Table of Contents

• Discovering Reliable Causal RulesKailash Budhathoki, Mario Boley, Jilles Vreeken. 1-9 [doi]
• Stochastic Time Series Representation for Interval Pattern Mining via Gaussian ProcessesFabian Berns, Christian Beecks. 10-18 [doi]
• Efficient Permutation Testing for Significant Sequential PatternsSam Pinxteren, Toon Calders. 19-27 [doi]
• Learning Reliable Rules under Class ImbalanceDimitrios I. Diochnos, Theodore B. Trafalis. 28-36 [doi]
• GPU-Accelerated Constraint-Based Causal Structure Learning for Discrete DataChristopher Hagedorn, Johannes Huegle. 37-45 [doi]
• Discrete Listwise Collaborative Filtering for Fast RecommendationChenghao Liu, Tao Lu, Zhiyong Cheng, Xin Wang, Jianling Sun, Steven C. H. Hoi. 46-54 [doi]
• GraphShop: Graph-based Approach for Shop-type RecommendationGuo Yuan An, Sung-Eui Yoon, Jae Yoon Kim, Lin Wang, Myoung-Ho Kim. 55-63 [doi]
• Sequence-aware Heterogeneous Graph Neural Collaborative FilteringChen Li, Linmei Hu, Chuan Shi, Guojie Song, Yuanfu Lu. 64-72 [doi]
• LDFeRR: A Fuel-efficient Route Recommendation Approach for Long-distance Driving Based on Historical TrajectoriesMin Liu 0018, Zhaohui Peng, Xiaohui Yu, Senzhang Wang, Qiao Song. 73-81 [doi]
• Session-based Recommendation with Hypergraph Attention NetworksJianling Wang, Kaize Ding, Ziwei Zhu, James Caverlee. 82-90 [doi]
• Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor DetectionDongkuan Xu, Wei Cheng, Jingchao Ni, Dongsheng Luo, Masanao Natsumeda, Dongjin Song, Bo Zong, Haifeng Chen, Xiang Zhang. 91-99 [doi]
• Noise-Response Analysis of Deep Neural Networks Quantifies Robustness and Fingerprints Structural MalwareN. Benjamin Erichson, Dane Taylor, Qixuan Wu, Michael W. Mahoney. 100-108 [doi]
• Signature-Based Anomaly Detection in NetworksCharu C. Aggarwal, Yao Li, Philip S. Yu. 109-117 [doi]
• A Dimensionality-Driven Approach for Unsupervised Out-of-distribution DetectionQizhou Wang, Sarah M. Erfani, Christopher Leckie, Michael E. Houle. 118-126 [doi]
• Reconstruction-based Anomaly Detection with Completely Random ForestYi-Xuan Xu, Ming Pang, Ji Feng, Kai Ming Ting, Yuan Jiang, Zhi-Hua Zhou. 127-135 [doi]
• New Approximation Algorithms for Forest Closeness Centrality - for Individual Vertices and Vertex GroupsAlexander van der Grinten, Eugenio Angriman, Maria Predari, Henning Meyerhenke. 136-144 [doi]
• PRESTO: Simple and Scalable Sampling Techniques for the Rigorous Approximation of Temporal Motif CountsIlie Sarpe, Fabio Vandin. 145-153 [doi]
• POTION : Optimizing Graph Structure for Targeted DiffusionSixie Yu, Leo Torres, Scott Alfeld, Tina Eliassi-Rad, Yevgeniy Vorobeychik. 154-162 [doi]
• Node Proximity Is All You Need: Unified Structural and Positional Node and Graph EmbeddingJing Zhu, Xingyu Lu, Mark Heimann, Danai Koutra. 163-171 [doi]
• Refining Network Alignment to Improve Matched Neighborhood ConsistencyMark Heimann, Xiyuan Chen, Fatemeh Vahedian, Danai Koutra. 172-180 [doi]
• Fairness-aware Agnostic Federated LearningWei Du, Depeng Xu, Xintao Wu, Hanghang Tong. 181-189 [doi]
• Equitable Allocation of Healthcare Resources with Fair Survival ModelsKamrun Naher Keya, Rashidul Islam, Shimei Pan, Ian Stockwell, James R. Foulds. 190-198 [doi]
