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2022 IEEE International Conference on Data Mining (ICDM)

Nov. 28 2022 to Dec. 1 2022

Orlando, FL, USA

ISBN: 978-1-6654-5099-7

Table of Contents

pp. 1-1

pp. 3-3

pp. 4-4

Table of Contents

pp. 5-25

Message from the ICDM 2022 General Chairs

pp. 26-27

Message from the ICDM 2022 Program Committee Chairs

pp. 28-29

Organizing Committee

pp. 30-31

Area Chairs and Program Committee

pp. 32-41

pp. 42-44

STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19

pp. 1-10

by Han Bao, Xun Zhou, Yiqun Xie, Yanhua Li, Xiaowei Jia

Which Companies are Likely to Invest: Knowledge-graph-based Recommendation for Investment Promotion

pp. 11-20

by Chenyang Bu, Jiawei Zhang, Xingchen Yu, Le Wu, Xindong Wu

TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets

pp. 21-30

by Yuanying Cai, Chuheng Zhang, Li Zhao, Wei Shen, Xuyun Zhang, Lei Song, Jiang Bian, Tao Qin, Tieyan Liu

Federated Fingerprint Learning with Heterogeneous Architectures

pp. 31-40

by Tianshi Che, Zijie Zhang, Yang Zhou, Xin Zhao, Ji Liu, Zhe Jiang, Da Yan, Ruoming Jin, Dejing Dou

Robust Structure-aware Semi-supervised Learning

pp. 41-50

Projection Dual Averaging Based Second-order Online Learning

pp. 51-60

by Zhong Chen, Huixin Zhan, Victor Sheng, Andrea Edwards, Kun Zhang

Contractible Regularization for Federated Learning on Non-IID Data

pp. 61-70

by Zifan Chen, Zhe Wu, Xian Wu, Li Zhang, Jie Zhao, Yangtian Yan, Yefeng Zheng

Concise and interpretable multi-label rule sets

pp. 71-80

by Martino Ciaperoni, Han Xiao, Aristides Gionis

MedSkim: Denoised Health Risk Prediction via Skimming Medical Claims Data

pp. 81-90

by Suhan Cui, Junyu Luo, Muchao Ye, Jiaqi Wang, Ting Wang, Fenglong Ma

Causality Enhanced Societal Event Forecasting With Heterogeneous Graph Learning

pp. 91-100

by Songgaojun Deng, Huzefa Rangwala, Yue Ning

Class-Specific Explainability for Deep Time Series Classifiers

pp. 101-110

by Ramesh Doddaiah, Prathyush Parvatharaju, Elke Rundensteiner, Thomas Hartvigsen

Hypernode: Entity Fusion for Data Traceability and Link Prediction

pp. 111-120

by Bingbing Dong, Zan Zhang, Jiao Li, Yi Zhu, Chenyang Bu, Xindong Wu

Conditional Independence Testing via Latent Representation Learning

pp. 121-130

by Bao Duong, Thin Nguyen

FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation

pp. 131-140

by Ziqing Fan, Yanfeng Wang, Jiangchao Yao, Lingjuan Lyu, Ya Zhang, Qi Tian

Towards Feature Distribution Alignment and Diversity Enhancement for Data-Free Quantization

pp. 141-150

by Yangcheng Gao, Zhao Zhang, Richang Hong, Haijun Zhang, Jicong Fan, Shuicheng Yan

Enhancing Robust Text Classification via Category Description

pp. 151-160

by Xin Gao, Zhengye Zhu, Xu Chu, Yasha Wang, Wenjie Ruan, Junfeng Zhao

Meta-Transfer Learning: An application to Streamflow modeling in River-streams

pp. 161-170

by Rahul Ghosh, Bangyan Li, Kshitij Tayal, Vipin Kumar, Xiaowei Jia

Text-enhanced Multi-Granularity Temporal Graph Learning for Event Prediction

pp. 171-180

by Xiaoxue Han, Yue Ning

Structural Robust Label Propagation on Homogeneous Graphs

pp. 181-190

by Qiuting He, Jinsong Chen, Hao Xu, Kun He

Privacy-Preserved Neural Graph Similarity Learning

pp. 191-200

by Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen

GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation

pp. 201-210

by Han Huang, Leilei Sun, Bowen Du, Yanjie Fu, Weifeng Lv

Deep Geometrical Learning for Alzheimer’s Disease Progression Modeling

pp. 211-220

by Seungwoo Jeong, Wonsik Jung, Junghyo Sohn, Heung-Il Suk

Kernel-based Substructure Exploration for Next POI Recommendation

pp. 221-230

by Wei Ju, Yifang Qin, Ziyue Qiao, Xiao Luo, Yifan Wang, Yanjie Fu, Ming Zhang

CC-GNN: A Community and Contraction-based Graph Neural Network

pp. 231-240

by Zhiyuan Li, Xun Jian, Yue Wang, Lei Chen

Kernel-based Hybrid Interpretable Transformer for High-frequency Stock Movement Prediction

