Table of Contents

• Local Differential Privacy in Graph Neural Networks: a Reconstruction ApproachKaruna Bhaila, Wen Huang, Yongkai Wu, Xintao Wu. 1-9 [doi]
• Genius: Subteam Replacement with Clustering-based Graph Neural NetworksChuxuan Hu, Qinghai Zhou, Hanghang Tong. 10-18 [doi]
• Laplacian Score Benefit Adaptive Filter Selection for Graph Neural NetworksYewen Wang, Shichang Zhang, John (Junghoo) Cho, Yizhou Sun. 19-27 [doi]
• Self-Similar Graph Neural Network for Hierarchical Graph LearningZheng Zhang 0047, Liang Zhao 0002. 28-36 [doi]
• PUPAE: Intuitive and Actionable Explanations for Time Series AnomaliesAudrey Der, Chin-Chia Michael Yeh, Yan Zheng 0001, Junpeng Wang 0001, Zhongfang Zhuang, Liang Wang 0047, Wei Zhang 0189, Eamonn J. Keogh. 37-45 [doi]
• An Exemplars-Based Approach for Explainable Clustering: Complexity and Efficient Approximation AlgorithmsIan Davidson, Michael J. Livanos, Antoine Gourru, Peter B. Walker, Julien Velcin, S. S. Ravi. 46-54 [doi]
• MISS: Multiclass Interpretable Scoring SystemsMichal K. Grzeszczyk, Tomasz Trzcinski, Arkadiusz Sitek. 55-63 [doi]
• XGExplainer: Robust Evaluation-based Explanation for Graph Neural NetworksRyoji Kubo, Djellel Eddine Difallah. 64-72 [doi]
• STES: A Spatiotemporal Explanation Supervision FrameworkDazhou Yu, Binbin Chen, Yun Li, Suman Dhakal, Yifei Zhang, Zhenke Liu, Minxing Zhang, Jie Zhang, Liang Zhao 0002. 73-81 [doi]
• CoLafier: Collaborative Noisy Label Purifier With Local Intrinsic Dimensionality GuidanceDongyu Zhang, Ruofan Hu, Elke A. Rundensteiner. 82-90 [doi]
• Differences Between Hard and Noisy-labeled Samples: An Empirical StudyMahsa Forouzesh, Patrick Thiran. 91-99 [doi]
• Feature-Engineered Random ForestsSaket Sathe 0001, Charu Aggarwal 0001, Horst Samulowitz, Deepak S. Turaga. 100-108 [doi]
• Multi-polytope Machine for ClassificationDzung T. Phan, Lam M. Nguyen, Jayant Kalagnanam, Chandra Reddy. 109-117 [doi]
• YOLO-OCR: End-to-end Compound Figure Separation and Label Recognition of Images in Scientific PublicationsShuo Meng, Xinshuo Liang, Shuai Zhang, Leqi Lei, Hanbai Wu, Saira Iqbal, Jinlian Hu. 118-126 [doi]
• Tensorized Hypergraph Neural NetworksMaolin Wang, Yaoming Zhen, Yu Pan 0005, Yao Zhao, Chenyi Zhuang, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao 0001. 127-135 [doi]
• Training Sparse Graph Neural Networks via Pruning and SproutingXueqi Ma, Xingjun Ma, Sarah M. Erfani, James Bailey 0001. 136-144 [doi]
• Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet ExtractionKun Peng, Lei Jiang 0003, Hao Peng 0001, Rui Liu, Zhengtao Yu, Jiaqian Ren, Zhifeng Hao, Philip S. Yu. 145-153 [doi]
• Non-Euclidean Spatial Graph Neural NetworkZheng Zhang 0047, Sirui Li, Jingcheng Zhou, Junxiang Wang, Abhinav Angirekula, Allen Zhang 0003, Liang Zhao 0002. 154-162 [doi]
• EsaCL: An Efficient Continual Learning AlgorithmWeijieying Ren, Vasant G. Honavar. 163-171 [doi]
• On the number of iterations of the DBA algorithmFrederik Brüning, Anne Driemel, Alperen Ergür, Heiko Röglin. 172-180 [doi]
• Robust Sparse Online Learning for Data Streams with Streaming FeaturesZhong Chen 0003, Yi He 0007, Di Wu 0056, Huixin Zhan, Victor S. Sheng, Kun Zhang 0012. 181-189 [doi]
