Table of Contents

• STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19Han Bao 0003, Xun Zhou, Yiqun Xie, Yanhua Li, Xiaowei Jia. 1-10 [doi]
• Which Companies are Likely to Invest: Knowledge-graph-based Recommendation for Investment PromotionChenyang Bu, Jiawei Zhang, Xingchen Yu, Le Wu, Xindong Wu 0001. 11-20 [doi]
• TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed DatasetsYuanying Cai, Chuheng Zhang, Li Zhao, Wei Shen, Xuyun Zhang, Lei Song, Jiang Bian 0002, Tao Qin, Tieyan Liu. 21-30 [doi]
• Federated Fingerprint Learning with Heterogeneous ArchitecturesTianshi Che, Zijie Zhang, Yang Zhou, Xin Zhao, Ji Liu, Zhe Jiang 0001, Da Yan 0001, Ruoming Jin, Dejing Dou. 31-40 [doi]
• Robust Structure-aware Semi-supervised LearningXu Chen. 41-50 [doi]
• Projection Dual Averaging Based Second-order Online LearningZhong Chen 0003, Huixin Zhan, Victor S. Sheng, Andrea Edwards, Kun Zhang 0012. 51-60 [doi]
• Contractible Regularization for Federated Learning on Non-IID DataZifan Chen, Zhe Wu, Xian Wu, Li Zhang, Jie Zhao, Yangtian Yan, Yefeng Zheng 0001. 61-70 [doi]
• Concise and interpretable multi-label rule setsMartino Ciaperoni, Han Xiao 0009, Aristides Gionis. 71-80 [doi]
• MedSkim: Denoised Health Risk Prediction via Skimming Medical Claims DataSuhan Cui, Junyu Luo, Muchao Ye, Jiaqi Wang, Ting Wang, Fenglong Ma. 81-90 [doi]
• Causality Enhanced Societal Event Forecasting With Heterogeneous Graph LearningSonggaojun Deng, Huzefa Rangwala, Yue Ning 0001. 91-100 [doi]
• Class-Specific Explainability for Deep Time Series ClassifiersRamesh Doddaiah, Prathyush S. Parvatharaju, Elke A. Rundensteiner, Thomas Hartvigsen. 101-110 [doi]
• Hypernode: Entity Fusion for Data Traceability and Link PredictionBingbing Dong, Zan Zhang, Jiao Li, Yi Zhu 0006, Chenyang Bu, Xindong Wu 0001. 111-120 [doi]
• Conditional Independence Testing via Latent Representation LearningBao Duong, Thin Nguyen. 121-130 [doi]
• FedSkip: Combatting Statistical Heterogeneity with Federated Skip AggregationZiqing Fan, Yanfeng Wang, Jiangchao Yao, Lingjuan Lyu, Ya Zhang, Qi Tian 0001. 131-140 [doi]
• Towards Feature Distribution Alignment and Diversity Enhancement for Data-Free QuantizationYangcheng Gao, Zhao Zhang 0001, Richang Hong, Haijun Zhang, Jicong Fan, Shuicheng Yan. 141-150 [doi]
• Enhancing Robust Text Classification via Category DescriptionXin Gao, Zhengye Zhu, Xu Chu, Yasha Wang, Wenjie Ruan, Junfeng Zhao 0001. 151-160 [doi]
• Meta-Transfer Learning: An application to Streamflow modeling in River-streamsRahul Ghosh, Bangyan Li, Kshitij Tayal, Vipin Kumar 0001, Xiaowei Jia. 161-170 [doi]
• Text-enhanced Multi-Granularity Temporal Graph Learning for Event PredictionXiaoxue Han, Yue Ning 0001. 171-180 [doi]
• Structural Robust Label Propagation on Homogeneous GraphsQiuting He, Jinsong Chen, Hao Xu, Kun He 0001. 181-190 [doi]
• Privacy-Preserved Neural Graph Similarity LearningYupeng Hou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen. 191-200 [doi]
• GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph GenerationHan Huang, Leilei Sun, Bowen Du 0001, Yanjie Fu, Weifeng Lv. 201-210 [doi]
• Deep Geometrical Learning for Alzheimer's Disease Progression ModelingSeungwoo Jeong, Wonsik Jung, Junghyo Sohn, Heung-Il Suk. 211-220 [doi]
