu, Sagar Samtani, Zhiwen Yu, Daniel Dajun Zeng:
Learning Entangled Interactions of Complex Causality via Self-Paced Contrastive Learning. 56:1-56:24 - Chi-Wei Hsu, Chiao-Ting Chen, Szu-Hao Huang:
Adaptive Adversarial Contrastive Learning for Cross-Domain Recommendation. 57:1-57:34 - Weitong Ou, Bo Chen, Xinyi Dai, Weinan Zhang, Weiwen Liu, Ruiming Tang, Yong Yu:
A Survey on Bid Optimization in Real-Time Bidding Display Advertising. 58:1-58:31 - Li Ni, Hefei Xu, Yiwen Zhang, Wenjian Luo, Yingying Huang, Victor S. Sheng:
Local Overlapping Spatial-aware Community Detection. 59:1-59:21 - Ruichu Cai, Fengzhu Wu, Zijian Li, Pengfei Wei, Lingling Yi, Kun Zhang:
Graph Domain Adaptation: A Generative View. 60:1-60:24 - Cong Su, Guoxian Yu, Yongqing Zheng, Jun Wang, Zhengtian Wu, Xiangliang Zhang, Carlotta Domeniconi:
Causality-Based Fair Multiple Decision by Response Functions. 61:1-61:23 - Di Han, Yifan Huang, Junmin Liu, Kai Liao, Kunling Lin:
LSAB: User Behavioral Pattern Modeling in Sequential Recommendation by Learning Self-Attention Bias. 62:1-62:20 - Shenyang Huang, Samy Coulombe, Yasmeen Hitti, Reihaneh Rabbany, Guillaume Rabusseau:
Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs. 63:1-63:32 - Swapnil Saha, Hafiz Imtiaz:
Privacy-Preserving Non-Negative Matrix Factorization with Outliers. 64:1-64:26 - Ming-Chuan Yang, Guo-Wei Wong, Meng Chang Chen:
Sparse Grid Imputation Using Unpaired Imprecise Auxiliary Data: Theory and Application to PM2.5 Estimation. 65:1-65:26 - Han Zhao, Xu Yang, Cheng Deng:
Parameter-Agnostic Deep Graph Clustering. 66:1-66:20 - Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li:
Learning Hierarchical Task Structures for Few-shot Graph Classification. 67:1-67:20 - Huan Rong, Xin Yu, Tinghuai Ma, Victor S. Sheng, Yang Zhou, Mznah Al-Rodhaan:
Three-stage Transferable and Generative Crowdsourced Comment Integration Framework Based on Zero- and Few-shot Learning with Domain Distribution Alignment. 68:1-68:43 - Luciano Di Palma, Yanlei Diao, Anna Liu:
Efficient Version Space Algorithms for Human-in-the-loop Model Development. 69:1-69:49 - Sindhu Tipirneni, Ming Zhu, Chandan K. Reddy:
StructCoder: Structure-Aware Transformer for Code Generation. 70:1-70:20 - Wei Fan, Yanjie Fu, Shun Zheng, Jiang Bian, Yuanchun Zhou, Hui Xiong:
DEWP: Deep Expansion Learning for Wind Power Forecasting. 71:1-71:21 - Zhe Liu, Sukumar Letchmunan:
Enhanced Fuzzy Clustering for Incomplete Instance with Evidence Combination. 72:1-72:20
Volume 18, Number 4, May 2024
- Meng Jian, Yulong Bai, Jingjing Guo, Lifang Wu:
Swarm Self-supervised Hypergraph Embedding for Recommendation. 73:1-73:19 - Wentao Wang, Huifang Ma, Yan Zhao, Zhixin Li:
Pre-training Question Embeddings for Improving Knowledge Tracing with Self-supervised Bi-graph Co-contrastive Learning. 74:1-74:20 - Minghao Piao, Yi Sheng, Jinda Yan, Cheng Hao Jin:
Image Hash Layer Triggered CNN Framework for Wafer Map Failure Pattern Retrieval and Classification. 75:1-75:26 - Meng Xiao, Dongjie Wang, Min Wu, Kunpeng Liu, Hui Xiong, Yuanchun Zhou, Yanjie Fu:
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective. 76:1-76:22 - Ximing Li, Bing Wang, Yang Wang, Meng Wang:
Graph-based Text Classification by Contrastive Learning with Text-level Graph Augmentation. 77:1-77:21 - Tengfei Liu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Cross-modal Multiple Granularity Interactive Fusion Network for Long Document Classification. 78:1-78:24 - Mustafa Bozdag, Nurullah Sevim, Aykut Koç:
Measuring and Mitigating Gender Bias in Legal Contextualized Language Models. 79:1-79:26 - Chunkai Zhang, Maohua Lyu, Wensheng Gan, Philip S. Yu:
Totally-ordered Sequential Rules for Utility Maximization. 80:1-80:23 - Yi Yang, Zhong-Qiu Zhao, Gongqing Wu, Xingrui Zhuo, Qing Liu, Quan Bai, Weihua Li:
A Lightweight, Effective, and Efficient Model for Label Aggregation in Crowdsourcing. 81:1-81:27 - Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong:
ArieL: Adversarial Graph Contrastive Learning. 82:1-82:22 - Kaize Ding, Jianling Wang, Jundong Li, James Caverlee, Huan Liu:
Robust Graph Meta-Learning for Weakly Supervised Few-Shot Node Classification. 83:1-83:18 - Weiyao Zhu, Ou Wu, Fengguang Su, Yingjun Deng:
Exploring the Learning Difficulty of Data: Theory and Measure. 84:1-84:37 - Wei Chen, Chao Huang, Yanwei Yu, Yongguo Jiang, Junyu Dong:
Trajectory-User Linking via Hierarchical Spatio-Temporal Attention Networks. 85:1-85:22 - Gang Liu, Eric Inae, Tengfei Luo, Meng Jiang:
Rationalizing Graph Neural Networks with Data Augmentation. 86:1-86:23 - Chao Long, Huanhuan Yuan, Junhua Fang, Xuefeng Xian, Guanfeng Liu, Victor S. Sheng, Pengpeng Zhao:
Learning Global and Multi-granularity Local Representation with MLP for Sequential Recommendation. 87:1-87:15 - Hui Xu, Liyao Xiang, Xiaoying Gan, Luoyi Fu, Xinbing Wang, Chenghu Zhou:
Distributional Learning for Network Alignment with Global Constraints. 88:1-88:16 - Guixian Zhang, Shichao Zhang, Guan Yuan:
Bayesian Graph Local Extrema Convolution with Long-tail Strategy for Misinformation Detection. 89:1-89:21 - Senlin Shu, Deng-Bao Wang, Suqin Yuan, Hongxin Wei, Jiuchuan Jiang, Lei Feng, Min-Ling Zhang:
Multiple-instance Learning from Triplet Comparison Bags. 90:1-90:18 - Yilin Wang, Sha Zhao, Shiwei Zhao, Runze Wu, Yuhong Xu, Jianrong Tao, Tangjie Lv, Shijian Li, Zhipeng Hu, Gang Pan:
PU-Detector: A PU Learning-based Framework for Real Money Trading Detection in MMORPG. 91:1-91:26 - Yuhong Zhang, Jianqing Wu, Kui Yu, Xindong Wu:
Diverse Structure-Aware Relation Representation in Cross-Lingual Entity Alignment. 92:1-92:23 - Dakshi Kapugama Geeganage, Yue Xu, Yuefeng Li:
A Semantics-enhanced Topic Modelling Technique: Semantic-LDA. 93:1-93:27 - Yuyang Ren, Haonan Zhang, Luoyi Fu, Shiyu Liang, Lei Zhou, Xinbing Wang, Xinde Cao, Fei Long, Chenghu Zhou:
Hi-PART: Going Beyond Graph Pooling with Hierarchical Partition Tree for Graph-Level Representation Learning. 94:1-94:20 - Oana Balalau, Francesco Bonchi, T.-H. Hubert Chan, Francesco Gullo, Mauro Sozio, Hao Xie:
Finding Subgraphs with Maximum Total Density and Limited Overlap in Weighted Hypergraphs. 95:1-95:21 - Jinpeng Li, Hang Yu, Zhenyu Zhang, Xiangfeng Luo, Shaorong Xie:
Concept Drift Adaptation by Exploiting Drift Type. 96:1-96:22 - Feng Xiao, Youfa Liu, Jia Shao:
NNC-GCN: Neighbours-to-Neighbours Contrastive Graph Convolutional Network for Semi-Supervised Classification. 97:1-97:18 - Jinrong Lai, Tong Wang, Chuan Chen, Zibin Zheng:
Information-aware Multi-view Outlier Detection. 98:1-98:16 - Jingke Tu, Jiaming Huang, Lei Yang, Wanyu Lin:
Personalized Federated Learning with Layer-Wise Feature Transformation via Meta-Learning. 99:1-99:21 - Mehak Khan, Gustavo B. M. Mello, Laurence Habib, Paal Engelstad, Anis Yazidi:
HITS-based Propagation Paradigm for Graph Neural Networks. 100:1-100:23 - Pouya Ghahramanian, Sepehr Bakhshi, Hamed R. Bonab, Fazli Can:
A Novel Neural Ensemble Architecture for On-the-fly Classification of Evolving Text Streams. 101:1-101:24 - Ying Zhang, Zhiqiang Zhao, Zhuo Feng:
diGRASS: Directed Graph Spectral Sparsification via Spectrum-Preserving Symmetrization. 102:1-102:25 - Xinjiao Li, Guowei Wu, Lin Yao, Zhaolong Zheng, Shisong Geng:
Utility-aware Privacy Perturbation for Training Data. 103:1-103:21 - Wanxu Wei, Yitong Song, Bin Yao:
Enhancing Heterogeneous Knowledge Graph Completion with a Novel GAT-based Approach. 104:1-104:20
Volume 18, Number 5, June 2024
- Yicheng Pan, Yifan Zhang, Xinrui Jiang, Meng Ma, Ping Wang:
EffCause: Discover Dynamic Causal Relationships Efficiently from Time-Series. 105:1-105:21 - Kai-Lang Yao, Wu-Jun Li:
Asymmetric Learning for Graph Neural Network based Link Prediction. 106:1-106:18 - Xiaobo Guo, Mingming Ha, Xuewen Tao, Shaoshuai Li, Youru Li, Zhenfeng Zhu, Zhiyong Shen, Li Ma:
Multi-Task Learning with Sequential Dependence Toward Industrial Applications: A Systematic Formulation. 107:1-107:29 - Lei Zhang, Yong Liu, Zhiwei Zeng, Yiming Cao, Xingyu Wu, Yonghui Xu, Zhiqi Shen, Lizhen Cui:
Package Arrival Time Prediction via Knowledge Distillation Graph Neural Network. 108:1-108:19 - Chuan-Wei Kuo, Bo-Yu Chen, Wen-Chih Peng, Chih-Chieh Hung, Hsin-Ning Su:
Correlation-aware Graph Data Augmentation with Implicit and Explicit Neighbors. 109:1-109:23 - Mingxing Duan, Kenli Li, Weinan Zhang, Jiarui Qin, Bin Xiao:
Attacking Click-through Rate Predictors via Generating Realistic Fake Samples. 110:1-110:24 - Samira Khodabandehlou, Alireza Hashemi Golpayegani:
FiFrauD: Unsupervised Financial Fraud Detection in Dynamic Graph Streams. 111:1-111:29 - Jianshan Sun, Suyuan Mei, Kun Yuan, Yuanchun Jiang, Jie Cao:
Prerequisite-Enhanced Category-Aware Graph Neural Networks for Course Recommendation. 112:1-112:21 - Songgaojun Deng, Olivier Sprangers, Ming Li, Sebastian Schelter, Maarten de Rijke:
Domain Generalization in Time Series Forecasting. 113:1-113:24 - Gengsen Huang, Wensheng Gan, Philip S. Yu:
TaSPM: Targeted Sequential Pattern Mining. 114:1-114:18 - Yichen Zhu, Bo Jiang, Haiming Jin, Mengtian Zhang, Feng Gao, Jianqiang Huang, Tao Lin, Xinbing Wang:
Networked Time-series Prediction with Incomplete Data via Generative Adversarial Network. 115:1-115:25 - Huan Rong, Minfeng Qian, Tinghuai Ma, Di Jin, Victor S. Sheng:
CoBjeason: Reasoning Covered Object in Image by Multi-Agent Collaboration Based on Informed Knowledge Graph. 116:1-116:56 - Pradumn Kumar Pandey, Aikta Arya, Akrati Saxena:
X-distribution: Retraceable Power-law Exponent of Complex Networks. 117:1-117:12 - Sajedeh Moradnia, Mousa Golalizadeh:
Supervised Clustering of Persian Handwritten Images Using Regularization and Dimension Reduction Methods. 118:1-118:19 - Hongjie Chen, Hoda Eldardiry:
Graph Time-series Modeling in Deep Learning: A Survey. 119:1-119:35 - Yannis Poulakis, Christos Doulkeridis, Dimosthenis Kyriazis:
A Survey on AutoML Methods and Systems for Clustering. 120:1-120:30 - Ansel Y. Rodríguez-González, Ramón Aranda, Miguel Ángel Álvarez-Carmona, Ángel Díaz-Pacheco, Rosa María Valdovinos Rosas:
X-FSPMiner: A Novel Algorithm for Frequent Similar Pattern Mining. 121:1-121:26 - Tianxiang Luan, Shilin Gu, Xijia Tang, Wenzhang Zhuge, Chenping Hou:
Multi-Instance Learning with One Side Label Noise. 122:1-122:24 - Wei Qin, Xiaowei Wang, Zhenzhen Hu, Lei Wang, Yunshi Lan, Richang Hong:
Math Word Problem Generation via Disentangled Memory Retrieval. 123:1-123:21 - Haobo Wang, Cheng Peng, Hede Dong, Lei Feng, Weiwei Liu, Tianlei Hu, Ke Chen, Gang Chen:
On the Value of Head Labels in Multi-Label Text Classification. 124:1-124:21 - Wentao Hu, Hui Fang:
Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach. 125:1-125:21 - Li Ni, Rui Ye, Wenjian Luo, Yiwen Zhang:
Local Community Detection in Multiple Private Networks. 126:1-126:21 - Yongduo Sui, Wenyu Mao, Shuyao Wang, Xiang Wang, Jiancan Wu, Xiangnan He, Tat-Seng Chua:
Enhancing Out-of-distribution Generalization on Graphs via Causal Attention Learning. 127:1-127:24 - Kai Sun, Huajie Jiang, Yongli Hu, Baocai Yin:
Incorporating Multi-Level Sampling with Adaptive Aggregation for Inductive Knowledge Graph Completion. 128:1-128:16 - Rujing Yao, Ou Wu:
A Taxonomy for Learning with Perturbation and Algorithms. 129:1-129:38 - Yuehui Han:
Generation-based Multi-view Contrast for Self-supervised Graph Representation Learning. 130:1-130:17 - Kuldeep Singh, Bhaskar Biswas:
Mining Top-k High On-shelf Utility Itemsets Using Novel Threshold Raising Strategies. 131:1-131:23 - Sharon Torao-Pingi, Richi Nayak, Md. Abul Bashar:
Conditional Generative Adversarial Network for Early Classification of Longitudinal Datasets Using an Imputation Approach. 132:1-132:25 - Fadi Dornaika, Zoulfikar Ibrahim, Alireza Bosaghzadeh:
Scalable and Inductive Semi-supervised Classifier with Sample Weighting Based on Graph Topology. 133:1-133:18
Volume 18, Number 6, July 2024
- Yang Yang, Feifei Wang, Enqiang Zhu, Fei Jiang, Wen Yao:
Social Behavior Analysis in Exclusive Enterprise Social Networks by FastHAND. 134:1-134:32 - Huiping Chen, Alessio Conte, Roberto Grossi, Grigorios Loukides, Solon P. Pissis, Michelle Sweering:
On Breaking Truss-based and Core-based Communities. 135:1-135:43 - Xuefei Li, Huiwei Zhou, Weihong Yao, Wenchu Li, Baojie Liu, Yingyu Lin:
Intricate Spatiotemporal Dependency Learning for Temporal Knowledge Graph Reasoning. 136:1-136:19 - Yimei Zheng, Caiyan Jia:
ProtoMGAE: Prototype-Aware Masked Graph Auto-Encoder for Graph Representation Learning. 137:1-137:22 - April Chen, Ryan A. Rossi, Namyong Park, Puja Trivedi, Yu Wang, Tong Yu, Sungchul Kim, Franck Dernoncourt, Nesreen K. Ahmed:
Fairness-Aware Graph Neural Networks: A Survey. 138:1-138:23 - Acong Zhang, Jincheng Huang, Ping Li, Kai Zhang:
Building Shortcuts between Distant Nodes with Biaffine Mapping for Graph Convolutional Networks. 139:1-139:21 - Zhe Chen, Aixin Sun:
DP-GCN: Node Classification by Connectivity and Local Topology Structure on Real-World Network. 140:1-140:20 - Sarwan Ali, Muhammad Ahmad, Maham Anwer Beg, Imdad Ullah Khan, Safiullah Faizullah, Muhammad Asad Khan:
SsAG: Summarization and Sparsification of Attributed Graphs. 141:1-141:22 - Derun Song, Enneng Yang, Guibing Guo, Li Shen, Linying Jiang, Xingwei Wang:
Multi-Scenario and Multi-Task Aware Feature Interaction for Recommendation System. 142:1-142:20 - Richard Connor, Lucia Vadicamo:
nSimplex Zen: A Novel Dimensionality Reduction for Euclidean and Hilbert Spaces. 143:1-143:44 - Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu:
Citation Forecasting with Multi-Context Attention-Aided Dependency Modeling. 144:1-144:23 - Houquan Zhou, Shenghua Liu, Huawei Shen, Xueqi Cheng:
Node Embedding Preserving Graph Summarization. 145:1-145:19 - Konstantinos Theocharidis, Panagiotis Karras, Manolis Terrovitis, Spiros Skiadopoulos, Hady W. Lauw:
Adaptive Content-Aware Influence Maximization via Online Learning to Rank. 146:1-146:35 - George Paterakis, Stefanos Fafalios, Paulos Charonyktakis, Vassilis Christophides, Ioannis Tsamardinos:
Do We Really Need Imputation in AutoML Predictive Modeling? 147:1-147:64 - Chi Zhang, Linhao Cai, Meng Chen, Xiucheng Li, Gao Cong:
DeepMeshCity: A Deep Learning Model for Urban Grid Prediction. 148:1-148:26 - Hongwei Yang, Hui He, Weizhe Zhang, Yan Wang, Lin Jing:
Multi-Source and Multi-modal Deep Network Embedding for Cross-Network Node Classification. 149:1-149:26 - Can Rong, Zhicheng Liu, Jingtao Ding, Yong Li:
Learning to Generate Temporal Origin-destination Flow Based-on Urban Regional Features and Traffic Information. 150:1-150:17 - Zhibin Gu, Songhe Feng, Zhendong Li, Jiazheng Yuan, Jun Liu:
NOODLE: Joint Cross-View Discrepancy Discovery and High-Order Correlation Detection for Multi-View Subspace Clustering. 151:1-151:23 - Yuhan Wang, Qing Xie, Mengzi Tang, Lin Li, Jingling Yuan, Yongjian Liu:
A Dual Perspective Framework of Knowledge-correlation for Cross-domain Recommendation. 152:1-152:28 - Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Feng Chen:
Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness. 153:1-153:23 - Hong Zhao, Zhengyu Li, Wenwei He, Yan Zhao:
Hierarchical Convolutional Neural Network with Knowledge Complementation for Long-Tailed Classification. 154:1-154:22 - Sherry Sahebi, Mengfan Yao, Siqian Zhao, Reza Feyzi-Behnagh:
MoMENt: Marked Point Processes with Memory-Enhanced Neural Networks for User Activity Modeling. 155:1-155:32 - Minyoung Choe, Jaemin Yoo, Geon Lee, Woonsung Baek, U Kang, Kijung Shin:
Representative and Back-In-Time Sampling from Real-world Hypergraphs. 156:1-156:48 - Guosheng Cui, Ruxin Wang, Dan Wu, Ye Li:
Semi-supervised Multi-view Clustering based on NMF with Fusion Regularization. 157:1-157:26 - Jiadi Han, Yufei Tang, Qian Tao, Yuhan Xia, Liming Zhang:
Dual Homogeneity Hypergraph Motifs with Cross-view Contrastive Learning for Multiple Social Recommendations. 158:1-158:24 - Wentai Zhang, Haihong E, Haoran Luo, Mingzhi Sun:
FulBM: Fast Fully Batch Maintenance for Landmark-based 3-hop Cover Labeling. 159:1-159:26 - Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Shaochen Zhong, Bing Yin, Xia Ben Hu:
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond. 160:1-160:32
Volume 18, Number 7, August 2024
- Jingyi Cui, Guangquan Xu, Jian Liu, Shicheng Feng, Jianli Wang, Hao Peng, Shihui Fu, Zhaohua Zheng, James Xi Zheng, Shaoying Liu:
ID-SR: Privacy-Preserving Social Recommendation Based on Infinite Divisibility for Trustworthy AI. 161 - Xihong Yang, Yiqi Wang, Yue Liu, Yi Wen, Lingyuan Meng, Sihang Zhou, Xinwang Liu, En Zhu:
Mixed Graph Contrastive Network for Semi-supervised Node Classification. 162 - Zhaolong Ling, Enqi Xu, Peng Zhou, Liang Du, Kui Yu, Xindong Wu:
Fair Feature Selection: A Causal Perspective. 163 - Öykü Deniz Köse, Yanning Shen:
FairGAT: Fairness-Aware Graph Attention Networks. 164 - Shenghao Liu, Yu Zhang, Lingzhi Yi, Xianjun Deng, Laurence T. Yang, Bang Wang:
Dual-Side Adversarial Learning Based Fair Recommendation for Sensitive Attribute Filtering. 165 - Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao:
BapFL: You can Backdoor Personalized Federated Learning. 166 - Feifei Li, Yuanbin Wang, Oya Beyan, Mirjam Schöneck, Liliana Lourenco Caldeira:
Voxel-Wise Medical Image Generalization for Eliminating Distribution Shift. 167 - Cheng Wen, Yuandao Cai, Bin Zhang, Jie Su, Zhiwu Xu, Dugang Liu, Shengchao Qin, Zhong Ming, Cong Tian:
Automatically Inspecting Thousands of Static Bug Warnings with Large Language Model: How Far Are We? 168 - Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen:
Attacking Social Media via Behavior Poisoning. 169 - Dariusz Brzezinski, Julia Stachowiak, Jerzy Stefanowski, Izabela Szczech, Robert Susmaga, Sofya Aksenyuk, Uladzimir Ivashka, Oleksandr Yasinskyi:
Properties of Fairness Measures in the Context of Varying Class Imbalance and Protected Group Ratios. 170 - Yunkai Chen, Qimeng Wang, Shiwei Wu, Yan Gao, Tong Xu, Yao Hu:
TOMGPT: Reliable Text-Only Training Approach for Cost-Effective Multi-modal Large Language Model. 171 - Jiaxin Zhang, Yiqi Wang, Xihong Yang, En Zhu:
A Fully Test-time Training Framework for Semi-supervised Node Classification on Out-of-Distribution Graphs. 172 - Ronghang Zhu, Dongliang Guo, Daiqing Qi, Zhixuan Chu, Xiang Yu, Sheng Li:
A Survey of Trustworthy Representation Learning Across Domains. 173
- Mengyao Li, Zhiyong Li, Zhibang Yang, Xu Zhou, Yifan Li, Ziyan Wu, Lingzhao Kong, Ke Nai:
SA2E-AD: A Stacked Attention Autoencoder for Anomaly Detection in Multivariate Time Series. 174 - Wen-Ming Zhuang, Chih-Yao Chen, Cheng-Te Li:
Towards Robust Rumor Detection with Graph Contrastive and Curriculum Learning. 175 - Lei Zhang, Lele Fu, Chen Liu, Zhao Yang, Jinghua Yang, Zibin Zheng, Chuan Chen:
Toward Few-Label Vertical Federated Learning. 176 - Xinru Liu, Yongjing Hao, Lei Zhao, Guanfeng Liu, Victor S. Sheng, Pengpeng Zhao:
LMACL: Improving Graph Collaborative Filtering with Learnable Model Augmentation Contrastive Learning. 177 - Philipp Schlieper, Hermann Luft, Kai Klede, Christoph Strohmeyer, Björn M. Eskofier, Dario Zanca:
Enhancing Unsupervised Outlier Model Selection: A Study on IREOS Algorithms. 178 - Hongjie Sui, Huan Yan, Tianyi Zheng, Wenzhen Huang, Yunlin Zhuang, Yong Li:
Congestion-aware Spatio-Temporal Graph Convolutional Network-based A* Search Algorithm for Fastest Route Search. 179 - Manuele Bicego, Ferdinando Cicalese:
Computing Random Forest-distances in the presence of missing data. 180 - Jiayi Deng, Danyang Huang, Bo Zhang:
Distributed Pseudo-Likelihood Method for Community Detection in Large-Scale Networks. 181 - Bolun (Namir) Xia, Vipula Rawte, Aparna Gupta, Mohammed J. Zaki:
FETILDA: Evaluation Framework for Effective Representations of Long Financial Documents. 182
Volume 18, Number 8, September 2024
- Penghang Yu, Bing-Kun Bao, Zhiyi Tan, Guanming Lu:
Improving Graph Collaborative Filtering with Directional Behavior Enhanced Contrastive Learning. 183:1-183:20 - Fengcheng Lu, Michael Kwok-Po Ng:
FastHGNN: A New Sampling Technique for Learning with Hypergraph Neural Networks. 184:1-184:26 - Yinqiu Huang, Min Gao, Kai Shu, Chenghua Lin, Jia Wang, Wei Zhou:
EML: Emotion-Aware Meta Learning for Cross-Event False Information Detection. 185:1-185:25 - Yu-Yang Qian, Zhen-Yu Zhang, Peng Zhao, Zhi-Hua Zhou:
Learning with Asynchronous Labels. 186:1-186:27 - Yifan He, Yatao Bian, Xi Ding, Bingzhe Wu, Jihong Guan, Ji Zhang, Shuigeng Zhou:
Variate Associated Domain Adaptation for Unsupervised Multivariate Time Series Anomaly Detection. 187:1-187:24 - Tianhai Liang, Qiangqiang Shen, Shuqin Wang, Yongyong Chen, Guokai Zhang, Junxin Chen:
Data Completion-Guided Unified Graph Learning for Incomplete Multi-View Clustering. 188:1-188:23 - Tong Li, Shuodi Hui, Shiyuan Zhang, Huandong Wang, Yuheng Zhang, Pan Hui, Depeng Jin, Yong Li:
Mobile User Traffic Generation Via Multi-Scale Hierarchical GAN. 189:1-189:19 - Victor Gomes De Oliveira Martins Nicola, Karina Valdivia Delgado, Marcelo de Souza Lauretto:
Imbalance-Robust Multi-Label Self-Adjusting kNN. 190:1-190:30 - Xiangyu Li, Hua Wang:
On Mean-Optimal Robust Linear Discriminant Analysis. 191:1-191:27 - Ocheme Anthony Ekle, William Eberle:
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey. 192:1-192:44 - Yunjia Xi, Weiwen Liu, Xinyi Dai, Ruiming Tang, Qing Liu, Weinan Zhang, Yong Yu:
Utility-Oriented Reranking with Counterfactual Context. 193:1-193:22 - Jiao Yin, Wei Hong, Hua Wang, Jinli Cao, Yuan Miao, Yanchun Zhang:
A Compact Vulnerability Knowledge Graph for Risk Assessment. 194:1-194:17 - Lingkai Yang, Sally I. McClean, Mark P. Donnelly, Kashaf Khan, Kevin Burke:
Detecting Process Duration Drift Using Gamma Mixture Models in a Left-Truncated and Right-Censored Environment. 195:1-195:24 - Yang Zhang, Ting Yu, Shengqiang Chi, Zhen Wang, Yue Gao, Ji Zhang, Tianshu Zhou:
Attribute Diversity Aware Community Detection on Attributed Graphs Using Three-View Graph Attention Neural Networks. 196:1-196:24 - Munan Li, Kai Liu, Hongbo Liu, Zheng Zhao, Tomas E. Ward, Xindong Wu:
Heterogeneous Meta-Path Graph Learning for Higher-Order Social Recommendation. 197:1-197:25 - Yuliang Liang, Enneng Yang, Guibing Guo, Wei Cai, Linying Jiang, Xingwei Wang:
Deconfounding User Preference in Recommendation Systems through Implicit and Explicit Feedback. 198:1-198:18 - Ziyu Zhao, Yuqi Bai, Ruoxuan Xiong, Qingyu Cao, Chao Ma, Ning Jiang, Fei Wu, Kun Kuang:
Learning Individual Treatment Effects under Heterogeneous Interference in Networks. 199:1-199:21 - Fei Ma, Ping Wang:
Structural Properties on Scale-Free Tree Network with an Ultra-Large Diameter. 200:1-200:26 - Jiaye Li, Jinjing Shi, Jian Zhang, Yuhu Lu, Qin Li, Chunlin Yu, Shichao Zhang:
Quantum Nearest Neighbor Collaborative Filtering Algorithm for Recommendation System. 201:1-201:28 - Shifei Ding, Benyu Wu, Ling Ding, Xiao Xu, Lili Guo, Hongmei Liao, Xindong Wu:
Towards Faster Deep Graph Clustering via Efficient Graph Auto-Encoder. 202:1-202:23 - Mingchen Sun, Yingji Li, Ying Wang, Xin Wang:
Towards Domain-Aware Stable Meta Learning for Out-of-Distribution Generalization. 203:1-203:24 - Xiangyu Wei, Wei Wang, Chongsheng Zhang, Weiping Ding, Bin Wang, Yaguan Qian, Zhen Han, Chunhua Su:
Neighbor-Enhanced Representation Learning for Link Prediction in Dynamic Heterogeneous Attributed Networks. 204:1-204:25 - Hongyu Li, Lefei Zhang, Kehua Su, Wei Yu:
MICCF: A Mutual Information Constrained Clustering Framework for Learning Clustering-Oriented Feature Representations. 205:1-205:22 - Chengwu Liao, Chao Chen, Wanyi Zhang, Suiming Guo, Chao Liu:
AGENDA: Predicting Trip Purposes with A New Graph Embedding Network and Active Domain Adaptation. 206:1-206:25 - Bo Peng, Ziqi Chen, Srinivasan Parthasarathy, Xia Ning:
Modeling Sequences as Star Graphs to Address Over-Smoothing in Self-Attentive Sequential Recommendation. 207:1-207:24 - Chunnan Wang, Xiangyu Shi, Hongzhi Wang:
Fair Federated Learning with Multi-Objective Hyperparameter Optimization. 208:1-208:13 - Peng Zhou, Yufeng Guo, Haoran Yu, Yuanting Yan, Yanping Zhang, Xindong Wu:
Concept Evolution Detecting over Feature Streams. 209:1-209:32 - Siyuan Meng, Jie Zhou, Xuxin Chen, Yufei Liu, Fengyuan Lu, Xinli Huang:
Structure-Information-Based Reasoning over the Knowledge Graph: A Survey of Methods and Applications. 210:1-210:42
Volume 18, Number 9, November 2024
- Lele Fu, Sheng Huang, Lei Zhang, Jinghua Yang, Zibin Zheng, Chuanfu Zhang, Chuan Chen:
Subspace-Contrastive Multi-View Clustering. 211:1-211:35 - Yonghao Liu, Mengyu Li, Ximing Li, Lan Huang, Fausto Giunchiglia, Yanchun Liang, Xiaoyue Feng, Renchu Guan:
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training. 212:1-212:30 - Rahul Kumar, João Mendes-Moreira, Joydeep Chandra:
Spatio-Temporal Parallel Transformer Based Model for Traffic Prediction. 213:1-213:25 - Konstantin Voevodski:
Large-Scale K-Clustering. 214:1-214:23 - Qiaohong Yu, Huandong Wang, Yu Liu, Depeng Jin, Yong Li, Lin Zhu, Junlan Feng:
Mobility Prediction via Rule-enhanced Knowledge Graph. 215:1-215:21 - Jiacheng Yang, Miaoxin Chen, Cao Liu, Boqi Dai, Hai-Tao Zheng, Hui Wang, Rui Xie, Hong-Gee Kim:
A Segment Augmentation and Prediction Consistency Framework for Multi-label Unknown Intent Detection. 216:1-216:18 - Paul Burkhardt:
Triangle Centrality. 217:1-217:34 - Qianru Zhang, Zheng Wang, Cheng Long, Siu-Ming Yiu:
Billiards Sports Analytics: Datasets and Tasks. 218:1-218:27 - Min-Jeong Kim, Yeon-Chang Lee, David Y. Kang, Sang-Wook Kim:
Trustworthiness-Driven Graph Convolutional Networks for Signed Network Embedding. 219:1-219:26 - Yan Gong, Georgina Cosma, Axel Finke:
VITR: Augmenting Vision Transformers with Relation-Focused Learning for Cross-modal Information Retrieval. 220:1-220:21 - Wangyang Ying, Dongjie Wang, Haifeng Chen, Yanjie Fu:
Feature Selection as Deep Sequential Generative Learning. 221:1-221:21 - Wei Liu, Leong Hou U, Shangsong Liang, Huaijie Zhu, Jianxing Yu, Yubao Liu, Jian Yin:
VAE*: A Novel Variational Autoencoder via Revisiting Positive and Negative Samples for Top-N Recommendation. 222:1-222:24 - Zhu Wang, Fengxia Han, Shengjie Zhao:
A Survey on Knowledge Graph Related Research in Smart City Domain. 223:1-223:31 - Hongjun Wang, Yi Song, Wei Chen, Zhipeng Luo, Chongshou Li, Tianrui Li:
A Survey of Co-Clustering. 224:1-224:28 - Kewei Cheng, Nesreen K. Ahmed, Ryan A. Rossi, Theodore L. Willke, Yizhou Sun:
Neural-Symbolic Methods for Knowledge Graph Reasoning: A Survey. 225:1-225:44 - Tao Tan, Hong Xie, Xiaoyu Shi, Mingsheng Shang:
A Meta-Learning Approach to Mitigating the Estimation Bias of Q-Learning. 226:1-226:23 - Jun Tan, Zhifeng Qiu, Ning Gui:
Graph Representation Learning Enhanced Semi-Supervised Feature Selection. 227:1-227:20 - Keyi Li, Sen Yang, Travis M. Sullivan, Randall S. Burd, Ivan Marsic:
ProcessGAN: Generating Privacy-Preserving Time-Aware Process Data with Conditional Generative Adversarial Nets. 228:1-228:31 - Jiaqian Ren, Hao Peng, Lei Jiang, Zhifeng Hao, Jia Wu, Shengxiang Gao, Zhengtao Yu, Qiang Yang:
Toward Cross-Lingual Social Event Detection with Hybrid Knowledge Distillation. 229:1-229:36 - Nan Yin, Li Shen, Chong Chen, XianSheng Hua, Xiao Luo:
SPORT: A Subgraph Perspective on Graph Classification with Label Noise. 230:1-230:20 - Shuo Yu, Feng Xia, Honglong Chen, Ivan Lee, Lianhua Chi, Hanghang Tong:
Heterogeneous Network Motif Coding, Counting, and Profiling. 231:1-231:21 - Jiahui Feng, Hefu Liu, Jingmei Zhou, Yang Zhou:
A Spatial-Temporal Aggregated Graph Neural Network for Docked Bike-sharing Demand Forecasting. 232:1-232:27 - Yidong Wang, Meng Ding, Jinhui Xu, Di Wang:
Fair Single Index Model. 233:1-233:33 - Jose Cribeiro-Ramallo, Vadim Arzamasov, Klemens Böhm:
Efficient Generation of Hidden Outliers for Improved Outlier Detection. 234:1-234:21 - Longji Huang, Jianbin Huang, He Li, Jiangtao Cui:
LSTGCN: Inductive Spatial Temporal Imputation Using Long Short-Term Dependencies. 235:1-235:25 - Shucheng Li, Jingzhou Zhu, Boyu Chang, Hao Wu, Fengyuan Xu, Sheng Zhong:
Multi-Label and Evolvable Dataset Preparation for Web-Based Object Detection. 236:1-236:21 - Sejoon Oh, Berk Ustun, Julian J. McAuley, Srijan Kumar:
FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning. 237:1-237:22 - Yifan Li, Shuhan Qi, Xuan Wang, Jiajia Zhang, Lei Cui:
A Novel Tree-Based Method for Interpretable Reinforcement Learning. 238:1-238:22
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