Table of Contents

• Self-supervision based Semantic Alignment for Unsupervised Domain AdaptationRonghang Zhu, Sheng Li 0001. 1-9 [doi]
• Meta Adversarial Weight for Unsupervised Domain AdaptationChang Liu 0022, Lichen Wang, Yun Fu 0001. 10-18 [doi]
• Positive Unlabeled Learning with a Sequential Selection BiasWalter Gerych, Thomas Hartvigsen, Luke Buquicchio, Abdulaziz AlAjaji, Kavin Chandrasekaran, Hamid Mansoor, Elke A. Rundensteiner, Emmanuel Agu. 19-27 [doi]
• Continuously Generalized Ordinal Regression for Linear and Deep ModelsFred Lu, Francis Ferraro, Edward Raff. 28-36 [doi]
• Entropy Weight Allocation: Positive-unlabeled Learning via Optimal TransportWen Gu, Teng Zhang 0001, Hai Jin 0001. 37-45 [doi]
• DualCast: Friendship-Preference Co-evolution Forecasting for Attributed NetworksHiroyoshi Ito, Christos Faloutsos. 46-54 [doi]
• Neighbor2Seq: Deep Learning on Massive Graphs by Transforming Neighbors to SequencesMeng Liu, Shuiwang Ji. 55-63 [doi]
• Leveraging Contextual Graphs for Stochastic Weight Completion in Sparse Road NetworksXiaolin Han, Reynold Cheng, Tobias Grubenmann, Silviu Maniu, Chenhao Ma, Xiaodong Li 0009. 64-72 [doi]
• Interpretable Molecular Graph Generation via Monotonic ConstraintsYuanqi Du, Xiaojie Guo 0002, Amarda Shehu, Liang Zhao 0002. 73-81 [doi]
• Structure-Enhanced Heterogeneous Graph Contrastive LearningYanqiao Zhu 0001, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu 0006, Shu Wu. 82-90 [doi]
• Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water TemperatureXiaowei Jia, Shengyu Chen, Yiqun Xie, Haoyu Yang, Alison P. Appling, Samantha Oliver, Zhe Jiang 0001. 91-99 [doi]
• Early Forecasting of the Impact of Traffic Accidents Using a Single Shot ObservationGuangyu Meng, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu, Zhqian Chen. 100-108 [doi]
• On Predicting and Generating a Good Break Shot in Billiards SportsQianru Zhang, Zheng Wang, Cheng Long, Siu-Ming Yiu. 109-117 [doi]
• ConLearn: Contextual-knowledge-aware Concept Prerequisite Relation Learning with Graph Neural NetworkHao Sun, Yuntao Li, Yan Zhang. 118-126 [doi]
• Hypergraph Contrastive Learning for Electronic Health RecordsDerun Cai, Chenxi Sun, Moxian Song, Baofeng Zhang, Shenda Hong, Hongyan Li 0002. 127-135 [doi]
• SAGA: Signal-Aware Graph AggregationMaxwell McNeil, Boya Ma, Petko Bogdanov. 136-144 [doi]
• Diverse and Experienced Group Discovery via Hypergraph ClusteringIlya Amburg, Nate Veldt, Austin R. Benson. 145-153 [doi]
• Transition Matrix Representation of Trees with Transposed ConvolutionsJaemin Yoo, Lee Sael. 154-162 [doi]
• On the Persistence of Higher-Order Interactions in Real-World HypergraphsHyunjin Choo, Kijung Shin. 163-171 [doi]
• Neural Graph Matching for Pre-training Graph Neural NetworksYupeng Hou, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang 0012, Jun Zhou 0011, Ji-Rong Wen. 172-180 [doi]
• Error-bounded Approximate Time Series Joins using Compact Dictionary Representations of Time SeriesChin-Chia Michael Yeh, Yan Zheng 0001, JunPeng Wang, Huiyuan Chen, Zhongfang Zhuang, Wei Zhang 0189, Eamonn J. Keogh. 181-189 [doi]
• Learning Time-series Shapelets Enhancing DiscriminabilityAkihiro Yamaguchi, Ken Ueno, Hisashi Kashima. 190-198 [doi]
• Towards Similarity-Aware Time-Series ClassificationDaochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu. 199-207 [doi]
• Joint Time Series Chain: Detecting Unusual Evolving Trend across Time SeriesLi Zhang 0074, Nital Patel, Xiuqi Li, Jessica Lin 0001. 208-216 [doi]
• IB-GAN: A Unified Approach for Multivariate Time Series Classification under Class ImbalanceGrace Deng, Cuize Han, Tommaso Dreossi, Clarence Lee, David S. Matteson. 217-225 [doi]
• Automatic Parameter Selection for Non-Redundant ClusteringCollin Leiber, Dominik Mautz, Claudia Plant, Christian Böhm. 226-234 [doi]
• Constrained Mean Shift ClusteringMaximilian Schier, Christoph Reinders, Bodo Rosenhahn. 235-243 [doi]
