Table of Contents

• CADENCE: Community-Aware Detection of Dynamic Network StatesMaxwell McNeil, Carolina Mattsson, Frank W. Takes, Petko Bogdanov. 1-9 [doi]
• Influence without Authority: Maximizing Information Coverage in HypergraphsPeiyan Li, Honglian Wang, Kai Li, Christian Böhm. 10-18 [doi]
• A Temporal Graphlet Kernel For Classifying Dissemination in Evolving NetworksLutz Oettershagen, Nils M. Kriege, Claude Jordan, Petra Mutzel. 19-27 [doi]
• Causal Discovery by Graph Attention Reinforcement LearningDezhi Yang, Guoxian Yu, Jun Wang 0035, Zhongmin Yan, Maozu Guo 0001. 28-36 [doi]
• Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Weighted Negative SamplesJianxiang Yu, Xiang Li. 37-45 [doi]
• UFNRec: Utilizing False Negative Samples for Sequential RecommendationXiaoyang Liu, Chong Liu, Pinzheng Wang, Rongqin Zheng, Lixin Zhang, Leyu Lin, Zhijun Chen, Liangliang Fu. 46-54 [doi]
• Adaptive Label Smoothing To Regularize Large-Scale Graph TrainingKaixiong Zhou, Soo Hyun Choi, Zirui Liu, Ninghao Liu, Fan Yang 0023, Rui Chen 0012, Li Li 0035, Xia Hu. 55-63 [doi]
• Pluggable Deep Thompson Sampling with Applications to RecommendationLu Wang, Yuhai Song, Zhe Wang, Haoxiang Wang, Yu Li, Weiwei Zhou, Haoming Dang, Mona Shao, Xiwei Zhao, Zhangang Lin, Jinghe Hu, JingPing Shao. 64-72 [doi]
• Embedding Transfer with Enhanced Correlation Modeling for Cross-Domain RecommendationShilei Cao 0001, Yujie Lin, Xianli Zhang, Yufu Chen, Zhen Zhu, Yuxin Chen, Buyue Qian, Feng Wang, Zang Li. 73-81 [doi]
• Harvester: Principled Factorization-based Temporal Tensor Granularity EstimationRavdeep S. Pasricha, Uday Singh Saini, Nicholas D. Sidiropoulos, Fei Fang, Kevin Chan 0001, Evangelos E. Papalexakis. 82-90 [doi]
• Max-Min Diversification with Fairness Constraints: Exact and Approximation AlgorithmsYanhao Wang 0001, Michael Mathioudakis, Jia Li, Francesco Fabbri. 91-99 [doi]
• Beyond The Evidence Lower Bound: Dual Variational Graph Auto-Encoders For Node ClusteringNairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini. 100-108 [doi]
• Extension of the Dip-test Repertoire - Efficient and Differentiable p-value Calculation for ClusteringLena G. M. Bauer, Collin Leiber, Christian Böhm, Claudia Plant. 109-117 [doi]
• Reinforced EM Algorithm for Clustering with Gaussian Mixture ModelsJoshua Tobin, Chin Pang Ho, Mimi Zhang. 118-126 [doi]
• A Lagrangian-based approach to learn distance metrics for clustering with minimal data transformationRodrigo Randel, Daniel Aloise, Alain Hertz. 127-135 [doi]
• Heterogeneous Graph Contrastive Multi-view LearningZehong Wang, Qi Li, Donghua Yu, XiaoLong Han, Xiao-Zhi Gao 0001, Shigen Shen. 136-144 [doi]
• Multimodal Graph Learning for Cross-Modal RetrievalJingyou Xie, Zishuo Zhao, Zhenzhou Lin, Ying Shen 0001. 145-153 [doi]
• RELIANT: Fair Knowledge Distillation for Graph Neural NetworksYushun Dong, Binchi Zhang, Yiling Yuan, Na Zou, Qi Wang, Jundong Li. 154-162 [doi]
• Adversarial Hard Negative Generation for Complementary Graph Contrastive LearningSenzhang Wang, Hao Yan, Jinlong Du, Jun Yin, Junxing Zhu, Chaozhuo Li, Jianxin Wang. 163-171 [doi]
• It's PageRank All The Way Down: Simplifying Deep Graph NetworksDominic Jack, Sarah M. Erfani, Jeffrey Chan, Sutharshan Rajasegarar, Christopher Leckie. 172-180 [doi]
• Estimating Latent Population Flows from Aggregated Data via Inversing Multi-Marginal Optimal TransportSikun Yang, Hongyuan Zha. 181-189 [doi]
• Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal DynamicsZhengyang Zhou, Kuo Yang, Wei Sun, Binwu Wang, Min Zhou, Yunan Zong, Yang Wang 0015. 190-198 [doi]
• StAGN: Spatial-Temporal Adaptive Graph Network via Contrastive Learning for Sleep Stage ClassificationJunyang Chen, Yidan Dai, Xianhui Chen, Yingshan Shen, Yan Luximon, Hailiang Wang, Yuxin He, Wenjun Ma, Xiaomao Fan. 199-207 [doi]
• STM-GAIL: Spatial-Temporal Meta-GAIL for Learning Diverse Human Driving StrategiesYingxue Zhang 0002, Yanhua Li, Xun Zhou, Ziming Zhang, Jun Luo 0007. 208-216 [doi]
• Physics-Guided Meta-Learning Method in Baseflow Prediction over Large RegionsShengyu Chen, Yiqun Xie, Xiang Li, Xu Liang, Xiaowei Jia. 217-225 [doi]
• ML4C: Seeing Causality Through Latent VicinityHaoyue Dai, Rui Ding 0001, Yuanyuan Jiang, Shi Han, Dongmei Zhang 0001. 226-234 [doi]
• Uncertainty in Selective Bagging: A Dynamic Bi-objective Optimization ModelMansoureh Maadi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin. 235-243 [doi]
• Saliency-Augmented Memory Completion for Continual LearningGuangji Bai, Chen Ling, Yuyang Gao, Liang Zhao 0002. 244-252 [doi]
• An Interpretable Measure of Dataset Complexity for Imbalanced Classification ProblemsJonatan Møller Nuutinen Gøttcke, Colin Bellinger, Paula Branco, Arthur Zimek. 253-261 [doi]
• CESED: Exploiting Hyperspherical Predefined Evenly-Distributed Class Centroids for OOD DetectionShuai Feng, Wenyu Jiang, Mingcai Chen, Yuntao Du 0001, Hao Cheng, Yuxin Ge, Chongjun Wang. 262-270 [doi]
• AlignGraph: A Group of Generative Models for GraphsKimia Shayestehfard, Dana H. Brooks, Stratis Ioannidis. 271-279 [doi]
• An Index For Temporal Closeness Computation in Evolving GraphsLutz Oettershagen, Petra Mutzel. 280-288 [doi]
• st-Paths in Large GraphsGiulia Punzi, Alessio Conte, Roberto Grossi, Andrea Marino 0001. 289-297 [doi]
• Representation Learning on Dynamic Network of NetworksSi Zhang, Yinglong Xia, Yan Zhu, Hanghang Tong. 298-306 [doi]
• Heavy Nodes in a Small Neighborhood: Algorithms and ApplicationsHuiping Chen, Grigorios Loukides, Robert Gwadera, Solon P. Pissis. 307-315 [doi]
• A Hidden Markov Forest Model for Terrain-Aware Flood Inundation Mapping from Earth ImageryZhe Jiang 0001, Yupu Zhang, Saugat Adhikari, Da Yan 0001, Arpan Man Sainju, Xiaowei Jia, Yiqun Xie. 316-324 [doi]
• Time-delayed Multivariate Time Series PredictionsHao Niu, Guillaume Habault, Roberto Legaspi, Chuizheng Meng, Defu Cao, Shinya Wada, Chihiro Ono, Yan Liu 0002. 325-333 [doi]
• A Two-View EEG Representation for Brain Cognition by Composite Temporal-Spatial Contrastive LearningZheng Chen 0012, Lingwei Zhu, Haohui Jia, Takashi Matsubara 0001. 334-342 [doi]
• Hierarchical Reinforced Urban Planning: Jointly Steering Region and Block ConfigurationsPengfei Wang 0008, Daniel Wang, Kunpeng Liu 0001, Dongjie Wang, Yuanchun Zhou, Leilei Sun, Yanjie Fu. 343-351 [doi]
• Why Are We Waiting? Discovering Interpretable Models for Predicting Sojourn and Waiting TimesBoris Wiegand, Dietrich Klakow, Jilles Vreeken. 352-360 [doi]
• Physics-guided Graph Diffusion Network for Combining Heterogeneous Simulated Data: An Application in Predicting Stream Water TemperatureXiaowei Jia, Shengyu Chen, Can Zheng, Yiqun Xie, Zhe Jiang 0001, Nasrin Kalanat. 361-369 [doi]
• CISum: Learning Cross-modality Interaction to Enhance Multimodal Semantic Coverage for Multimodal SummarizationLitian Zhang, Xiaoming Zhang 0001, Ziming Guo, ZhiPeng Liu. 370-378 [doi]
• ProGReST: Prototypical Graph Regression Soft Trees for Molecular Property PredictionDawid Rymarczyk, Daniel Dobrowolski, Tomasz Danel. 379-387 [doi]
• A Physics-guided NN-based Approach for Tropical Cyclone Intensity EstimationZiheng Zhou, Ying Zhao, Yiyu Qing, Wenming Jiang, Yihan Wu, Wenguang Chen. 388-396 [doi]
• Anomaly Detection Networks and Fuzzy Control Modules for Energy Grid Management with Q-Learning-Based Decision MakingJia-Hao Syu, Jerry Chun-Wei Lin, Philip S. Yu. 397-405 [doi]
• STABLE: Identifying and Mitigating Instability in Embeddings of the Degenerate CoreDavid Liu, Tina Eliassi-Rad. 406-414 [doi]
• Node ranking in labeled networksChamalee Wickrama Arachchi, Nikolaj Tatti. 415-423 [doi]
• Optimal Intervention on Weighted Networks via Edge CentralityDongyue Li, Tina Eliassi-Rad, Hongyang R. Zhang. 424-432 [doi]
• GIST: Graph Inference for Structured Time SeriesBoya Ma, Maxwell McNeil, Petko Bogdanov. 433-441 [doi]
• DyFormer : A Scalable Dynamic Graph Transformer with Provable Benefits on Generalization AbilityWeilin Cong, Yanhong Wu, Yuandong Tian, Mengting Gu, Yinglong Xia, Chun-cheng Jason Chen, Mehrdad Mahdavi. 442-450 [doi]
• Exact and Heuristic Approaches to Speeding Up the MSM Time Series Distance ComputationJana Holznigenkemper, Christian Komusiewicz, Bernhard Seeger. 451-459 [doi]
• Debiased Imitation Learning for Modulated Temporal Point ProcessesZhuoqun Li, Zihan Zhou 0003, Mingxuan Sun, Hongteng Xu. 460-468 [doi]
• Attention-Based Multi-modal Missing Value Imputation for Time Series Data with High Missing RateKhandakar Tanvir Ahmed, Sudipto Baul, Yanjie Fu, Wei Zhang. 469-477 [doi]
• Probabilistic Decomposition Transformer for Time Series ForecastingJunlong Tong, Liping Xie, Kanjian Zhang. 478-486 [doi]
• Spatiotemporal Classification with limited labels using Constrained Clustering for large datasetsPraveen Ravirathinam, Rahul Ghosh, Ke Wang, Keyang Xuan, Ankush Khandelwal, Hilary Dugan, Paul C. Hanson, Vipin Kumar 0001. 487-495 [doi]
• Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoTJiaqi Wang, Shenglai Zeng, Zewei Long, Yaqing Wang, Houping Xiao, Fenglong Ma. 496-504 [doi]
• A Multi-scale Interaction Motion Network for Action Recognition Based on Capsule NetworkXiangping Zheng, Xun Liang 0001, Bo Wu, Jun Wang, Yuhui Guo, Xuan Zhang 0009, Yuefeng Ma. 505-513 [doi]
• MoVAE: A Variational AutoEncoder for Molecular Graph GenerationZerun Lin, Yuhan Zhang, Lixin Duan, Le Ou-Yang, Peilin Zhao. 514-522 [doi]
• Extrinsic-Intrinsic Representation Learning Framework for Drug DiscoveryTian Xia 0006, Sarp Aykent, Wei-Shinn Ku. 523-531 [doi]
• Penalized Non-Linear Canonical Correlation Analysis for Ordinal Data with Application to the International Classification of Functioning, Disability and HealthJan Gertheiss, Russell T. Shinohara. 532-540 [doi]
• Domain Disentangled Meta-LearningXin Zhang, Yanhua Li, Ziming Zhang, Zhi-Li Zhang. 541-549 [doi]
• BDA: Bandit-based Transferable AutoAugmentShan Lu, Mingjun Zhao, Songling Yuan, Xiaoli Wang, Lei Yang, Di Niu. 550-558 [doi]
• Adaptive Precision Training (AdaPT): A dynamic quantized training approach for DNNsLorenz Kummer, Kevin Sidak, Tabea Reichmann, Wilfried N. Gansterer. 559-567 [doi]
• Robust Learning via Golden Symmetric Loss of (un)Trusted LabelsAmirmasoud Ghiassi, Robert Birke, Lydia Y. Chen. 568-576 [doi]