pp. 241-250

by Fan Lin, Pengfei Li, Yuanguo Lin, Zhennan Chen, Huanyu You, Shibo Feng

Inconsistency Distillation For Consistency:Enhancing Multi-View Clustering via Mutual Contrastive Teacher-Student Leaning

pp. 251-258

by Dunqiang Liu, Shu-Juan Peng, Xin Liu, Lei Zhu, Zhen Cui, Taihao Li

DAGAD: Data Augmentation for Graph Anomaly Detection

pp. 259-268

by Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal

A Cognitive Solver with Autonomously Knowledge Learning for Reasoning Mathematical Answers

pp. 269-278

by Jiayu Liu, Zhenya Huang, Xin Lin, Qi Liu, Jianhui Ma, Enhong Chen

Temporal Knowledge Graph Reasoning via Time-Distributed Representation Learning

pp. 279-288

by Kangzheng Liu, Feng Zhao, Guandong Xu, Xianzhi Wang, Hai Jin

One Person, One Model—Learning Compound Router for Sequential Recommendation

pp. 289-298

by Zhiding Liu, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen

Learning from the Multi-Level Abstraction of the Control Flow Graph via Alternating Propagation for Bug Localization

pp. 299-308

by Yi-Fan Ma, Ming Li

HyperKGQA: Question Answering over Knowledge Graphs using Hyperbolic Representation Learning

pp. 309-318

by Nadya Abdel Madjid, Ola El Khatib, Shuang Gao, Djellel Difallah

Extremely Fast Hoeffding Adaptive Tree

pp. 319-328

by Chaitanya Manapragada, Mahsa Salehi, Geoffrey I Webb

HiGIL: Hierarchical Graph Inference Learning for Fact Checking

pp. 329-337

by Qianren Mao, Yiming Wang, Chenghong Yang, Linfeng Du, Hao Peng, Jia Wu, Jianxin Li, Zheng Wang

Matrix Profile XXV: Introducing Novelets: A Primitive that Allows Online Detection of Emerging Behaviors in Time Series

pp. 338-347

by Ryan Mercer, Eamonn Keogh

Multi-Graph Convolutional Recurrent Network for Fine-Grained Lane-Level Traffic Flow Imputation

pp. 348-357

by Jingci Ming, Le Zhang, Wei Fan, Weijia Zhang, Yu Mei, Weicen Ling, Hui Xiong

Revisiting Link Prediction on Heterogeneous Graphs with a Multi-view Perspective

pp. 358-367

by Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran

Query-Efficient Target-Agnostic Black-Box Attack

pp. 368-377

by Raha Moraffah, Huan Liu

A Large-Scale Ensemble Learning Framework for Demand Forecasting

pp. 378-387

by Young-Jin Park, Donghyun Kim, Frédéric Odermatt, Juho Lee, Kyung-Min Kim

Backpropagation-free Graph Neural Networks

pp. 388-397

by Luca Pasa, Nicolò Navarin, Wolfgang Erb, Alessandro Sperduti

Contrastive Code-Comment Pre-training

pp. 398-407

by Xiaohuan Pei, Daochang Liu, Luo Qian, Chang Xu

Self-Attention Gated Cognitive Diagnosis For Faster Adaptive Educational Assessments

pp. 408-417

by Xiaohuan Pei, Shuo Yang, Jiajun Huang, Chang Xu

Alice and the Caterpillar: A More Descriptive Null Model for Assessing Data Mining Results

pp. 418-427

by Giulia Preti, Gianmarco de Francisci Morales, Matteo Riondato

Beyond Double Ascent via Recurrent Neural Tangent Kernel in Sequential Recommendation

pp. 428-437

by Ruihong Qiu, Zi Huang, Hongzhi Yin

Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective

pp. 438-447

by Weijieying Ren, Lei Wang, Kunpeng Liu, Ruocheng Guo, Lim Ee Peng, Yanjie Fu

Towards Scalable and Fast Distributionally Robust Optimization for Data-Driven Deep Learning