• Utility-Oriented String MiningGiulia Bernardini 0001, Huiping Chen, Alessio Conte, Roberto Grossi, Veronica Guerrini, Grigorios Loukides, Nadia Pisanti, Solon P. Pissis. 190-198 [doi]
• Early Multiple Temporal Patterns Based Event Prediction in Heterogeneous Multivariate Temporal DataNevo Itzhak, Szymon Jaroszewicz, Robert Moskovitch. 199-207 [doi]
• Semi-Supervised Clustering via Structural Entropy with Different ConstraintsGuangjie Zeng, Hao Peng 0001, Angsheng Li, Zhiwei Liu, Runze Yang, Chunyang Liu, Lifang He 0001. 208-216 [doi]
• Towards Tuning-Free Minimum-Volume Nonnegative Matrix FactorizationDuc-Toan Nguyen, Eric C. Chi. 217-225 [doi]
• Decentralized Stochastic Compositional Gradient Descent for AUPRC MaximizationHongchang Gao, Yubin Duan, Yihan Zhang, Jie Wu 0001. 226-234 [doi]
• On Robust Wasserstein Barycenter: The Model and AlgorithmXu Wang, Jiawei Huang, Qingyuan Yang, Jinpeng Zhang. 235-243 [doi]
• Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided SolutionWang Lu, Jindong Wang 0001, Yidong Wang, Xing Xie 0001. 244-252 [doi]
• Helper Recommendation with seniority control in Online Health CommunityJunruo Gao, Chen Ling, Carl Yang 0001, Liang Zhao 0002. 253-261 [doi]
• Active Learning for Graphs with Noisy StructuresHongliang Chi, Cong Qi, Suhang Wang, Yao Ma 0001. 262-270 [doi]
• Graph Summarization for Preserving Spectral CharacteristicsHouquan Zhou 0002, Shenghua Liu, Huawei Shen, Xueqi Cheng. 271-279 [doi]
• 2ABM: Heterogeneous Agent-based Model on Hypergraphs to Capture Group InteractionsVivek Anand, Jiaming Cui, Jack Heavey, Anil Vullikanti, B. Aditya Prakash. 280-288 [doi]
• Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social NetworksZiqiang Cui, Xing Tang 0007, Yang Qiao, Bowei He, Liang Chen, Xiuqiang He 0001, Chen Ma 0001. 289-297 [doi]
• EBV: Electronic Bee-Veterinarian for Principled Mining and Forecasting of Honeybee Time SeriesShamima Hossain, Christos Faloutsos, Boris Baer, Hyoseung Kim, Vassilis J. Tsotras. 298-306 [doi]
• Message Propagation Through Time: An Algorithm for Sequence Dependency Retention in Time Series ModelingShaoming Xu, Ankush Khandelwal, Arvind Renganathan, Vipin Kumar 0001. 307-315 [doi]
• Pattern-based Time Series Semantic Segmentation with Gradual State TransitionsLouis Carpentier, Len Feremans, Wannes Meert, Mathias Verbeke. 316-324 [doi]
• Time-Transformer: Integrating Local and Global Features for Better Time Series GenerationYuansan Liu, Sudanthi N. R. Wijewickrema, Ang Li, Christofer Bester, Stephen J. O'Leary, James Bailey 0001. 325-333 [doi]
• Towards Entity-Aware Conditional Variational Inference for Heterogeneous Time-Series Prediction: An application to HydrologyRahul Ghosh, Arvind Renganathan, Wallace McAliley, Michael S. Steinbach, Christopher J. Duffy, Vipin Kumar 0001. 334-342 [doi]
• 3D Molecular Geometry Analysis with 2D GraphsZhao Xu 0005, Yaochen Xie, Youzhi Luo, Xuan Zhang, Xinyi Xu, Meng Liu, Kaleb Dickerson, Cheng Deng, Maho Nakata, Shuiwang Ji. 343-351 [doi]
• A Novel Hybrid Graph Learning Method for Inbound Parcel Volume Forecasting in Logistics SystemLisha Ye, Jianfeng Zhou, Zhe Yin, Kunpeng Han, Haoyuan Hu, Dongjin Song. 352-360 [doi]
• Automated Fusion of Multimodal Electronic Health Records for Better Medical PredictionsSuhan Cui, Jiaqi Wang 0002, Yuan Zhong, Han Liu 0008, Ting Wang 0006, Fenglong Ma. 361-369 [doi]