• Kernel-based Substructure Exploration for Next POI RecommendationWei Ju, Yifang Qin, Ziyue Qiao, Xiao Luo, Yifan Wang, Yanjie Fu, Ming Zhang. 221-230 [doi]
• CC-GNN: A Community and Contraction-based Graph Neural NetworkZhiyuan Li, Xun Jian, Yue Wang, Lei Chen. 231-240 [doi]
• Kernel-based Hybrid Interpretable Transformer for High-frequency Stock Movement PredictionFan Lin, Pengfei Li, Yuanguo Lin, Zhennan Chen, Huanyu You, Shibo Feng. 241-250 [doi]
• Inconsistency Distillation For Consistency: Enhancing Multi-View Clustering via Mutual Contrastive Teacher-Student LeaningDunqiang Liu, Shu-Juan Peng, Xin Liu, Lei Zhu, Zhen Cui, Taihao Li. 251-258 [doi]
• DAGAD: Data Augmentation for Graph Anomaly DetectionFanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou 0001, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal. 259-268 [doi]
• A Cognitive Solver with Autonomously Knowledge Learning for Reasoning Mathematical AnswersJiayu Liu, Zhenya Huang, Xin Lin, Qi Liu, Jianhui Ma, Enhong Chen. 269-278 [doi]
• Temporal Knowledge Graph Reasoning via Time-Distributed Representation LearningKangzheng Liu, Feng Zhao, Guandong Xu, Xianzhi Wang 0001, Hai Jin 0001. 279-288 [doi]
• One Person, One Model - Learning Compound Router for Sequential RecommendationZhiding Liu, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen. 289-298 [doi]
• Learning from the Multi-Level Abstraction of the Control Flow Graph via Alternating Propagation for Bug LocalizationYi-Fan Ma, Ming Li. 299-308 [doi]
• HyperKGQA: Question Answering over Knowledge Graphs using Hyperbolic Representation LearningNadya Abdel Madjid, Ola El Khatib, Shuang Gao, Djellel Difallah. 309-318 [doi]
• Extremely Fast Hoeffding Adaptive TreeChaitanya Manapragada, Mahsa Salehi, Geoffrey I. Webb. 319-328 [doi]
• HiGIL: Hierarchical Graph Inference Learning for Fact CheckingQianren Mao, Yiming Wang, Chenghong Yang, Linfeng Du, Hao Peng, Jia Wu, Jianxin Li, Zheng Wang. 329-337 [doi]
• Matrix Profile XXV: Introducing Novelets: A Primitive that Allows Online Detection of Emerging Behaviors in Time SeriesRyan Mercer, Eamonn J. Keogh. 338-347 [doi]
• Multi-Graph Convolutional Recurrent Network for Fine-Grained Lane-Level Traffic Flow ImputationJingci Ming, Le Zhang, Wei Fan, Weijia Zhang 0003, Yu Mei, Weicen Ling, Hui Xiong 0001. 348-357 [doi]
• Revisiting Link Prediction on Heterogeneous Graphs with a Multi-view PerspectiveAnasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy 0001, Balaraman Ravindran. 358-367 [doi]
• Query-Efficient Target-Agnostic Black-Box AttackRaha Moraffah, Huan Liu 0001. 368-377 [doi]
• A Large-Scale Ensemble Learning Framework for Demand ForecastingYoung-Jin Park, Donghyun Kim, Frédéric Odermatt, Juho Lee, Kyung Min Kim. 378-387 [doi]
• Backpropagation-free Graph Neural NetworksLuca Pasa, Nicolò Navarin, Wolfgang Erb, Alessandro Sperduti. 388-397 [doi]
• Contrastive Code-Comment Pre-trainingXiaohuan Pei, Daochang Liu, Luo Qian, Chang Xu 0002. 398-407 [doi]
• Self-Attention Gated Cognitive Diagnosis For Faster Adaptive Educational AssessmentsXiaohuan Pei, Shuo Yang, Jiajun Huang, Chang Xu. 408-417 [doi]
• Alice and the Caterpillar: A More Descriptive Null Model for Assessing Data Mining ResultsGiulia Preti, Gianmarco De Francisci Morales, Matteo Riondato. 418-427 [doi]
• Beyond Double Ascent via Recurrent Neural Tangent Kernel in Sequential RecommendationRuihong Qiu, Zi Huang, Hongzhi Yin. 428-437 [doi]
• Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient PerspectiveWeijieying Ren, Lei Wang, Kunpeng Liu 0001, Ruocheng Guo, Ee-Peng Lim, Yanjie Fu. 438-447 [doi]
• Towards Scalable and Fast Distributionally Robust Optimization for Data-Driven Deep LearningXuli Shen, Xiaomei Wang, Qing Xu, Weifeng Ge, Xiangyang Xue. 448-457 [doi]
• AutoAssign: Automatic Shared Embedding Assignment in Streaming RecommendationFengyi Song, Bo Chen 0023, Xiangyu Zhao, Huifeng Guo, Ruiming Tang. 458-467 [doi]
• ABN: Anti-Blur Neural Networks for Multi-Stage Deformable Image RegistrationYao Su 0003, Xin Dai, Lifang He 0001, Xiangnan Kong. 468-477 [doi]
• Few-shot Partial Multi-label Learning with Data AugmentationYifan Sun, Yunfeng Zhao, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi. 478-487 [doi]
• NeuCEPT: Learn Neural Networks' Mechanism via Critical Neurons with Precision GuaranteeMinh N. Vu, Truc D. T. Nguyen, My T. Thai. 488-497 [doi]
• GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on GraphsBinghui Wang, Ang Li 0005, Meng Pang, Hai Li, Yiran Chen 0001. 498-507 [doi]
• FineFormer: Fine-Grained Adaptive Object Transformer for Image CaptioningBo Wang, Zhao Zhang 0001, Jicong Fan, Mingbo Zhao, Choujun Zhan, Mingliang Xu. 508-517 [doi]
• Countering Modal Redundancy and Heterogeneity: A Self-Correcting Multimodal FusionPengkun Wang, Xu Wang, Binwu Wang, Yudong Zhang, Lei Bai 0015, Yang Wang. 518-527 [doi]
• Heterogeneous Graph Neural Network for Privacy-Preserving RecommendationYuecen Wei, Xingcheng Fu, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li. 528-537 [doi]
• Efficient Semi-Supervised Adversarial Training without Guessing LabelsHuimin Wu, William de Vazelhes, Bin Gu 0001. 538-547 [doi]
• GraphBERT: Bridging Graph and Text for Malicious Behavior Detection on Social MediaJiele Wu, Chunhui Zhang, Zheyuan Liu 0010, Erchi Zhang, Steven Wilson, Chuxu Zhang. 548-557 [doi]
• GRANDE: a neural model over directed multigraphs with application to anti-money launderingRuofan Wu, Boqun Ma, Hong Jin, Wenlong Zhao, Weiqiang Wang, Tianyi Zhang. 558-567 [doi]
• TENALIGN: Joint Tensor Alignment and Coupled FactorizationYunshu Wu, Uday Singh Saini, Jia Chen, Evangelos E. Papalexakis. 568-577 [doi]
• Fast Stochastic Recursive Momentum Methods for Imbalanced Data MiningXidong Wu, Feihu Huang, Heng Huang. 578-587 [doi]
• Efficient Navigation for Constrained Shortest Path with Adaptive Expansion ControlWenwen Xia, Yuchen Li 0001, Wentian Guo, Shenghong Li 0001. 588-597 [doi]
• MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for RecommendationXiangjin Xie, Yuxin Chen, Ruipeng Wang, Xianli Zhang, Shilei Cao 0001, Kai Ouyang, Zihan Zhang, Hai-Tao Zheng 0002, Buyue Qian, Hansen Zheng, Bo Hu, Chengxiang Zhuo, Zang Li. 598-607 [doi]
• Generalized Few-Shot Node ClassificationZhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu 0001, Hanghang Tong. 608-617 [doi]