• Concept Discovery for Fast AdaptationShengyu Feng, Hanghang Tong. 577-585 [doi]
• Multi-Task Learning with Prior InformationMengyuan Zhang 0002, Kai Liu. 586-594 [doi]
• Optimal Smooth Approximation for Quantile Matrix FactorizationPeng Liu 0048, Yi Liu 0062, Rui Zhu 0007, Linglong Kong, Bei Jiang, Di Niu. 595-603 [doi]
• Ranking with submodular functions on the flyGuangyi Zhang 0001, Nikolaj Tatti, Aristides Gionis. 604-612 [doi]
• Learning Causal Structure on Mixed Data with Tree-Structured Functional ModelsTian Qin, Tian-Zuo Wang, Zhi-Hua Zhou. 613-621 [doi]
• MC-SQ: A Highly Accurate Ensemble for Multi-class QuantificationZahra Donyavi, Adriane Serapio, Gustavo Batista. 622-630 [doi]
• Taxonomy-Guided Fine-Grained Entity Set ExpansionJinfeng Xiao, Mohab Elkaref, Nathan Herr, Geeth de Mel, Jiawei Han 0001. 631-639 [doi]
• Balancing Task Coverage and Expert Workload in Team FormationKaran Vombatkere, Evimaria Terzi. 640-648 [doi]
• Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applicationsShaoming Xu, Ankush Khandelwal, Xiang Li, Xiaowei Jia, Licheng Liu, Jared Willard, Rahul Ghosh, Kelly Cutler, Michael S. Steinbach, Christopher J. Duffy, John Nieber, Vipin Kumar 0001. 649-657 [doi]
• A Linkage-based Doubly Imbalanced Graph Learning Framework for Face ClusteringHuafeng Yang, Qijie Shen, Xingjian Chen, Fangyi Zhang, Rong Du. 658-666 [doi]
• NEEDED: Introducing Hierarchical Transformer to Eye Diseases DiagnosisXu Ye, Meng Xiao 0001, Zhiyuan Ning, Weiwei Dai, Wenjuan Cui, Yi Du, Yuanchun Zhou. 667-675 [doi]
• Context-aware Domain Adaptation for Time Series Anomaly DetectionKwei-Herng Lai, Lan Wang, Huiyuan Chen, Kaixiong Zhou, Fei Wang 0062, Hao Yang 0007, Xia Hu. 676-684 [doi]
• †Sadaf Tafazoli, Eamonn J. Keogh. 685-693 [doi]
• Deep Contrastive One-Class Time Series Anomaly DetectionRui Wang, Chongwei Liu, Xudong Mou, Kai Gao, Xiaohui Guo, Pin Liu, Tianyu Wo, Xudong Liu 0001. 694-702 [doi]
• Subgraph Centralization: A Necessary Step for Graph Anomaly DetectionZhong Zhuang, Kai Ming Ting, Guansong Pang, Shuaibin Song. 703-711 [doi]
• Abnormal Event Detection via Hypergraph Contrastive LearningBo Yan 0001, Cheng Yang 0002, Chuan Shi, Jiawei Liu 0006, Xiaochen Wang. 712-720 [doi]
• A General-Purpose Transferable Predictor for Neural Architecture SearchFred X. Han, Keith G. Mills, Fabian Chudak, Parsa Riahi, Mohammad Salameh, Jialin Zhang, Wei Lu 0023, Shangling Jui, Di Niu. 721-729 [doi]
• Estimating Propensity Scores with Deep Adaptive Variable SelectionZhixuan Chu, Mechelle Claridy, José Cordero, Sheng Li 0001, Stephen L. Rathbun. 730-738 [doi]
• Scalable Batch Acquisition for Deep Bayesian Active LearningAleksandr Rubashevskii, Daria Kotova, Maxim Panov. 739-747 [doi]
• Fisher Scoring Method for Neural Networks OptimizationJackson de Faria, Renato Assunção, Fabricio Murai. 748-756 [doi]
• Multi-state Survival Analysis using Pseudo value-based Deep Neural NetworksMd Mahmudur Rahman, Sanjay Purushotham. 757-765 [doi]
• Understanding Influence Maximization via Higher-Order DecompositionZonghan Zhang, Zhiqian Chen. 766-774 [doi]
• Traceable Automatic Feature Transformation via Cascading Actor-Critic AgentsMeng Xiao 0001, Dongjie Wang, Min Wu 0008, Ziyue Qiao, Pengfei Wang 0008, Kunpeng Liu 0001, Yuanchun Zhou, Yanjie Fu. 775-783 [doi]