• Fair Classification Under Strict UnawarenessHaoyu Wang, Hengtong Zhang, Yaqing Wang, Jing Gao. 199-207 [doi]
• Turning Attacks into Protection: Social Media Privacy Protection Using Adversarial AttacksXiaoting Li, Lingwei Chen, Dinghao Wu. 208-216 [doi]
• Influencers and the Giant Component: The Fundamental Hardness in Privacy Protection for Socially Contagious AttributesAria Rezaei, Jie Gao, Anand D. Sarwate. 217-225 [doi]
• A Practical Online Framework for Extracting Running Video Summaries under a Fixed Memory BudgetChandrashekhar Lavania, Kai Wei, Rishabh K. Iyer, Jeff A. Bilmes. 226-234 [doi]
• Adaptive Holding for Online Bottleneck Matching with DelaysKaixin Wang, Cheng Long, Yongxin Tong, Jie Zhang, Yi Xu. 235-243 [doi]
• Mining Easily Understandable Models from Complex Event LogsBoris Wiegand, Dietrich Klakow, Jilles Vreeken. 244-252 [doi]
• Deep Neural Network for 3D Surface Segmentation based on Contour Tree HierarchyWenchong He, Arpan Man Sainju, Zhe Jiang 0001, Da Yan 0001. 253-261 [doi]
• Learning Time-series Shapelets via Supervised Feature SelectionAkihiro Yamaguchi, Ken Ueno. 262-270 [doi]
• Maximizing Cohesion and Separation in Graph Representation Learning: A Distance-aware Negative Sampling ApproachM. Maruf, Anuj Karpatne. 271-279 [doi]
• DPGS: Degree-Preserving Graph SummarizationHouquan Zhou, Shenghua Liu, Kyuhan Lee, Kijung Shin, Huawei Shen, Xueqi Cheng. 280-288 [doi]
• Density of States Graph KernelsLeo Huang, Andrew J. Graven, David Bindel. 289-297 [doi]
• SUSAN: The Structural Similarity Random Walk KernelJanis Kalofolias, Pascal Welke, Jilles Vreeken. 298-306 [doi]
• Scalable Graph Synthesis with Adj and 1 - AdjJinsung Jeon, Jing Liu, Jayoung Kim, Jaehoon Lee, Noseong Park, Jamie Jooyeon Lee, Özlem Uzuner, Sushil Jajodia. 307-315 [doi]
• Multi-Armed Bandit Based Feature SelectionKunpeng Liu 0001, Haibo Huang, Wei Zhang, Ahmad Hariri, Yanjie Fu, Kien A. Hua. 316-323 [doi]
• UNIANO: robust and efficient anomaly consensus in time series sensitive to cross-correlated anomaly profilesLeonor Silva, Helena Galhardas, Vasco M. Manquinho, Rui Henriques. 324-332 [doi]
• Random Features Strengthen Graph Neural NetworksRyoma Sato, Makoto Yamada, Hisashi Kashima. 333-341 [doi]
• AutoGFS: Automated Group-based Feature Selection via Interactive Reinforcement LearningWei Fan, Kunpeng Liu 0001, Hao Liu, Ahmad Hariri, Dejing Dou, Yanjie Fu. 342-350 [doi]
• Better Short than Greedy: Interpretable Models through Optimal Rule BoostingMario Boley, Simon Teshuva, Pierre Le Bodic, Geoffrey I. Webb. 351-359 [doi]
• Complexity-Adaptive Gaussian Process Model Inference for Large-Scale DataFabian Berns, Christian Beecks. 360-368 [doi]
• Predictive Optimization with Zero-Shot Domain AdaptationTomoya Sakai 0001, Naoto Ohsaka. 369-377 [doi]
• Exceptional Model Mining meets Multi-objective OptimizationAlexandre Millot, Rémy Cazabet, Jean-François Boulicaut. 378-386 [doi]
• Estimating Conditional Mutual Information for Discrete-Continuous Mixtures using Multi-Dimensional Adaptive HistogramsAlexander Marx, Lincen Yang, Matthijs van Leeuwen. 387-395 [doi]
• Sign-aware Perturbations RegressionZhongnian Li, Tao Zhang, Wei Shao 0005, Songcan Chen, Daoqiang Zhang. 396-404 [doi]
• Faster Stochastic Second Order Method for Large-Scale Machine Learning ModelsHongchang Gao, Heng Huang. 405-413 [doi]
• k-Submodular FunctionsLeqian Zheng, Hau Chan, Grigorios Loukides, Minming Li. 414-422 [doi]
• Submodular Maximization via Taylor Series ApproximationGözde Özcan, Armin Moharrer, Stratis Ioannidis. 423-431 [doi]
• Frank-Wolfe algorithm for learning SVM-type multi-category classifiersKenya Tajima, Yoshihiro Hirohashi, Esmeraldo Ronnie Rey Zara, Tsuyoshi Kato. 432-440 [doi]
• Provable Distributed Stochastic Gradient Descent with Delayed UpdatesHongchang Gao, Gang Wu, Ryan A. Rossi. 441-449 [doi]
• Verifying Tree Ensembles by Reasoning about Potential InstancesLaurens Devos, Wannes Meert, Jesse Davis. 450-458 [doi]
• CiNet: Redesigning Deep Neural Networks for Efficient Mobile-Cloud Collaborative InferenceXin Dai, Xiangnan Kong, Tian Guo 0001, Yixian Huang. 459-467 [doi]
• "Misc"-Aware Weakly Supervised Aspect ClassificationPeiran Li, Fang Guo, Jingbo Shang. 468-476 [doi]
• SUMDocS: Surrounding-aware Unsupervised Multi-Document SummarizationQi Zhu 0008, Fang Guo, Jingjing Tian, Yuning Mao, Jiawei Han 0001. 477-485 [doi]
• Deep Multi-type Objects Muli-view Multi-instance Multi-label LearningYuanlin Yang 0001, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang 0001. 486-494 [doi]
• Inter-Series Attention Model for COVID-19 ForecastingXiaoyong Jin, Yu-Xiang Wang, Xifeng Yan. 495-503 [doi]
• MT-STNets: Multi-Task Spatial-Temporal Networks for Multi-Scale Traffic PredictionSenzhang Wang, Meiyue Zhang, Hao Miao, Philip S. Yu. 504-512 [doi]
• A Fine-grained Graph-based Spatiotemporal Network for Bike Flow Prediction in Bike-sharing SystemsPeiyu Yi, Feihu Huang, Jian Peng. 513-521 [doi]
• A Deep Adversarial Model for Suffix and Remaining Time Prediction of Event SequencesFarbod Taymouri, Marcello La Rosa, Sarah M. Erfani. 522-530 [doi]
• Attention-Based Autoregression for Accurate and Efficient Multivariate Time Series ForecastingJaemin Yoo, U Kang. 531-539 [doi]
• Yet Meta Learning Can Adapt Fast, it Can Also Break EasilyHan Xu, Yaxin Li 0001, Xiaorui Liu, Hui Liu, Jiliang Tang. 540-548 [doi]
• Do winning tickets exist before DNN training?Kathrin Grosse, Michael Backes 0001. 549-557 [doi]
• HALO: Learning to Prune Neural Networks with ShrinkageSkyler Seto, Martin T. Wells, Wenyu Zhang. 558-566 [doi]
• EduHawkes: A Neural Hawkes Process Approach for Online Study Behavior ModelingLu Jiang 0007, Pengyang Wang, Ke Cheng, Kunpeng Liu 0001, Minghao Yin, Bo Jin 0001, Yanjie Fu. 567-575 [doi]
• Contradictory Structure Learning for Semi-supervised Domain AdaptationCan Qin, Lichen Wang, Qianqian Ma, Yu Yin, Huan Wang, Yun Fu 0001. 576-584 [doi]
• Learning Robust Patient Representations from Multi-modal Electronic Health Records: A Supervised Deep Learning ApproachXianli Zhang, Buyue Qian, Yang Li, Yang Liu, Xi Chen, Chong Guan, Chen Li. 585-593 [doi]
• TedPar: Temporally Dependent PARAFAC2 Factorization for Phenotype-based Disease Progression ModelingKejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon. 594-602 [doi]
• TeX-Graph: Coupled tensor-matrix knowledge-graph embedding for COVID-19 drug repurposingCharilaos I. Kanatsoulis, Nicholas D. Sidiropoulos. 603-611 [doi]
• Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River NetworksXiaowei Jia, Jacob Zwart, Jeffrey Sadler, Alison P. Appling, Samantha Oliver, Steven Markstrom, Jared Willard, Shaoming Xu, Michael S. Steinbach, Jordan S. Read, Vipin Kumar. 612-620 [doi]
• Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River NetworksXiaowei Jia, Beiyu Lin, Jacob Zwart, Jeffrey Sadler, Alison P. Appling, Samantha Oliver, Jordan S. Read. 621-629 [doi]
• A Data-Dependent Algorithm for Querying Earth Mover's Distance with Low Doubling DimensionsHu Ding, Tan Chen, Fan Yang, Mingyue Wang. 630-638 [doi]
• PhraseScope: An Effective and Unsupervised Framework for Mining High Quality PhrasesOmer Anjum, Mohammad Almasri, Jinjun Xiong, Wen-mei W. Hwu. 639-647 [doi]
• Scalable Distributed Approximation of Internal Measures for Clustering EvaluationFederico Altieri, Andrea Pietracaprina, Geppino Pucci, Fabio Vandin. 648-656 [doi]
• Unsupervised Selective Manifold Regularized Matrix FactorizationPriya Mani, Carlotta Domeniconi, Igor Griva. 657-665 [doi]
• Functional Autoencoders for Functional Data Representation LearningTsung-Yu Hsieh, Yiwei Sun, Suhang Wang, Vasant G. Honavar. 666-674 [doi]
• Quadratic Residual Networks: A New Class of Neural Networks for Solving Forward and Inverse Problems in Physics Involving PDEsJie Bu, Anuj Karpatne. 675-683 [doi]
• Synthesizing Skeletal Motion and Physiological Signals as a Function of a Virtual Human's Actions and EmotionsBonny Banerjee, Masoumeh Heidari Kapourchali, Murchana Baruah, Mousumi Deb, Kenneth Sakauye, Mette S. Olufsen. 684-692 [doi]
• Towards Learning Outcome Prediction via Modeling Question Explanations and Student ResponsesTianqi Wang, Fenglong Ma, Yaqing Wang, Tang Tang, Longfei Zhang, Jing Gao. 693-701 [doi]
• Temporal-Aware Graph Neural Network for Credit Risk PredictionDaixin Wang, Zhiqiang Zhang 0012, Jun Zhou, Peng Cui, Jingli Fang, Quanhui Jia, Yanming Fang, Yuan Qi 0001. 702-710 [doi]
• Large-Scale Flight Frequency Optimization with Global Convergence in the US Domestic Air Passenger MarketsJinsung Jeon, Dongeun Lee 0001, Seunghyun Hwang, Soyoung Kang, Noseong Park, Duanshun Li, Kookjin Lee, Jing Liu. 711-719 [doi]
• Heterogeneous Graph Neural Networks for Query-focused SummarizationJing Ya, Tingwen Liu, Jiangxia Cao, Li Guo. 720-728 [doi]
• Dynamic Graph Convolutional Networks Using the Tensor M-ProductOsman Asif Malik, Shashanka Ubaru, Lior Horesh, Misha E. Kilmer, Haim Avron. 729-737 [doi]
• Disentangled Dynamic Graph Deep GenerationWenbin Zhang 0002, LiMing Zhang, Dieter Pfoser, Liang Zhao 0002. 738-746 [doi]
• Robust Dual Recurrent Neural Networks for Financial Time Series PredictionJiayu He, Matloob Khushi, Nguyen H. Tran, Tongliang Liu. 747-755 [doi]
• Learning over Families of Sets - Hypergraph Representation Learning for Higher Order TasksBalasubramaniam Srinivasan, Da Zheng, George Karypis. 756-764 [doi]