• Neuro-symbolic Models for Interpretable Time Series Classification using Temporal Logic DescriptionRuixuan Yan, Tengfei Ma 0001, Achille Fokoue, Maria Chang, Agung Julius. 618-627 [doi]
• A Bi-directional Recommender System for Online RecruitmentZhe-Rui Yang, Zhen-Yu He, Chang-Dong Wang, Pei-Yuan Lai, De-Zhang Liao, Zhong-Zheng Wang. 628-637 [doi]
• Privacy-Preserving Split Learning via Patch Shuffling over TransformersDixi Yao, Liyao Xiang, Hengyuan Xu, Hangyu Ye, Yingqi Chen. 638-647 [doi]
• Detach and Enhance: Learning Disentangled Cross-modal Latent Representation for Efficient Face-Voice Association and MatchingZhenning Yu, Xin Liu, Yiu-ming Cheung, Minghang Zhu, Xing Xu, Nannan Wang, Taihao Li. 648-655 [doi]
• Neural Network Driven by Space-time Partial Differential Equation for Predicting Sea Surface TemperatureTaikang Yuan, Junxing Zhu, Kaijun Ren, Wuxin Wang, Xiang Wang, Xiaoyong Li. 656-665 [doi]
• Dimensionality Selection of Hyperbolic Graph Embeddings using Decomposed Normalized Maximum Likelihood Code-LengthRyo Yuki, Yuichi Ike, Kenji Yamanishi. 666-675 [doi]
• Coresets remembered and items forgotten: submodular maximization with deletionsGuangyi Zhang 0001, Nikolaj Tatti, Aristides Gionis. 676-685 [doi]
• A Unified Guaranteed Impression Allocation Framework for Online Display AdvertisingHong Zhang, Lan Zhang, Ju Huang, Anran Li, Haoran Cheng, Dongbo Huang, Lan Xu. 686-694 [doi]
• Rethinking Symmetric Matrix Factorization: A More General and Better Clustering PerspectiveMengyuan Zhang 0002, Kai Liu. 695-702 [doi]
• A Dynamic Variational Framework for Open-World Node Classification in Structured SequencesQin Zhang, Qincai Li, Xiaojun Chen, Peng Zhang, Shirui Pan, Philippe Fournier-Viger, Joshua Zhexue Huang. 703-712 [doi]
• Learning Representations from Local to Global for Fine-grained Patient Similarity Measuring in Intensive Care UnitXianli Zhang, Buyue Qian, Yang Li, Zeyu Gao, Chong Guan, Renzhen Wang, Yefeng Zheng 0001, Hansen Zheng, Chen Li 0011. 713-722 [doi]
• Feature-Oriented Sampling for Fast and Scalable GNN TrainingXin Zhang, Yanyan Shen, Lei Chen. 723-732 [doi]
• Mest-GAN: Cross-City Urban Traffic Estimation with Me ta S patial-T emporal G enerative A dversarial N etworksYingxue Zhang 0002, Yanhua Li, Xun Zhou, Jun Luo 0007. 733-742 [doi]
• STrans-GAN: Spatially-Transferable Generative Adversarial Networks for Urban Traffic EstimationYingxue Zhang 0002, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo. 743-752 [doi]
• Unsupervised Deep Subgraph Anomaly DetectionZheng Zhang, Liang Zhao. 753-762 [doi]
• How Out-of-Distribution Data Hurts Semi-Supervised LearningXujiang Zhao, KrishnaTeja Killamsetty, Rishabh K. Iyer, Feng Chen 0001. 763-772 [doi]
• Toward Unsupervised Outlier Model SelectionYue Zhao 0016, Sean Zhang, Leman Akoglu. 773-782 [doi]
• Multi-Relational Graph Neural Architecture Search with Fine-grained Message PassingXin Zheng, Miao Zhang, Chunyang Chen, Chaojie Li, Chuan Zhou 0001, Shirui Pan. 783-792 [doi]
• Unifying Graph Contrastive Learning with Flexible Contextual ScopesYizhen Zheng, Yu Zheng, Xiaofei Zhou, Chen Gong 0002, Vincent C. S. Lee, Shirui Pan. 793-802 [doi]
• AutoAttention: Automatic Field Pair Selection for Attention in User Behavior ModelingZuowu Zheng, Xiaofeng Gao 0001, Junwei Pan, Qi Luo, Guihai Chen, Dapeng Liu, Jie Jiang. 803-812 [doi]