• Dual-stage Flows-based Generative Modeling for Traceable Urban PlanningXuanming Hu, Wei Fan 0010, Dongjie Wang, Pengyang Wang, Yong Li, Yanjie Fu. 370-378 [doi]
• Graph-based Student Knowledge Profile for Online Intelligent EducationJinze Wu, Haotian Zhang, Zhenya Huang, Liang Ding, Qi Liu 0003, Jing Sha, Enhong Chen, Shijin Wang 0001. 379-387 [doi]
• Data Silences: How to Unsilence the Uncertainties in Data ScienceMichael Muller. 388-391 [doi]
• Foundation Models for Spatiotemporal Tasks in the Physical WorldZhe Jiang 0001, Yu Wang 0044, Zelin Xu. 392-395 [doi]
• Blue Sky: Multilingual, Multimodal Domain Independent Deception DetectionDainis Boumber, Rakesh M. Verma, Fatima Zahra Qachfar. 396-399 [doi]
• Label Distribution Learning-Enhanced Dual-KNN for Text ClassificationBo Yuan, Yulin Chen, Zhen Tan, Jinyan Wang, Huan Liu 0001, Yin Zhang. 400-408 [doi]
• Refining Pre-trained Language Models for Domain Adaptation with Entity-Aware Discriminative and Contrastive LearningJian Yang, Xinyu Hu, Yulong Shen, Gang Xiao. 409-417 [doi]
• An Image Dataset for Benchmarking Recommender Systems with Raw PixelsYu Cheng, Yunzhu Pan, Jiaqi Zhang, Yongxin Ni, Aixin Sun, Fajie Yuan. 418-426 [doi]
• Disinformation Detection: An Evolving Challenge in the Age of LLMsBohan Jiang, Zhen Tan, Ayushi Nirmal, Huan Liu 0001. 427-435 [doi]
• User Migration across Multiple Social Media PlatformsUjun Jeong, Ayushi Nirmal, Kritshekhar Jha, Xu Tang, H. Russell Bernard, Huan Liu 0001. 436-444 [doi]
• Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling ApproachPraveen Ravirathinam, Rahul Ghosh, Ankush Khandelwal, Xiaowei Jia, David J. Mulla, Vipin Kumar 0001. 445-453 [doi]
• CAMLO: Cross-Attentive Multi-View Network for Long-Term Origin-Destination Flow PredictionLiang Wang 0001, Hao Fu, Shu Wu, Qiang Liu 0006, Xuelei Tan, Fangsheng Huang, Mengdi Zhang, Wei Wu 0014. 454-462 [doi]
• Test-Time Training for Spatial-Temporal ForecastingChanglu Chen, Yanbin Liu, Ling Chen 0006, Chengqi Zhang. 463-471 [doi]
• Geospatial Topological Relation Extraction from Text with Knowledge AugmentationWei Hu, Bowen Jin, Minhao Jiang, Sizhe Zhou, Zhaonan Wang 0004, Jiawei Han 0001, Shaowen Wang. 472-480 [doi]
• Memory-Efficient Trajectory AttentionMingzhi Hu, Xin Zhang, Yanhua Li, Yiqun Xie, Xiaowei Jia, Xun Zhou, Jun Luo 0007. 481-489 [doi]
• Lattice Convolutional Networks for Learning Ground States of Quantum Many-Body SystemsCong Fu 0003, Xuan Zhang, Huixin Zhang, Hongyi Ling, Shenglong Xu, Shuiwang Ji. 490-498 [doi]
• MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data AugmentationYuan Zhong, Suhan Cui, Jiaqi Wang 0002, Xiaochen Wang, Ziyi Yin 0003, Yaqing Wang, Houping Xiao, Mengdi Huai, Ting Wang 0006, Fenglong Ma. 499-507 [doi]
• Meta-Adaptive Stock Movement Prediction with Two-Stage Representation LearningDonglin Zhan, Yusheng Dai, Yiwei Dong, Jinghai He, Zhenyi Wang, James Anderson 0001. 508-516 [doi]
• Pretraining Molecules with Explicit Substructure InformationYuting Ma, Shuo Yu, Yanming Shen. 517-525 [doi]
• RHINE: A Regime-Switching Model with Nonlinear Representation for Discovering and Forecasting Regimes in Financial MarketsKunpeng Xu 0002, Lifei Chen, Jean-Marc Patenaude, Shengrui Wang. 526-534 [doi]
• FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation LearningHongyu Zhang 0002, Dongyi Zheng, Xu Yang, Jiyuan Feng, Qing Liao 0001. 535-543 [doi]
• Denoising Long- and Short-term Interests for Sequential RecommendationXinyu Zhang, Beibei Li 0001, Beihong Jin. 544-552 [doi]
• CausalCDR: Causal Embedding Learning for Cross-domain RecommendationFengxin Li, Hongyan Liu 0002, Jun He 0008, Xiaoyong Du 0001. 553-561 [doi]
• DimReg: Embedding Dimension Search via Regularization for Recommender SystemsMingjun Zhao, Liyao Jiang, Yakun Yu, Xinmin Wang, Yi Yuan, Zheng Wei, Di Niu. 562-570 [doi]
• DualVAE: Dual Disentangled Variational AutoEncoder for RecommendationZhiqiang Guo, Guohui Li 0001, Jianjun Li, Chaoyang Wang, Si Shi. 571-579 [doi]
• Exploiting Multifaceted Nature of Items and Users for Session-based RecommendationTianqi Sun, Hongrui Guo, Zihan Zhang, Hongzhi Liu 0001, Zhonghai Wu. 580-588 [doi]
• Prescribed Fire Modeling using Knowledge-Guided Machine Learning for Land ManagementSomya Sharma Chatterjee, Kelly Lindsay, Neel Chatterjee, Rohan Patil, Ilkay Altintas De Callafon, Michael S. Steinbach, Daniel Giron, Mai H. Nguyen, Vipin Kumar 0001. 589-597 [doi]
• Spatial-Temporal Augmented Adaptation via Cycle-Consistent Adversarial Network: An Application in Streamflow PredictionNasrin Kalanat, Yiqun Xie, Yanhua Li, Xiaowei Jia. 598-606 [doi]
• Bridging Semantics: Mobility Analytics Framework for Knowledge TransferShreya Ghosh 0002, Prasenjit Mitra. 607-615 [doi]
• Towards Spatially-Lucid AI Classification in Non-Euclidean Space: An Application for MxIF Oncology DataMajid Farhadloo, Arun Sharma, Jayant Gupta, Alexey A. Leontovich, Svetomir N. Markovic, Shashi Shekhar. 616-624 [doi]
• Unified Modeling and Clustering of Mobility Trajectories with Spatiotemporal Point ProcessesHaowen Lin, Yao-Yi Chiang, Li Xiong 0001, Cyrus Shahabi. 625-633 [doi]
• Ada-VAD: Domain Adaptable Video Anomaly DetectionDongliang Guo 0002, Yun Fu 0001, Sheng Li 0001. 634-642 [doi]
• COMBOOD: A Semiparametric Approach for Detecting Out-of-distribution Data for Image ClassificationMagesh Rajasekaran, Md Saiful Islam Sajol, Frej Berglind, Supratik Mukhopadhyay, Kamalika Das. 643-651 [doi]
• Dimensionality-Aware Outlier DetectionAlastair Anderberg, James Bailey 0001, Ricardo J. G. B. Campello, Michael E. Houle, Henrique O. Marques, Milos Radovanovic, Arthur Zimek. 652-660 [doi]
• MultiNetAD: Multiplex Network-Based Anomaly Access Detection Featuring Semantic HierarchiesZiqi Yuan, Qingyun Sun, Haoyi Zhou, Zukun Zhu, Jianxin Li 0002. 661-669 [doi]
• Semi-Supervised Isolation Forest for Anomaly DetectionLuca Stradiotti, Lorenzo Perini, Jesse Davis. 670-678 [doi]
• Dual-disentangled Deep Multiple ClusteringJiawei Yao, Juhua Hu. 679-687 [doi]
• DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token FusionZhenzhen Chu, Jiayu Chen, Cen Chen, Chengyu Wang 0001, Ziheng Wu, Jun Huang 0007, Weining Qian. 688-696 [doi]
• Identification and Uses of Deep Learning Backbones via Pattern MiningMichael J. Livanos, Ian Davidson. 697-705 [doi]
• GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative modelZhiyu Zhu, Huaming Chen, Xinyi Wang, Jiayu Zhang, Zhibo Jin, Kim-Kwang Raymond Choo, Jun Shen 0001, Dong Yuan. 706-714 [doi]