• SSSNET: Semi-Supervised Signed Network ClusteringYixuan He, Gesine Reinert, Songchao Wang, Mihai Cucuringu. 244-252 [doi]
• Multi-class Label Noise Learning via Loss Decomposition and Centroid EstimationYongliang Ding, Tao Zhou, Chuang Zhang, Yijing Luo, Juan Tang, Chen Gong 0002. 253-261 [doi]
• Unseen Anomaly Detection on Networks via Multi-Hypersphere LearningShuang Zhou 0012, Xiao Huang 0001, Ninghao Liu, Qiaoyu Tan, Fu-Lai Chung. 262-270 [doi]
• Capturing Model Uncertainty with Data Augmentation in Deep LearningWenming Jiang, Ying Zhao, Yihan Wu, Haojia Zuo. 271-279 [doi]
• Input Selection for Bandwidth-Limited Neural Network InferenceStefan Oehmcke, Fabian Gieseke. 280-288 [doi]
• Hybrid Tokenization and Datasets for Solving Mathematics and Science Problems Using TransformersPratik Mandlecha, Snehith Kumar Chatakonda, Neeraj Kollepara, Pawan Kumar. 289-297 [doi]
• GANBLR++: Incorporating Capacity to Generate Numeric Attributes and Leveraging Unrestricted Bayesian NetworksYishuo Zhang, Nayyar Abbas Zaidi, Jiahui Zhou, Gang Li 0009. 298-306 [doi]
• Flexible Image Captioning via Internal Understanding and External ReasoningJiahui Wei, Zhixin Li, Jianwei Zhu, Huifang Ma. 307-315 [doi]
• Multiperiod Corporate Default Prediction Through Neural Parametric Family LearningWei-Lun Luo, Yu-Ming Lu, Jheng-Hong Yang, Jin-Chuan Duan, Chuan-Ju Wang. 316-324 [doi]
• Efficient Wind Speed Nowcasting with GPU-Accelerated Nearest Neighbors AlgorithmArnaud Pannatier, Ricardo Picatoste, François Fleuret. 325-333 [doi]
• HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal DataBang An, Amin Vahedian, Xun Zhou, W. Nick Street, Yanhua Li. 334-342 [doi]
• BRNet: Branched Residual Network for Fast and Accurate Predictive Modeling of Materials PropertiesVishu Gupta, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal. 343-351 [doi]
• Textbook Enhanced Student Learning Outcome PredictionTianqi Wang, Fenglong Ma, Tang Tang, Longfei Zhang, Jing Gao 0004. 352-360 [doi]
• Dense and well-connected subgraph detection in dual networksTianyi Chen, Francesco Bonchi, David García-Soriano, Atsushi Miyauchi 0001, Charalampos E. Tsourakakis. 361-369 [doi]
• Fine-grained Attributed Graph ClusteringZhao Kang 0001, Zhanyu Liu, Shirui Pan, Ling Tian. 370-378 [doi]
• Computation of the Sample Fréchet Mean for Sets of Large Graphs with Applications to RegressionDaniel Ferguson, François G. Meyer. 379-387 [doi]
• Classic Graph Structural Features Outperform Factorization-Based Graph Embedding Methods on Community LabelingAndrew Stolman, Caleb Levy, C. Seshadhri 0001, Aneesh Sharma. 388-396 [doi]
• HG-Meta: Graph Meta-learning over Heterogeneous GraphsQiannan Zhang, Xiaodong Wu, Qiang Yang, Chuxu Zhang, Xiangliang Zhang 0001. 397-405 [doi]
• Multi-interest Sequence Modeling for Recommendation with Causal EmbeddingCaiqi Sun, Penghao Lu, Lei Cheng, Zhenfu Cao, Xiaolei Dong, Yili Tang, Jun Zhou, Linjian Mo. 406-414 [doi]
• kNNAlexander Marx, Jonas Fischer. 415-423 [doi]
• Masked Gradient-Based Causal Structure LearningIgnavier Ng, Shengyu Zhu 0001, Zhuangyan Fang, Haoyang Li, Zhitang Chen, Jun Wang 0012. 424-432 [doi]
• Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Real-World DataZhixuan Chu, Stephen L. Rathbun, Sheng Li 0001. 433-441 [doi]
• Cycle-Balanced Representation Learning For Counterfactual InferenceGuanglin Zhou, Lina Yao 0001, Xiwei Xu, Chen Wang 0008, Liming Zhu 0001. 442-450 [doi]
• GRP-FED: Addressing Client Imbalance in Federated Learning via Global-Regularized PersonalizationYen-hsiu Chou, Shenda Hong, Chenxi Sun, Derun Cai, Moxian Song, Hongyan Li 0002. 451-458 [doi]
• FedMe: Federated Learning via Model ExchangeKoji Matsuda, Yuya Sasaki 0001, Chuan Xiao 0001, Makoto Onizuka. 459-467 [doi]
• Noisy Truncated SGD: Optimization and GeneralizationYingxue Zhou, Xinyan Li, Arindam Banerjee 0001. 468-476 [doi]
• StepDIRECT - A Derivative-Free Optimization Method for Stepwise FunctionsDzung T. Phan, Hongsheng Liu, Lam M. Nguyen. 477-485 [doi]