• Task-level Relations Modelling for Graph Meta-learningYuchen Zhou, Yanan Cao, Yanmin Shang, Chuan Zhou 0001, Chuancheng Song, Fengzhao Shi, Qian Li 0003. 813-822 [doi]
• A Knowledge-Enhanced Framework for Imitative Transportation Trajectory GenerationQingyan Zhu, Yize Chen, Hao Wang, Zhenyu Zeng, Hao Liu. 823-832 [doi]
• Widening the Time Horizon: Predicting the Long-Term Behavior of Chaotic SystemsYong Zhuang, Matthew Almeida, Wei Ding 0003, Patrick D. Flynn, Shafiqul Islam, Ping Chen 0001. 833-842 [doi]
• Diameter Minimization by Shortcutting with Degree ConstraintsFlorian Adriaens, Aristides Gionis. 843-848 [doi]
• THINK: Temporal Hypergraph Hyperbolic NetworkShivam Agarwal, Ramit Sawhney, Megh Thakkar, Preslav Nakov, Jiawei Han 0001, Tyler Derr. 849-854 [doi]
• A Two-Stream Light Graph Convolution Network-based Latent Factor Model for Accurate Cloud Service QoS EstimationFanghui Bi, Tiantian He, Xin Luo. 855-860 [doi]
• Post-Robustifying Deep Anomaly Detection Ensembles by Model SelectionBenedikt Böing, Simon Klüttermann, Emmanuel Müller. 861-866 [doi]
• △-Closure Structure for Studying Data DistributionAleksey Buzmakov, Sergei O. Kuznetsov, Tatiana Makhalova, Amedeo Napoli. 867-872 [doi]
• Dirichlet process mixture models for non-stationary data streamsIoar Casado, Aritz Pérez. 873-878 [doi]
• Origin-Destination Traffic Prediction based on Hybrid Spatio-Temporal NetworkTingyang Chen, Lugang Nie, Jiwei Pan, Lai Tu, Bolong Zheng, Xiang Bai. 879-884 [doi]
• Empowerment-driven Policy Gradient Learning with Counterfactual Augmentation in Recommender SystemsXiaocong Chen, Lina Yao 0001, Xiaojun Chang, Siyu Wang. 885-890 [doi]
• Exploiting Hierarchical Correlations for Cross-City Cross-Mode Traffic Flow PredictionYan Chen, Jingjing Gu, Fuzhen Zhuang, Xinjiang Lu, Ming Sun. 891-896 [doi]
• Correntropy-Induced Tensor Learning for Multi-view Subspace ClusteringYongyong Chen, Shuqin Wang, Jingyong Su, Junxin Chen. 897-902 [doi]
• Boosting Object Detection Ensembles with Error DiversityKa Ho Chow, Ling Liu. 903-908 [doi]
• Decomposing Complementary and Substitutable Relations for Intercorporate Investment RecommendationLe Dai, Yu Yin, Chuan Qin 0002, Enhong Chen, Hui Xiong 0001. 909-914 [doi]
• Conflict-Aware Pseudo Labeling via Optimal Transport for Entity AlignmentQijie Ding, Daokun Zhang, Jie Yin. 915-920 [doi]
• DBHD: Density-based clustering for highly varying densityWalid Durani, Dominik Mautz, Claudia Plant, Christian Böhm. 921-926 [doi]
• Structure-Preserving Graph Representation LearningRuiyi Fang, Liangjian Wen, Zhao Kang 0001, Jianzhuang Liu. 927-932 [doi]
• Invariant Factor Graph Neural NetworksZheng Fang 0007, Ziyun Zhang, Guojie Song, Yingxue Zhang, Dong Li, Jianye Hao, Xi Wang. 933-938 [doi]
• IGNiteR: News Recommendation in Microblogging ApplicationsYuting Feng, Bogdan Cautis. 939-944 [doi]
• Multi-Objective Symbolic Regression for Data-Driven Scoring System ManagementDavide Ferrari, Veronica Guidetti, Federica Mandreoli. 945-950 [doi]
• VERIPS: Verified Pseudo-label Selection for Deep Active LearningSandra Gilhuber, Philipp Jahn, Yunpu Ma, Thomas Seidl 0001. 951-956 [doi]