• Learning to Learn Task Transformations for Improved Few-Shot ClassificationGuangtao Zheng, Qiuling Suo, Mengdi Huai, Aidong Zhang. 784-792 [doi]
• Sign-Regularized Multi-Task LearningGuangji Bai, Johnny Torres, Junxiang Wang, Liang Zhao 0002, Cristina L. Abad, Carmen Vaca. 793-801 [doi]
• Toward Theoretical Guidance for Two Common Questions in Practical Cross-Validation based Hyperparameter SelectionParikshit Ram, Alexander G. Gray, Horst C. Samulowitz, Gregory Bramble. 802-810 [doi]
• Meta-Learning with Motif-based Task Augmentation for Few-Shot Molecular Property PredictionZiqiao Meng, Yaoman Li, Peilin Zhao, Yang Yu 0010, Irwin King. 811-819 [doi]
• A novel reject option applied to sleep stage scoringDries Van der Pias, Wannes Meert, Johan Verbraecken, Jesse Davis. 820-828 [doi]
• Reinforcement Learning Guided Multi-Objective Exam Paper GenerationYuhu Shang, Xuexiong Luo, Lihong Wang, Hao Peng, Xiankun Zhang, Yimeng Ren, Kun Liang 0002. 829-837 [doi]
• Eco-PiNN: A Physics-informed Neural Network for Eco-toll EstimationYan Li 0049, Mingzhou Yang, Matthew Eagon, Majid Farhadloo, Yiqun Xie, William F. Northrop, Shashi Shekhar. 838-846 [doi]
• Probabilistic Inverse Modeling: An Application in HydrologySomya Sharma, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher J. Duffy, Vipin Kumar 0001. 847-855 [doi]
• Fairness-aware Multi-view ClusteringLecheng Zheng, Yada Zhu, Jingrui He. 856-864 [doi]
• Group AdaBoost with Fairness ConstraintZhiyu Xue. 865-873 [doi]
• On Improving Fairness of AI Models with Synthetic Minority Oversampling TechniquesYan Zhou 0001, Murat Kantarcioglu, Chris Clifton. 874-882 [doi]
• TEM: High Utility Metric Differential Privacy on TextRicardo Silva Carvalho, Theodore Vasiloudis, Oluwaseyi Feyisetan, Ke Wang 0001. 883-890 [doi]
• PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time SeriesLi Zhang 0074, Jiahao Ding, Yifeng Gao, Jessica Lin 0001. 891-899 [doi]
• Feature Enhanced Zero-Shot Stance Detection via Contrastive LearningXuechen Zhao, Jiaying Zou, Zhong Zhang, Feng Xie, Bin Zhou 0004, Lei Tian. 900-908 [doi]
• Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data AugmentationXiusi Chen, Yu Zhang 0044, Jinliang Deng, Jyun-Yu Jiang, Wei Wang 0010. 909-917 [doi]
• Coarse-to-Fine Open Information Extraction via Relation Oriented Reading ComprehensionTingxin Li, Rui Meng, Feng Chen, Jianming Wu. 918-926 [doi]
• XDC: Adaptive Cross Domain Short Text ClusteringSaed Rezayi, Handong Zhao, Ronghang Zhu, Sheng Li 0001. 927-935 [doi]
• Hierarchical Neural Topic Model with Embedding Cluster and Neural Variational InferenceNingjing Wang, Deqing Wang, Ting Jiang, Chenguang Du, Chuyu Fang, Fuzhen Zhuang. 936-944 [doi]
• Data-centric AI: Perspectives and ChallengesDaochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang 0023, Xia Hu. 945-948 [doi]
• Statistically-sound Knowledge Discovery from DataMatteo Riondato. 949-952 [doi]
• Data Mining Challenges and Opportunities to Achieve Net Zero Carbon Emissions: Focus on Electrified VehiclesMingzhou Yang, Bharat Jayaprakash, Matthew Eagon, Hyeonjung (Tari) Jung, William F. Northrop, Shashi Shekhar. 953-956 [doi]
• Towards Trustworthy Representation LearningSheng Li 0001. 957-960 [doi]
• Missed Opportunities in Fair AINripsuta Ani Saxena, Wenbin Zhang 0002, Cyrus Shahabi. 961-964 [doi]
• Making a Computational AttorneyDell Zhang, Frank Schilder, Jack G. Conrad, Masoud Makrehchi, David von Rickenbach, Isabelle Moulinier. 965-968 [doi]