• Adaptive Principal Component AnalysisXiangyu Li, Hua Wang. 486-494 [doi]
• Collaborative Attention Mechanism for Multi-Modal Time Series ClassificationYue Bai, Zhiqiang Tao, Lichen Wang, Sheng Li 0001, Yu Yin, Yun Fu 0001. 495-503 [doi]
• Leveraging Dependencies among Learned Temporal SubsequencesShoumik Roychoudhury, Fang Zhou, Zoran Obradovic. 504-512 [doi]
• Contextual Bandits for Advertising Campaigns: A Diffusion-Model Independent ApproachAlexandra Iacob, Bogdan Cautis, Silviu Maniu. 513-521 [doi]
• Measuring disentangled generative spatio-temporal representationSichen Zhao, Wei Shao 0006, Jeffrey Chan, Flora D. Salim. 522-530 [doi]
• A Non-sequential Approach to Deep User Interest Model for CTR PredictionKeke Zhao, Xing Zhao, Qi Cao, Linjian Mo. 531-539 [doi]
• Localized Graph Collaborative FilteringYiqi Wang 0001, Chaozhuo Li, Mingzheng Li, Wei Jin 0009, Yuming Liu, Hao Sun, Xing Xie 0001, Jiliang Tang. 540-548 [doi]
• Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log Data?Ryoma Sato. 549-557 [doi]
• Time-aware Multi-interest Capsule Network for Sequential RecommendationZhikai Wang, Yanyan Shen. 558-566 [doi]
• Cyclic Transfer Learning for Recommender Systems with Heterogeneous FeedbacksXuelian Ni, Fei Xiong, Yutian Hu, Shirui Pan, Hongshu Chen, Liang Wang 0017. 567-575 [doi]
• Sensitivity-aware Distance Measurement for Boosting Metric LearningHaoliang Liu, Tan Yu, Ping Li 0001. 576-584 [doi]
• Exceptional Model Mining for Repeated Cross-Sectional Data (EMM-RCS)Rianne M. Schouten, Wouter Duivesteijn, Mykola Pechenizkiy. 585-593 [doi]
• Learning from Imbalanced Crowdsourced Labeled DataWentao Wang 0006, Joseph Thekinen, Xiaorui Liu, Zitao Liu 0001, Jiliang Tang. 594-602 [doi]
• Deperturbation of Online Social Networks via Bayesian Label TransitionJun Zhuang, Mohammad Al Hasan. 603-611 [doi]
• Improved Knowledge Distillation via Full Kernel Matrix TransferQi Qian 0001, Hao Li 0030, Juhua Hu. 612-620 [doi]
• Mining Logical Arithmetic Expressions From Proper RepresentationsEitan Kosman, Ilya Kolchinsky, Assaf Schuster. 621-629 [doi]
• CPTAM: Constituency Parse Tree Aggregation MethodAdithya Kulkarni, Nasim Sabetpour, Alexey Markin, Oliver Eulenstein, Qi Li 0012. 630-638 [doi]
• Knowledge-enhanced Spherical Representation Learning for Text ClassificationHafsa Ennajari, Nizar Bouguila, Jamal Bentahar. 639-647 [doi]
• A Strong Node Classification Baseline for Temporal GraphsFarimah Poursafaei, Zeljko Zilic, Reihaneh Rabbany. 648-656 [doi]
• Heterogeneous Temporal Graph Neural NetworkYujie Fan, Mingxuan Ju, Chuxu Zhang, Yanfang Ye. 657-665 [doi]
• Adapting Distilled Knowledge for Few-shot Relation Reasoning over Knowledge GraphsYiming Zhang 0002, Yiyue Qian, Yanfang Ye, Chuxu Zhang. 666-674 [doi]
• Explainable Concept Graph Completion by Bridging Open-Domain Relations and ConceptsYue Zhang, Mingming Sun, Jingyuan Zhang, Ping Li 0001. 675-683 [doi]
• YACC: A Framework Generalizing TuránShadow for Counting Large CliquesShweta Jain 0007, Hanghang Tong. 684-692 [doi]
• Adversarially Reprogramming Pretrained Neural Networks for Data-limited and Cost-efficient Malware DetectionLingwei Chen, Xiaoting Li, Dinghao Wu. 693-701 [doi]
• Invertibility aware Integration of Static and Time-series data: An application to Lake Temperature ModelingKshitij Tayal, Xiaowei Jia, Rahul Ghosh, Jared Willard, Jordan S. Read, Vipin Kumar 0001. 702-710 [doi]
• Unifying Human Mobility Forecasting and Trajectory Semantics Augmentation via Hawkes Process Based LSTMPengfei Wang 0008, Kunpeng Liu 0001, Yuanchun Zhou, Yanjie Fu. 711-719 [doi]
• FAME: Fragment-based Conditional Molecular Generation for Phenotypic Drug DiscoveryThai-Hoang Pham, Lei Xie 0006, Ping Zhang 0016. 720-728 [doi]
• DeepGLSTM: Deep Graph Convolutional Network and LSTM based approach for predicting drug-target binding affinityShrimon Mukherjee, Madhusudan Ghosh, Partha Basuchowdhuri. 729-737 [doi]