• Unfair AI: It Isn't Just Biased DataChowdhury Mohammad Rakin Haider, Chris Clifton, Yan Zhou 0001. 957-962 [doi]
• Few-shot Anomaly Detection and Classification Through Reinforced Data SelectionXiao Han 0008, Depeng Xu, Shuhan Yuan, Xintao Wu. 963-968 [doi]
• Non-local Patch Mixup for Unsupervised Domain AdaptationJiujun He, Bin Liu, Xuan Yang. 969-974 [doi]
• Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural NetworksHussain Hussain, Meng Cao, Sandipan Sikdar, Denis Helic, Elisabeth Lex, Markus Strohmaier, Roman Kern. 975-980 [doi]
• RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical ImagingAjay Jaiswal, Kumar Ashutosh, Justin F. Rousseau, Yifan Peng, Zhangyang Wang, Ying Ding 0001. 981-986 [doi]
• D.MCA: Outlier Detection with Explicit Micro-Cluster AssignmentsShuli Jiang, Robson L. F. Cordeiro, Leman Akoglu. 987-992 [doi]
• Pruning Adversarially Robust Neural Networks without Adversarial ExamplesTong Jian, Zifeng Wang 0002, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis. 993-998 [doi]
• Near-Optimal Spectral Disease Mitigation in Healthcare FacilitiesMasahiro Kiji, D. M. Hasibul Hasan, Alberto M. Segre, Sriram V. Pemmaraju, Bijaya Adhikari. 999-1004 [doi]
• Reciprocity in Directed Hypergraphs: Measures, Findings, and GeneratorsSunwoo Kim, Minyoung Choe, Jaemin Yoo, Kijung Shin. 1005-1010 [doi]
• Boolean Matrix Factorization for Data with Symmetric VariablesJan Konecny 0001, Martin Trnecka. 1011-1016 [doi]
• On Finding and Analyzing the Backbone of the k-Core Structure of a GraphRicky Laishram, Sucheta Soundarajan. 1017-1022 [doi]
• Set2Box: Similarity Preserving Representation Learning for SetsGeon Lee, Chanyoung Park, Kijung Shin. 1023-1028 [doi]
• DREAM: Domain Invariant and Contrastive Representation for Sleep DynamicsSeungYeon Lee, Thai-Hoang Pham, Ping Zhang 0016. 1029-1034 [doi]
• THOR: Self-Supervised Temporal Knowledge Graph Embedding via Three-Tower Graph Convolutional NetworksYeon-Chang Lee, JaeHyun Lee, Dongwon Lee 0001, Sang-Wook Kim. 1035-1040 [doi]
• Self-explaining Hierarchical Model for Intraoperative Time SeriesDingwen Li, Bing Xue, Christopher R. King, Bradley A. Fritz, Michael Avidan, Joanna Abraham, Chenyang Lu 0001. 1041-1046 [doi]
• On Mean-Optimal Robust Linear Discriminant AnalysisXiangyu Li, Hua Wang. 1047-1052 [doi]
• Contrastive Individual Treatment Effects EstimationXinshu Li, Lina Yao 0001. 1053-1058 [doi]
• The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud DetectionZhixun Li, Dingshuo Chen, Qiang Liu 0006, Shu Wu. 1059-1064 [doi]
• DeepGAR: Deep Graph Learning for Analogical ReasoningChen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, Liang Zhao 0002. 1065-1070 [doi]
• Robustness May be at Odds with Stability in Adversarial Training based Feature Selection?Yue Liu, Yun Li. 1071-1076 [doi]
• Deep Stable Representation Learning on Electronic Health RecordsYingtao Luo, Zhaocheng Liu, Qiang Liu. 1077-1082 [doi]
• Dengue Fever: From Extreme Climates to Outbreak PredictionSon T. Mai, Ha T. Phi, Abdullahi Abubakar, Peter Kilpatrick, Hung Q. V. Nguyen, Hans Vandierendonck. 1083-1088 [doi]
• Homology-Separating Triangulated Euler Characteristic CurveNicholas O. Malott, Robert R. Lewis, Philip A. Wilsey. 1089-1094 [doi]