• Knowledge Guided Machine Learning for Extracting, Preserving, and Adapting Physics-aware FeaturesErhu He, Yiqun Xie, Licheng Liu, Zhenong Jin, Dajun Zhang, Xiaowei Jia. 715-723 [doi]
• Light POI-Guided Conversational Recommender System based on Adaptive SpaceMeng Yuan, Fuwei Zhang, Yiqi Tong, Yuxin Ying, Fuzhen Zhuang, Deqing Wang, Baoxing Huai, Yi Zhang, Jia Su. 724-733 [doi]
• Multi-Interest Network with Simple Diffusion for Multi-Behavior Sequential RecommendationQingfeng Li, Huifang Ma, Wangyu Jin, Yugang Ji, Zhixin Li 0001. 734-742 [doi]
• Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial TrainingJuntao Tan, Shelby Heinecke, Zhiwei Liu, Yongjun Chen, Yongfeng Zhang, Huan Wang. 743-751 [doi]
• Variational Invariant Representation Learning for Multimodal RecommendationWei Yang, Haoran Zhang, Li Zhang. 752-760 [doi]
• Vietoris-Rips Complex: A New Direction for Cross-Domain Cold-Start RecommendationAjay Krishna Vajjala, Dipak Falgun Meher, Shrunal Pothagoni, Ziwei Zhu, David S. Rosenblum. 761-769 [doi]
• Stable Synthetic Control with Anomaly Detection for Causal InferenceQiang Li, Yiqiao Sun, Linsey Pang, Liang Sun, Qingsong Wen. 770-778 [doi]
• CaMU: Disentangling Causal Effects in Deep Model UnlearningShaofei Shen 0001, Chenhao Zhang 0004, Alina Bialkowski, Weitong Chen 0001, Miao Xu. 779-787 [doi]
• Robust Estimation of Causal Heteroscedastic Noise ModelsQuang Duy Tran, Bao Duong, Phuoc Nguyen, Thin Nguyen. 788-796 [doi]
• Analysis of Causal and Non-Causal Convolution Networks for Time Series ClassificationUday Singh Saini, Zhongfang Zhuang, Chin-Chia Michael Yeh, Wei Zhang 0189, Evangelos E. Papalexakis. 797-805 [doi]
• Deep Efficient Private Neighbor Generation for Subgraph Federated LearningKe Zhang, Lichao Sun 0001, Bolin Ding, Siu-Ming Yiu, Carl Yang 0001. 806-814 [doi]
• Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated LearningReda Khoufache, Mustapha Lebbah, Hanene Azzag, Étienne Goffinet, Djamel Bouchaffra. 815-823 [doi]
• HyperFLoRA: Federated Learning with Instantaneous PersonalizationQikai Lu, Di Niu, Mohammadamin Samadi Khoshkho, Baochun Li. 824-832 [doi]
• AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous DevicesJi Liu 0003, Tianshi Che, Yang Zhou 0001, Ruoming Jin, Huaiyu Dai, Dejing Dou, Patrick Valduriez. 833-841 [doi]
• Personalized Federated Learning with Contextual Modulation and Meta-LearningAnna Vettoruzzo, Mohamed-Rafik Bouguelia, Thorsteinn S. Rögnvaldsson. 842-850 [doi]
• UPFL: Unsupervised Personalized Federated Learning towards New ClientsTiandi Ye, Cen Chen, Yinggui Wang, Xiang Li 0067, Ming Gao 0001. 851-859 [doi]
• HADT: Human-AI Diagnostic Team via Hierarchical Reinforcement LearningXuehan Zhao, Jiaqi Liu, Zhiwen Yu 0001, Bin Guo 0001. 860-868 [doi]
• Spatial-Aware Deep Reinforcement Learning for the Traveling Officer ProblemNiklas Strauß, Matthias Schubert. 869-877 [doi]
• Feature Interaction Aware Automated Data Representation TransformationEhtesamul Azim, Dongjie Wang, Kunpeng Liu 0001, Wei Zhang 0076, Yanjie Fu. 878-886 [doi]
• Neural Locality Sensitive Hashing for Entity BlockingRunhui Wang, Luyang Kong, Yefan Tao, Andrew Borthwick, Davor Golac, Henrik Johnson, Shadie Hijazi, Dong Deng 0001, Yongfeng Zhang. 887-895 [doi]
• Word Embedding with Neural Probabilistic PriorShaogang Ren, Dingcheng Li, Ping Li 0001. 896-904 [doi]