pp. 448-457

by Xuli Shen, Xiaomei Wang, Qing Xu, Weifeng Ge, Xiangyang Xue

AutoAssign: Automatic Shared Embedding Assignment in Streaming Recommendation

pp. 458-467

by Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang

ABN: Anti-Blur Neural Networks for Multi-Stage Deformable Image Registration

pp. 468-477

by Yao Su, Xin Dai, Lifang He, Xiangnan Kong

Few-shot Partial Multi-label Learning with Data Augmentation

pp. 478-487

by Yifan Sun, Yunfeng Zhao, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi

NeuCEPT: Learn Neural Networks’ Mechanism via Critical Neurons with Precision Guarantee

pp. 488-497

by Minh N. Vu, Truc D. Nguyen, My T. Thai

GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs

pp. 498-507

by Binghui Wang, Ang Li, Meng Pang, Hai Li, Yiran Chen

FineFormer: Fine-Grained Adaptive Object Transformer for Image Captioning

pp. 508-517

by Bo Wang, Zhao Zhang, Jicong Fan, Mingbo Zhao, Choujun Zhan, Mingliang Xu

Countering Modal Redundancy and Heterogeneity: A Self-Correcting Multimodal Fusion

pp. 518-527

by Pengkun Wang, Xu Wang, Binwu Wang, Yudong Zhang, Lei Bai, Yang Wang

Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation

pp. 528-537

by Yuecen Wei, Xingcheng Fu, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li

Efficient Semi-Supervised Adversarial Training without Guessing Labels

pp. 538-547

by Huimin Wu, William Vazelhes, Bin Gu

GraphBERT: Bridging Graph and Text for Malicious Behavior Detection on Social Media

pp. 548-557

by Jiele Wu, Chunhui Zhang, Zheyuan Liu, Erchi Zhang, Steven Wilson, Chuxu Zhang

GRANDE: a neural model over directed multigraphs with application to anti-money laundering

pp. 558-567

by Ruofan Wu, Boqun Ma, Hong Jin, Wenlong Zhao, Weiqiang Wang, Tianyi Zhang

TENALIGN: Joint Tensor Alignment and Coupled Factorization

pp. 568-577

by Yunshu Wu, Uday Singh Saini, Jia Chen, Evangelos E. Papalexakis

Fast Stochastic Recursive Momentum Methods for Imbalanced Data Mining

pp. 578-587

by Xidong Wu, Feihu Huang, Heng Huang

Efficient Navigation for Constrained Shortest Path with Adaptive Expansion Control

pp. 588-597

by Wenwen Xia, Yuchen Li, Wentian Guo, Shenghong Li

MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation

pp. 598-607

by 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

Generalized Few-Shot Node Classification

pp. 608-617

by Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong

Neuro-symbolic Models for Interpretable Time Series Classification using Temporal Logic Description

pp. 618-627

by Ruixuan Yan, Tengfei Ma, Achille Fokoue, Maria Chang, Agung Julius

A Bi-directional Recommender System for Online Recruitment

pp. 628-637

by Zhe-Rui Yang, Zhen-Yu He, Chang-Dong Wang, Pei-Yuan Lai, De-Zhang Liao, Zhong-Zheng Wang

Privacy-Preserving Split Learning via Patch Shuffling over Transformers

pp. 638-647

by Dixi Yao, Liyao Xiang, Hengyuan Xu, Hangyu Ye, Yingqi Chen

Detach and Enhance: Learning Disentangled Cross-modal Latent Representation for Efficient Face-Voice Association and Matching

pp. 648-655

by Zhenning Yu, Xin Liu, Yiu-Ming Cheung, Minghang Zhu, Xing Xu, Nannan Wang, Taihao Li

Neural Network Driven by Space-time Partial Differential Equation for Predicting Sea Surface Temperature

pp. 656-665

by Taikang Yuan, Junxing Zhu, Kaijun Ren, Wuxin Wang, Xiang Wang, Xiaoyong Li

Dimensionality Selection of Hyperbolic Graph Embeddings using Decomposed Normalized Maximum Likelihood Code-Length

pp. 666-675

by Ryo Yuki, Yuichi Ike, Kenji Yamanishi

Coresets remembered and items forgotten: submodular maximization with deletions

pp. 676-685

by Guangyi Zhang, Nikolaj Tatti, Aristides Gionis

A Unified Guaranteed Impression Allocation Framework for Online Display Advertising

pp. 686-694

by Hong Zhang, Lan Zhang, Ju Huang, Anran Li, Haoran Cheng, Dongbo Huang, Lan Xu

Rethinking Symmetric Matrix Factorization: A More General and Better Clustering Perspective

pp. 695-702

by Mengyuan Zhang, Kai Liu

A Dynamic Variational Framework for Open-World Node Classification in Structured Sequences

pp. 703-712

by Qin Zhang, Qincai Li, Xiaojun Chen, Peng Zhang, Shirui Pan, Philippe Fournier-Viger, Joshua Zhexue Huang

Learning Representations from Local to Global for Fine-grained Patient Similarity Measuring in Intensive Care Unit

pp. 713-722

by Xianli Zhang, Buyue Qian, Yang Li, Zeyu Gao, Chong Guan, Renzhen Wang, Yefeng Zheng, Hansen Zheng, Chen Li

Feature-Oriented Sampling for Fast and Scalable GNN Training

pp. 723-732

by Xin Zhang, Yanyan Shen, Lei Chen

Mest-GAN: Cross-City Urban Traffic Estimation with Me ta S patial-T emporal G enerative A dversarial N etworks

pp. 733-742

by Yingxue Zhang, Yanhua Li, Xun Zhou, Jun Luo

STrans-GAN: Spatially-Transferable Generative Adversarial Networks for Urban Traffic Estimation

pp. 743-752

by Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo

Unsupervised Deep Subgraph Anomaly Detection

pp. 753-762

by Zheng Zhang, Liang Zhao

How Out-of-Distribution Data Hurts Semi-Supervised Learning

pp. 763-772

by Xujiang Zhao, Killamsetty Krishnateja, Rishabh Iyer, Feng Chen

Toward Unsupervised Outlier Model Selection

pp. 773-782

by Yue Zhao, Sean Zhang, Leman Akoglu

Multi-Relational Graph Neural Architecture Search with Fine-grained Message Passing

pp. 783-792

by Xin Zheng, Miao Zhang, Chunyang Chen, Chaojie Li, Chuan Zhou, Shirui Pan

Unifying Graph Contrastive Learning with Flexible Contextual Scopes

pp. 793-802

by Yizhen Zheng, Yu Zheng, Xiaofei Zhou, Chen Gong, Vincent Cs Lee, Shirui Pan

AutoAttention: Automatic Field Pair Selection for Attention in User Behavior Modeling

pp. 803-812

by Zuowu Zheng, Xiaofeng Gao, Junwei Pan, Qi Luo, Guihai Chen, Dapeng Liu, Jie Jiang

Task-level Relations Modelling for Graph Meta-learning

pp. 813-822

by Yuchen Zhou, Yanan Cao, Yanmin Shang, Chuan Zhou, Chuancheng Song, Fengzhao Shi, Qian Li

A Knowledge-Enhanced Framework for Imitative Transportation Trajectory Generation

pp. 823-832

by Qingyan Zhu, Yize Chen, Hao Wang, Zhenyu Zeng, Hao Liu

Widening the Time Horizon: Predicting the Long-Term Behavior of Chaotic Systems

pp. 833-842

by Yong Zhuang, Matthew Almeida, Wei Ding, Patrick D Flynn, Shafiqul Islam, Ping Chen

Diameter Minimization by Shortcutting with Degree Constraints

pp. 843-848

by Florian Adriaens, Aristides Gionis

THINK: Temporal Hypergraph Hyperbolic Network

pp. 849-854

by Shivam Agarwal, Ramit Sawhney, Megh Thakkar, Preslav Nakov, Jiawei Han, Tyler Derr

A Two-Stream Light Graph Convolution Network-based Latent Factor Model for Accurate Cloud Service QoS Estimation

pp. 855-860

by Fanghui Bi, Tiantian He, Xin Luo

Post-Robustifying Deep Anomaly Detection Ensembles by Model Selection

pp. 861-866

by Benedikt Böing, Simon Klüttermann, Emmanuel Müller

△-Closure Structure for Studying Data Distribution

pp. 867-872

by Aleksey Buzmakov, Sergei O. Kuznetsov, Tatiana Makhalova, Amedeo Napoli

Dirichlet process mixture models for non-stationary data streams

pp. 873-878

by Ioar Casado, Aritz Pérez

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