• Improving Graph Representation Learning with Distribution PreservingChengsheng Mao, Yuan Luo 0001. 1095-1100 [doi]
• Augmenting Knowledge Transfer across GraphsYuzhen Mao, Jianhui Sun, Dawei Zhou. 1101-1106 [doi]
• Fairness-Aware Graph Sampling for Network AnalysisFarzan Masrour, Francisco Santos, Pang-Ning Tan, Abdol-Hossein Esfahanian. 1107-1112 [doi]
• MentalNet: Heterogeneous Graph Representation for Early Depression DetectionIvan Mihov, Haiquan Chen, Xiao Qin 0001, Wei-Shinn Ku, Da Yan 0001, Yuhong Liu. 1113-1118 [doi]
• Deep Clustering With Consensus RepresentationsLukas Miklautz, Martin Teuffenbach, Pascal Weber, Rona Perjuci, Walid Durani, Christian Böhm, Claudia Plant. 1119-1124 [doi]
• Bayesian Deep Structured Semantic Model for Sub-Linear-Time Information RetrievalYuji Mo, Stephen D. Scott 0001. 1125-1130 [doi]
• Adversarial Variational Modality Reconstruction and Regularization for Zero-Day Malware Variants Similarity DetectionChristopher Molloy, Jeremy Banks, Steven H. H. Ding, Philippe Charland, Andrew Walenstein, Litao Li. 1131-1136 [doi]
• Multi-view POI-level Cellular Trajectory Reconstruction for Digital Contact Tracing of Infectious DiseasesDongmin Park, Junhyeok Kang, Hwanjun Song, Susik Yoon, Jae-Gil Lee 0001. 1137-1142 [doi]
• Serialized Interacting Mixed Membership Stochastic Block ModelGaël Poux-Médard, Julien Velcin, Sabine Loudcher. 1143-1148 [doi]
• The Impact of Batch Learning in Stochastic Linear BanditsDanil Provodin, Pratik Gajane, Mykola Pechenizkiy, Maurits Kaptein. 1149-1154 [doi]
• Estimating the Pruned Search Space Size of Subgroup DiscoveryLennart Purucker, Felix I. Stamm, Florian Lemmerich, Joeran Beel. 1155-1160 [doi]
• Detecting Irregular Network Activity with Adversarial Learning and Expert FeedbackGopikrishna Rathinavel, Nikhil Muralidhar, Timothy O'Shea, Naren Ramakrishnan. 1161-1166 [doi]
• Causal Effect Prediction with Flow-based InferenceShaogang Ren, Dingcheng Li, Ping Li. 1167-1172 [doi]
• Center-Based iPSC Colony Counting with Multi-Task LearningMirza Tanzim Sami, Da Yan 0001, Bhadhan Roy Joy, Jalal Khalil, Ricardo Cevallos, Md. Emon Hossain, Kejin Hu, Yang Zhou 0001. 1173-1178 [doi]
• Matrix Profile XXVI: Mplots: Scaling Time Series Similarity Matrices to Massive DataMaryam Shahcheraghi, Ryan Mercer, João Manuel De Almeida Rodrigues, Audrey Der, Hugo Filipe Silveira Gamboa, Zachary Zimmerman, Eamonn J. Keogh. 1179-1184 [doi]
• MRM2: Multi-Relationship Modeling Module for Multivariate Time Series ClassificationPengxiang Shi, Xuan Dang, Wenwen Ye, Zhipeng Li, Zheng Qin 0003. 1185-1190 [doi]
• Change Detection with Probabilistic Models on Persistence DiagramsKohei Ueda, Yuichi Ike, Kenji Yamanishi. 1191-1196 [doi]
• Personalized Federated Learning via Heterogeneous Modular NetworksTianchun Wang, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang. 1197-1202 [doi]
• Heterogeneous Information Enhanced Prerequisite Learning in Massive Open Online CoursesTianqi Wang, Fenglong Ma, Yaqing Wang, Jing Gao. 1203-1208 [doi]
• Imbalanced Adversarial Training with ReweightingWentao Wang 0006, Han Xu, Xiaorui Liu, Yaxin Li 0001, Bhavani Thuraisingham, Jiliang Tang. 1209-1214 [doi]
• Making Reconstruction-based Method Great Again for Video Anomaly DetectionYizhou Wang 0006, Can Qin, Yue Bai, Yi Xu, Xu Ma, Yun Fu 0001. 1215-1220 [doi]
• A Generic Graph Sparsification Framework using Deep Reinforcement LearningRyan Wickman, Xiaofei Zhang, Weizi Li. 1221-1226 [doi]
• Towards High-Order Complementary Recommendation via Logical Reasoning NetworkLongfeng Wu, Yao Zhou, Dawei Zhou. 1227-1232 [doi]
• Cost-Effective Transfer Learning for Data StreamsOcean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe. 1233-1238 [doi]
• Link Partitioning on Simplicial Complexes Using Higher-Order LaplaciansXinyi Wu, Arnab Sarker, Ali Jadbabaie. 1239-1244 [doi]
• Communication-Efficient Adam-Type Algorithms for Distributed Data MiningWenhan Xian, Feihu Huang, Heng Huang. 1245-1250 [doi]
• DeepiForest: A Deep Anomaly Detection Framework with Hashing Based Isolation ForestHaolong Xiang, Hongsheng Hu, Xuyun Zhang. 1251-1256 [doi]
• Spatiotemporal Contextual Consistency Network for Precipitation NowcastingXinyu Xiao, Qizhao Jin, Gaofeng Meng, Shiming Xiang, Chunhong Pan. 1257-1262 [doi]
• HP-GMN: Graph Memory Networks for Heterophilous GraphsJunjie Xu, Enyan Dai, Xiang Zhang, Suhang Wang. 1263-1268 [doi]
• A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer LearningKe Xu, Ziliang Wang, Wei Zheng, Yuhao Ma, Chenglin Wang, Nengxue Jiang, Cai Cao. 1269-1274 [doi]
• Uncertainty Propagation in Node ClassificationZhao Xu 0001, Carolin Lawrence, Ammar Shaker, Raman Siarheyeu. 1275-1280 [doi]
• A Convex Formulation for Graph Convolutional Training: Two Layer CaseNaganand Yadati. 1281-1286 [doi]
• Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural NetworksYujun Yan, Milad Hashemi, Kevin Swersky, Yaoqing Yang, Danai Koutra. 1287-1292 [doi]
• Deep Spatial Domain GeneralizationDazhou Yu, Guangji Bai, Yun Li, Liang Zhao. 1293-1298 [doi]
• Robust Unsupervised Domain Adaptation from A Corrupted SourceShuyang Yu, Zhuangdi Zhu, Boyang Liu, Anil K. Jain 0001, Jiayu Zhou. 1299-1304 [doi]
• Higher-Order Masked Graph Neural Networks for Traffic Flow PredictionKaixin Yuan, Jing Liu, Jian Lou. 1305-1310 [doi]
• Robust Time Series Chain Discovery with Incremental Nearest NeighborsLi Zhang 0074, Yan Zhu, Yifeng Gao, Jessica Lin 0001. 1311-1316 [doi]
• Toward Unified Data and Algorithm Fairness via Adversarial Data Augmentation and Adaptive Model Fine-tuningYanfu Zhang, Runxue Bao, Jian Pei, Heng Huang. 1317-1322 [doi]
• Predicting Protein-Ligand Binding Affinity via Joint Global-Local Interaction ModelingYang Zhang, Gengmo Zhou, Zhewei Wei, Hongteng Xu. 1323-1328 [doi]
• Active Heterogeneous Graph Neural Networks with Per-step Meta-Q-LearningYuheng Zhang, Yinglong Xia, Yan Zhu, Yuejie Chi, Lei Ying, Hanghang Tong. 1329-1334 [doi]
• Sparsified Subgraph Memory for Continual Graph Representation LearningXikun Zhang 0002, Dongjin Song, Dacheng Tao. 1335-1340 [doi]
• MSDN: A Multi-Subspace Deviation Net for Anomaly DetectionSinong Zhao, Zhaoyang Yu, Trent G. Marbach, Gang Wang 0001, Xiaoguang Liu 0001. 1341-1346 [doi]
• Knowledge-Guided Semantics Adjustment for Improved Few-Shot ClassificationGuangtao Zheng, Aidong Zhang. 1347-1352 [doi]
• Jaccard Median for Ego-network SegmentationHaodi Zhong, Grigorios Loukides, Alessio Conte, Solon P. Pissis. 1353-1358 [doi]