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ORCID22nd ICDM 2022: Orlando, FL, USA
- Xingquan Zhu, Sanjay Ranka, My T. Thai, Takashi Washio, Xindong Wu:
IEEE International Conference on Data Mining, ICDM 2022, Orlando, FL, USA, November 28 - Dec. 1, 2022. IEEE 2022, ISBN 978-1-6654-5099-7 - Han Bao, Xun Zhou, Yiqun Xie, Yanhua Li, Xiaowei Jia:
STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19. 1-10 - Chenyang Bu
, Jiawei Zhang, Xingchen Yu, Le Wu, Xindong Wu:
Which Companies are Likely to Invest: Knowledge-graph-based Recommendation for Investment Promotion. 11-20 - Yuanying Cai, Chuheng Zhang, Li Zhao, Wei Shen, Xuyun Zhang, Lei Song, Jiang Bian, Tao Qin, Tieyan Liu:
TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets. 21-30 - Tianshi Che, Zijie Zhang, Yang Zhou, Xin Zhao, Ji Liu, Zhe Jiang, Da Yan, Ruoming Jin, Dejing Dou:
Federated Fingerprint Learning with Heterogeneous Architectures. 31-40 - Xu Chen:
Robust Structure-aware Semi-supervised Learning. 41-50 - Zhong Chen, Huixin Zhan, Victor S. Sheng, Andrea Edwards, Kun Zhang:
Projection Dual Averaging Based Second-order Online Learning. 51-60 - Zifan Chen, Zhe Wu, Xian Wu, Li Zhang, Jie Zhao, Yangtian Yan, Yefeng Zheng:
Contractible Regularization for Federated Learning on Non-IID Data. 61-70 - Martino Ciaperoni, Han Xiao, Aristides Gionis:
Concise and interpretable multi-label rule sets. 71-80 - Suhan Cui, Junyu Luo, Muchao Ye, Jiaqi Wang, Ting Wang, Fenglong Ma:
MedSkim: Denoised Health Risk Prediction via Skimming Medical Claims Data. 81-90 - Songgaojun Deng, Huzefa Rangwala, Yue Ning:
Causality Enhanced Societal Event Forecasting With Heterogeneous Graph Learning. 91-100 - Ramesh Doddaiah, Prathyush S. Parvatharaju, Elke A. Rundensteiner, Thomas Hartvigsen:
Class-Specific Explainability for Deep Time Series Classifiers. 101-110 - Bingbing Dong, Zan Zhang, Jiao Li, Yi Zhu, Chenyang Bu, Xindong Wu:
Hypernode: Entity Fusion for Data Traceability and Link Prediction. 111-120 - Bao Duong, Thin Nguyen:
Conditional Independence Testing via Latent Representation Learning. 121-130 - Ziqing Fan, Yanfeng Wang, Jiangchao Yao, Lingjuan Lyu, Ya Zhang, Qi Tian:
FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation. 131-140 - Yangcheng Gao, Zhao Zhang, Richang Hong, Haijun Zhang, Jicong Fan, Shuicheng Yan:
Towards Feature Distribution Alignment and Diversity Enhancement for Data-Free Quantization. 141-150 - Xin Gao, Zhengye Zhu, Xu Chu, Yasha Wang, Wenjie Ruan, Junfeng Zhao:
Enhancing Robust Text Classification via Category Description. 151-160 - Rahul Ghosh, Bangyan Li, Kshitij Tayal, Vipin Kumar, Xiaowei Jia:
Meta-Transfer Learning: An application to Streamflow modeling in River-streams. 161-170 - Xiaoxue Han, Yue Ning:
Text-enhanced Multi-Granularity Temporal Graph Learning for Event Prediction. 171-180 - Qiuting He, Jinsong Chen, Hao Xu, Kun He:
Structural Robust Label Propagation on Homogeneous Graphs. 181-190 - Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen:
Privacy-Preserved Neural Graph Similarity Learning. 191-200 - Han Huang, Leilei Sun, Bowen Du, Yanjie Fu, Weifeng Lv:
GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation. 201-210 - Seungwoo Jeong, Wonsik Jung, Junghyo Sohn, Heung-Il Suk:
Deep Geometrical Learning for Alzheimer's Disease Progression Modeling. 211-220 - Wei Ju, Yifang Qin, Ziyue Qiao, Xiao Luo, Yifan Wang, Yanjie Fu, Ming Zhang:
Kernel-based Substructure Exploration for Next POI Recommendation. 221-230 - Zhiyuan Li, Xun Jian, Yue Wang, Lei Chen:
CC-GNN: A Community and Contraction-based Graph Neural Network. 231-240 - Fan Lin, Pengfei Li, Yuanguo Lin, Zhennan Chen, Huanyu You, Shibo Feng:
Kernel-based Hybrid Interpretable Transformer for High-frequency Stock Movement Prediction. 241-250 - Dunqiang Liu, Shu-Juan Peng, Xin Liu, Lei Zhu, Zhen Cui, Taihao Li:
Inconsistency Distillation For Consistency: Enhancing Multi-View Clustering via Mutual Contrastive Teacher-Student Leaning. 251-258 - Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal:
DAGAD: Data Augmentation for Graph Anomaly Detection. 259-268 - Jiayu Liu, Zhenya Huang, Xin Lin, Qi Liu, Jianhui Ma, Enhong Chen:
A Cognitive Solver with Autonomously Knowledge Learning for Reasoning Mathematical Answers. 269-278 - Kangzheng Liu, Feng Zhao, Guandong Xu, Xianzhi Wang, Hai Jin:
Temporal Knowledge Graph Reasoning via Time-Distributed Representation Learning. 279-288 - Zhiding Liu, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen:
One Person, One Model - Learning Compound Router for Sequential Recommendation. 289-298 - Yi-Fan Ma, Ming Li:
Learning from the Multi-Level Abstraction of the Control Flow Graph via Alternating Propagation for Bug Localization. 299-308 - Nadya Abdel Madjid, Ola El Khatib, Shuang Gao, Djellel Eddine Difallah:
HyperKGQA: Question Answering over Knowledge Graphs using Hyperbolic Representation Learning. 309-318 - Chaitanya Manapragada, Mahsa Salehi, Geoffrey I. Webb:
Extremely Fast Hoeffding Adaptive Tree. 319-328 - Qianren Mao, Yiming Wang, Chenghong Yang, Linfeng Du, Hao Peng, Jia Wu, Jianxin Li, Zheng Wang:
HiGIL: Hierarchical Graph Inference Learning for Fact Checking. 329-337 - Ryan Mercer, Eamonn J. Keogh:
Matrix Profile XXV: Introducing Novelets: A Primitive that Allows Online Detection of Emerging Behaviors in Time Series. 338-347 - Jingci Ming, Le Zhang, Wei Fan, Weijia Zhang, Yu Mei, Weicen Ling, Hui Xiong:
Multi-Graph Convolutional Recurrent Network for Fine-Grained Lane-Level Traffic Flow Imputation. 348-357 - Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran:
Revisiting Link Prediction on Heterogeneous Graphs with a Multi-view Perspective. 358-367 - Raha Moraffah, Huan Liu:
Query-Efficient Target-Agnostic Black-Box Attack. 368-377 - Young-Jin Park, Donghyun Kim, Frédéric Odermatt, Juho Lee, Kyung-Min Kim:
A Large-Scale Ensemble Learning Framework for Demand Forecasting. 378-387 - Luca Pasa, Nicolò Navarin, Wolfgang Erb, Alessandro Sperduti:
Backpropagation-free Graph Neural Networks. 388-397 - Xiaohuan Pei, Daochang Liu, Luo Qian, Chang Xu:
Contrastive Code-Comment Pre-training. 398-407 - Xiaohuan Pei, Shuo Yang, Jiajun Huang, Chang Xu:
Self-Attention Gated Cognitive Diagnosis For Faster Adaptive Educational Assessments. 408-417 - Giulia Preti, Gianmarco De Francisci Morales, Matteo Riondato:
Alice and the Caterpillar: A More Descriptive Null Model for Assessing Data Mining Results. 418-427 - Ruihong Qiu, Zi Huang, Hongzhi Yin:
Beyond Double Ascent via Recurrent Neural Tangent Kernel in Sequential Recommendation. 428-437 - Weijieying Ren, Lei Wang, Kunpeng Liu, Ruocheng Guo, Ee-Peng Lim, Yanjie Fu:
Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective. 438-447 - Xuli Shen, Xiaomei Wang, Qing Xu, Weifeng Ge, Xiangyang Xue:
Towards Scalable and Fast Distributionally Robust Optimization for Data-Driven Deep Learning. 448-457 - Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang:
AutoAssign: Automatic Shared Embedding Assignment in Streaming Recommendation. 458-467 - Yao Su, Xin Dai, Lifang He, Xiangnan Kong:
ABN: Anti-Blur Neural Networks for Multi-Stage Deformable Image Registration. 468-477 - Yifan Sun, Yunfeng Zhao, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi:
Few-shot Partial Multi-label Learning with Data Augmentation. 478-487 - Minh N. Vu, Truc D. T. Nguyen, My T. Thai:
NeuCEPT: Learn Neural Networks' Mechanism via Critical Neurons with Precision Guarantee. 488-497 - Binghui Wang, Ang Li, Meng Pang, Hai Li, Yiran Chen:
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs. 498-507 - Bo Wang, Zhao Zhang, Jicong Fan, Mingbo Zhao, Choujun Zhan, Mingliang Xu:
FineFormer: Fine-Grained Adaptive Object Transformer for Image Captioning. 508-517 - Pengkun Wang, Xu Wang, Binwu Wang, Yudong Zhang, Lei Bai, Yang Wang:
Countering Modal Redundancy and Heterogeneity: A Self-Correcting Multimodal Fusion. 518-527 - Yuecen Wei, Xingcheng Fu, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li:
Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation. 528-537 - Huimin Wu, William de Vazelhes, Bin Gu:
Efficient Semi-Supervised Adversarial Training without Guessing Labels. 538-547 - Jiele Wu, Chunhui Zhang, Zheyuan Liu, Erchi Zhang, Steven Wilson, Chuxu Zhang:
GraphBERT: Bridging Graph and Text for Malicious Behavior Detection on Social Media. 548-557 - Ruofan Wu, Boqun Ma, Hong Jin, Wenlong Zhao, Weiqiang Wang, Tianyi Zhang:
GRANDE: a neural model over directed multigraphs with application to anti-money laundering. 558-567 - Yunshu Wu, Uday Singh Saini, Jia Chen, Evangelos E. Papalexakis:
TENALIGN: Joint Tensor Alignment and Coupled Factorization. 568-577 - Xidong Wu, Feihu Huang, Heng Huang:
Fast Stochastic Recursive Momentum Methods for Imbalanced Data Mining. 578-587 - Wenwen Xia, Yuchen Li, Wentian Guo, Shenghong Li:
Efficient Navigation for Constrained Shortest Path with Adaptive Expansion Control. 588-597 - Xiangjin Xie, Yuxin Chen, Ruipeng Wang, Xianli Zhang, Shilei Cao, Kai Ouyang, Zihan Zhang, Hai-Tao Zheng, Buyue Qian, Hansen Zheng, Bo Hu, Chengxiang Zhuo, Zang Li:
MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation. 598-607 - Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong:
Generalized Few-Shot Node Classification. 608-617 - Ruixuan Yan, Tengfei Ma, Achille Fokoue, Maria Chang, Agung Julius:
Neuro-symbolic Models for Interpretable Time Series Classification using Temporal Logic Description. 618-627 - Zhe-Rui Yang, Zhen-Yu He, Chang-Dong Wang, Pei-Yuan Lai, De-Zhang Liao, Zhong-Zheng Wang:
A Bi-directional Recommender System for Online Recruitment. 628-637 - Dixi Yao, Liyao Xiang, Hengyuan Xu, Hangyu Ye, Yingqi Chen:
Privacy-Preserving Split Learning via Patch Shuffling over Transformers. 638-647 - Zhenning Yu, Xin Liu, Yiu-Ming Cheung, Minghang Zhu, Xing Xu, Nannan Wang, Taihao Li:
Detach and Enhance: Learning Disentangled Cross-modal Latent Representation for Efficient Face-Voice Association and Matching. 648-655 - Taikang Yuan, Junxing Zhu, Kaijun Ren, Wuxin Wang, Xiang Wang, Xiaoyong Li:
Neural Network Driven by Space-time Partial Differential Equation for Predicting Sea Surface Temperature. 656-665 - Ryo Yuki, Yuichi Ike, Kenji Yamanishi:
Dimensionality Selection of Hyperbolic Graph Embeddings using Decomposed Normalized Maximum Likelihood Code-Length. 666-675 - Guangyi Zhang, Nikolaj Tatti, Aristides Gionis:
Coresets remembered and items forgotten: submodular maximization with deletions. 676-685 - Hong Zhang, Lan Zhang, Ju Huang, Anran Li, Haoran Cheng, Dongbo Huang, Lan Xu:
A Unified Guaranteed Impression Allocation Framework for Online Display Advertising. 686-694 - Mengyuan Zhang, Kai Liu:
Rethinking Symmetric Matrix Factorization: A More General and Better Clustering Perspective. 695-702 - Qin Zhang, Qincai Li, Xiaojun Chen, Peng Zhang, Shirui Pan, Philippe Fournier-Viger, Joshua Zhexue Huang:
A Dynamic Variational Framework for Open-World Node Classification in Structured Sequences. 703-712 - Xianli Zhang, Buyue Qian, Yang Li, Zeyu Gao, Chong Guan, Renzhen Wang, Yefeng Zheng, Hansen Zheng, Chen Li:
Learning Representations from Local to Global for Fine-grained Patient Similarity Measuring in Intensive Care Unit. 713-722 - Xin Zhang, Yanyan Shen, Lei Chen:
Feature-Oriented Sampling for Fast and Scalable GNN Training. 723-732 - Yingxue Zhang, Yanhua Li, Xun Zhou, Jun Luo:
Mest-GAN: Cross-City Urban Traffic Estimation with Me ta S patial-T emporal G enerative A dversarial N etworks. 733-742 - Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo:
STrans-GAN: Spatially-Transferable Generative Adversarial Networks for Urban Traffic Estimation. 743-752 - Zheng Zhang, Liang Zhao:
Unsupervised Deep Subgraph Anomaly Detection. 753-762 - Xujiang Zhao, KrishnaTeja Killamsetty, Rishabh K. Iyer, Feng Chen:
How Out-of-Distribution Data Hurts Semi-Supervised Learning. 763-772 - Yue Zhao, Sean Zhang, Leman Akoglu:
Toward Unsupervised Outlier Model Selection. 773-782 - Xin Zheng, Miao Zhang, Chunyang Chen, Chaojie Li, Chuan Zhou, Shirui Pan:
Multi-Relational Graph Neural Architecture Search with Fine-grained Message Passing. 783-792 - Yizhen Zheng, Yu Zheng, Xiaofei Zhou, Chen Gong, Vincent C. S. Lee, Shirui Pan:
Unifying Graph Contrastive Learning with Flexible Contextual Scopes. 793-802 - Zuowu Zheng, Xiaofeng Gao, Junwei Pan, Qi Luo, Guihai Chen, Dapeng Liu, Jie Jiang:
AutoAttention: Automatic Field Pair Selection for Attention in User Behavior Modeling. 803-812 - Yuchen Zhou, Yanan Cao, Yanmin Shang, Chuan Zhou, Chuancheng Song, Fengzhao Shi, Qian Li:
Task-level Relations Modelling for Graph Meta-learning. 813-822 - Qingyan Zhu, Yize Chen, Hao Wang, Zhenyu Zeng, Hao Liu:
A Knowledge-Enhanced Framework for Imitative Transportation Trajectory Generation. 823-832 - Yong Zhuang, Matthew Almeida, Wei Ding, Patrick D. Flynn, Shafiqul Islam, Ping Chen:
Widening the Time Horizon: Predicting the Long-Term Behavior of Chaotic Systems. 833-842 - Florian Adriaens, Aristides Gionis:
Diameter Minimization by Shortcutting with Degree Constraints. 843-848 - Shivam Agarwal, Ramit Sawhney, Megh Thakkar, Preslav Nakov, Jiawei Han, Tyler Derr:
THINK: Temporal Hypergraph Hyperbolic Network. 849-854 - Fanghui Bi, Tiantian He, Xin Luo:
A Two-Stream Light Graph Convolution Network-based Latent Factor Model for Accurate Cloud Service QoS Estimation. 855-860 - Benedikt Böing, Simon Klüttermann, Emmanuel Müller:
Post-Robustifying Deep Anomaly Detection Ensembles by Model Selection. 861-866 - Aleksey Buzmakov, Sergei O. Kuznetsov, Tatiana Makhalova, Amedeo Napoli:
△-Closure Structure for Studying Data Distribution. 867-872 - Ioar Casado, Aritz Pérez:
Dirichlet process mixture models for non-stationary data streams. 873-878 - Tingyang Chen, Lugang Nie, Jiwei Pan, Lai Tu, Bolong Zheng, Xiang Bai:
Origin-Destination Traffic Prediction based on Hybrid Spatio-Temporal Network. 879-884 - Xiaocong Chen, Lina Yao, Xiaojun Chang, Siyu Wang:
Empowerment-driven Policy Gradient Learning with Counterfactual Augmentation in Recommender Systems. 885-890 - Yan Chen, Jingjing Gu, Fuzhen Zhuang, Xinjiang Lu, Ming Sun:
Exploiting Hierarchical Correlations for Cross-City Cross-Mode Traffic Flow Prediction. 891-896 - Yongyong Chen, Shuqin Wang, Jingyong Su, Junxin Chen:
Correntropy-Induced Tensor Learning for Multi-view Subspace Clustering. 897-902 - Ka Ho Chow, Ling Liu:
Boosting Object Detection Ensembles with Error Diversity. 903-908 - Le Dai, Yu Yin, Chuan Qin, Enhong Chen, Hui Xiong:
Decomposing Complementary and Substitutable Relations for Intercorporate Investment Recommendation. 909-914 - Qijie Ding, Daokun Zhang, Jie Yin:
Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment. 915-920 - Walid Durani, Dominik Mautz, Claudia Plant, Christian Böhm:
DBHD: Density-based clustering for highly varying density. 921-926 - Ruiyi Fang, Liangjian Wen, Zhao Kang, Jianzhuang Liu:
Structure-Preserving Graph Representation Learning. 927-932 - Zheng Fang, Ziyun Zhang, Guojie Song, Yingxue Zhang, Dong Li, Jianye Hao, Xi Wang:
Invariant Factor Graph Neural Networks. 933-938 - Yuting Feng, Bogdan Cautis:
IGNiteR: News Recommendation in Microblogging Applications. 939-944 - Davide Ferrari, Veronica Guidetti, Federica Mandreoli:
Multi-Objective Symbolic Regression for Data-Driven Scoring System Management. 945-950 - Sandra Gilhuber, Philipp Jahn, Yunpu Ma, Thomas Seidl:
VERIPS: Verified Pseudo-label Selection for Deep Active Learning. 951-956 - Chowdhury Mohammad Rakin Haider, Chris Clifton, Yan Zhou:
Unfair AI: It Isn't Just Biased Data. 957-962 - Xiao Han, Depeng Xu, Shuhan Yuan, Xintao Wu:
Few-shot Anomaly Detection and Classification Through Reinforced Data Selection. 963-968 - Jiujun He, Bin Liu, Xuan Yang:
Non-local Patch Mixup for Unsupervised Domain Adaptation. 969-974 - Hussain Hussain, Meng Cao, Sandipan Sikdar, Denis Helic, Elisabeth Lex, Markus Strohmaier, Roman Kern:
Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural Networks. 975-980 - Ajay Jaiswal, Kumar Ashutosh, Justin F. Rousseau, Yifan Peng, Zhangyang Wang, Ying Ding:
RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging. 981-986 - Shuli Jiang, Robson L. F. Cordeiro, Leman Akoglu:
D.MCA: Outlier Detection with Explicit Micro-Cluster Assignments. 987-992 - Tong Jian, Zifeng Wang, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis:
Pruning Adversarially Robust Neural Networks without Adversarial Examples. 993-998 - Masahiro Kiji, D. M. Hasibul Hasan, Alberto M. Segre, Sriram V. Pemmaraju, Bijaya Adhikari:
Near-Optimal Spectral Disease Mitigation in Healthcare Facilities. 999-1004 - Sunwoo Kim, Minyoung Choe, Jaemin Yoo, Kijung Shin:
Reciprocity in Directed Hypergraphs: Measures, Findings, and Generators. 1005-1010 - Jan Konecny, Martin Trnecka:
Boolean Matrix Factorization for Data with Symmetric Variables. 1011-1016 - Ricky Laishram, Sucheta Soundarajan:
On Finding and Analyzing the Backbone of the k-Core Structure of a Graph. 1017-1022 - Geon Lee, Chanyoung Park, Kijung Shin:
Set2Box: Similarity Preserving Representation Learning for Sets. 1023-1028 - Seungyeon Lee, Thai-Hoang Pham, Ping Zhang:
DREAM: Domain Invariant and Contrastive Representation for Sleep Dynamics. 1029-1034 - Yeon-Chang Lee, JaeHyun Lee, Dongwon Lee, Sang-Wook Kim:
THOR: Self-Supervised Temporal Knowledge Graph Embedding via Three-Tower Graph Convolutional Networks. 1035-1040 - Dingwen Li, Bing Xue, Christopher Ryan King, Bradley A. Fritz, Michael Avidan, Joanna Abraham, Chenyang Lu:
Self-explaining Hierarchical Model for Intraoperative Time Series. 1041-1046 - Xiangyu Li, Hua Wang:
On Mean-Optimal Robust Linear Discriminant Analysis. 1047-1052 - Xinshu Li, Lina Yao:
Contrastive Individual Treatment Effects Estimation. 1053-1058 - Zhixun Li, Dingshuo Chen, Qiang Liu, Shu Wu:
The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection. 1059-1064 - Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, Liang Zhao:
DeepGAR: Deep Graph Learning for Analogical Reasoning. 1065-1070 - Yue Liu, Yun Li:
Robustness May be at Odds with Stability in Adversarial Training based Feature Selection? 1071-1076 - Yingtao Luo, Zhaocheng Liu, Qiang Liu:
Deep Stable Representation Learning on Electronic Health Records. 1077-1082 - Son T. Mai, Ha T. Phi, Abdullahi Abubakar, Peter Kilpatrick, Hung Q. V. Nguyen, Hans Vandierendonck:
Dengue Fever: From Extreme Climates to Outbreak Prediction. 1083-1088 - Nicholas O. Malott, Robert R. Lewis, Philip A. Wilsey:
Homology-Separating Triangulated Euler Characteristic Curve. 1089-1094 - Chengsheng Mao, Yuan Luo:
Improving Graph Representation Learning with Distribution Preserving. 1095-1100 - Yuzhen Mao, Jianhui Sun, Dawei Zhou:
Augmenting Knowledge Transfer across Graphs. 1101-1106 - Farzan Masrour, Francisco Santos, Pang-Ning Tan, Abdol-Hossein Esfahanian:
Fairness-Aware Graph Sampling for Network Analysis. 1107-1112 - Ivan Mihov, Haiquan Chen, Xiao Qin, Wei-Shinn Ku, Da Yan, Yuhong Liu:
MentalNet: Heterogeneous Graph Representation for Early Depression Detection. 1113-1118 - Lukas Miklautz, Martin Teuffenbach, Pascal Weber, Rona Perjuci, Walid Durani, Christian Böhm, Claudia Plant:
Deep Clustering With Consensus Representations. 1119-1124 - Yuji Mo, Stephen D. Scott:
Bayesian Deep Structured Semantic Model for Sub-Linear-Time Information Retrieval. 1125-1130 - Christopher Molloy, Jeremy Banks, Steven H. H. Ding, Philippe Charland, Andrew Walenstein, Litao Li:
Adversarial Variational Modality Reconstruction and Regularization for Zero-Day Malware Variants Similarity Detection. 1131-1136 - Dongmin Park, Junhyeok Kang, Hwanjun Song, Susik Yoon, Jae-Gil Lee:
Multi-view POI-level Cellular Trajectory Reconstruction for Digital Contact Tracing of Infectious Diseases. 1137-1142 - Gaël Poux-Médard, Julien Velcin, Sabine Loudcher:
Serialized Interacting Mixed Membership Stochastic Block Model. 1143-1148 - Danil Provodin, Pratik Gajane, Mykola Pechenizkiy, Maurits Kaptein:
The Impact of Batch Learning in Stochastic Linear Bandits. 1149-1154 - Lennart Purucker, Felix I. Stamm, Florian Lemmerich, Joeran Beel:
Estimating the Pruned Search Space Size of Subgroup Discovery. 1155-1160 - Gopikrishna Rathinavel, Nikhil Muralidhar, Timothy J. O'Shea, Naren Ramakrishnan:
Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback. 1161-1166 - Shaogang Ren, Dingcheng Li, Ping Li:
Causal Effect Prediction with Flow-based Inference. 1167-1172 - Mirza Tanzim Sami, Da Yan, Bhadhan Roy Joy, Jalal Khalil, Ricardo Cevallos, Md. Emon Hossain, Kejin Hu, Yang Zhou:
Center-Based iPSC Colony Counting with Multi-Task Learning. 1173-1178 - Maryam Shahcheraghi, Ryan Mercer, João Manuel De Almeida Rodrigues, Audrey Der, Hugo Filipe Silveira Gamboa, Zachary Zimmerman, Eamonn J. Keogh:
Matrix Profile XXVI: Mplots: Scaling Time Series Similarity Matrices to Massive Data. 1179-1184 - Pengxiang Shi, Xuan Dang, Wenwen Ye, Zhipeng Li, Zheng Qin:
MRM2: Multi-Relationship Modeling Module for Multivariate Time Series Classification. 1185-1190 - Kohei Ueda, Yuichi Ike, Kenji Yamanishi:
Change Detection with Probabilistic Models on Persistence Diagrams. 1191-1196 - Tianchun Wang, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang:
Personalized Federated Learning via Heterogeneous Modular Networks. 1197-1202 - Tianqi Wang, Fenglong Ma, Yaqing Wang, Jing Gao:
Heterogeneous Information Enhanced Prerequisite Learning in Massive Open Online Courses. 1203-1208 - Wentao Wang, Han Xu, Xiaorui Liu, Yaxin Li, Bhavani Thuraisingham, Jiliang Tang:
Imbalanced Adversarial Training with Reweighting. 1209-1214 - Yizhou Wang, Can Qin, Yue Bai, Yi Xu, Xu Ma, Yun Fu:
Making Reconstruction-based Method Great Again for Video Anomaly Detection. 1215-1220 - Ryan Wickman, Xiaofei Zhang, Weizi Li:
A Generic Graph Sparsification Framework using Deep Reinforcement Learning. 1221-1226 - Longfeng Wu, Yao Zhou, Dawei Zhou:
Towards High-Order Complementary Recommendation via Logical Reasoning Network. 1227-1232 - Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe:
Cost-Effective Transfer Learning for Data Streams. 1233-1238 - Xinyi Wu, Arnab Sarker, Ali Jadbabaie:
Link Partitioning on Simplicial Complexes Using Higher-Order Laplacians. 1239-1244 - Wenhan Xian, Feihu Huang, Heng Huang:
Communication-Efficient Adam-Type Algorithms for Distributed Data Mining. 1245-1250 - Haolong Xiang, Hongsheng Hu, Xuyun Zhang:
DeepiForest: A Deep Anomaly Detection Framework with Hashing Based Isolation Forest. 1251-1256 - Xinyu Xiao, Qizhao Jin, Gaofeng Meng, Shiming Xiang, Chunhong Pan:
Spatiotemporal Contextual Consistency Network for Precipitation Nowcasting. 1257-1262 - Junjie Xu, Enyan Dai, Xiang Zhang, Suhang Wang:
HP-GMN: Graph Memory Networks for Heterophilous Graphs. 1263-1268 - Ke Xu, Ziliang Wang, Wei Zheng, Yuhao Ma, Chenglin Wang, Nengxue Jiang, Cai Cao:
A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning. 1269-1274 - Zhao Xu, Carolin Lawrence, Ammar Shaker, Raman Siarheyeu:
Uncertainty Propagation in Node Classification. 1275-1280 - Naganand Yadati:
A Convex Formulation for Graph Convolutional Training: Two Layer Case. 1281-1286 - Yujun Yan, Milad Hashemi, Kevin Swersky, Yaoqing Yang, Danai Koutra:
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks. 1287-1292 - Dazhou Yu, Guangji Bai, Yun Li, Liang Zhao:
Deep Spatial Domain Generalization. 1293-1298 - Shuyang Yu, Zhuangdi Zhu, Boyang Liu, Anil K. Jain, Jiayu Zhou:
Robust Unsupervised Domain Adaptation from A Corrupted Source. 1299-1304 - Kaixin Yuan, Jing Liu, Jian Lou:
Higher-Order Masked Graph Neural Networks for Traffic Flow Prediction. 1305-1310 - Li Zhang, Yan Zhu, Yifeng Gao, Jessica Lin:
Robust Time Series Chain Discovery with Incremental Nearest Neighbors. 1311-1316 - Yanfu Zhang, Runxue Bao, Jian Pei, Heng Huang:
Toward Unified Data and Algorithm Fairness via Adversarial Data Augmentation and Adaptive Model Fine-tuning. 1317-1322 - Yang Zhang, Gengmo Zhou, Zhewei Wei, Hongteng Xu:
Predicting Protein-Ligand Binding Affinity via Joint Global-Local Interaction Modeling. 1323-1328 - Yuheng Zhang, Yinglong Xia, Yan Zhu, Yuejie Chi, Lei Ying, Hanghang Tong:
Active Heterogeneous Graph Neural Networks with Per-step Meta-Q-Learning. 1329-1334 - Xikun Zhang, Dongjin Song, Dacheng Tao:
Sparsified Subgraph Memory for Continual Graph Representation Learning. 1335-1340 - Sinong Zhao, Zhaoyang Yu, Trent G. Marbach, Gang Wang, Xiaoguang Liu:
MSDN: A Multi-Subspace Deviation Net for Anomaly Detection. 1341-1346 - Guangtao Zheng, Aidong Zhang:
Knowledge-Guided Semantics Adjustment for Improved Few-Shot Classification. 1347-1352 - Haodi Zhong, Grigorios Loukides, Alessio Conte, Solon P. Pissis:
Jaccard Median for Ego-network Segmentation. 1353-1358
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the dblp computer science bibliography is funded and supported by:
