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16th WSDM 2023: Singapore
- Tat-Seng Chua, Hady W. Lauw, Luo Si, Evimaria Terzi, Panayiotis Tsaparas:
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023. ACM 2023, ISBN 978-1-4503-9407-9
Keynote Talks
- Ya-Qin Zhang
:
Towards Autonomous Driving. 1 - Maarten de Rijke
:
Beyond-Accuracy Goals, Again. 2-3 - Rosie Jones:
Learning to Understand Audio and Multimodal Content. 4-5
Session 1: Social Issues in Data Mining
- Nikita Bhalla
, Adam Lechowicz
, Cameron Musco
:
Local Edge Dynamics and Opinion Polarization. 6-14 - Sunyoung Park
, Kyuri Choi
, Haeun Yu
, Youngjoong Ko
:
Never Too Late to Learn: Regularizing Gender Bias in Coreference Resolution. 15-23 - Tao Yang
, Zhichao Xu
, Zhenduo Wang
, Anh Tran
, Qingyao Ai
:
Marginal-Certainty-Aware Fair Ranking Algorithm. 24-32 - Rishav Hada
, Amir Ebrahimi Fard
, Sarah Shugars
, Federico Bianchi
, Patrícia G. C. Rossini
, Dirk Hovy
, Rebekah Tromble
, Nava Tintarev
:
Beyond Digital "Echo Chambers": The Role of Viewpoint Diversity in Political Discussion. 33-41 - Srinivas Virinchi
, Anoop Saladi
:
BLADE: Biased Neighborhood Sampling based Graph Neural Network for Directed Graphs. 42-50 - Xing Su
, Jian Yang
, Jia Wu
, Yuchen Zhang
:
Mining User-aware Multi-relations for Fake News Detection in Large Scale Online Social Networks. 51-59
Session 2: Recommender Systems I
- Li He
, Xianzhi Wang
, Dingxian Wang
, Haoyuan Zou
, Hongzhi Yin
, Guandong Xu
:
Simplifying Graph-based Collaborative Filtering for Recommendation. 60-68 - Kang Li
, Chang-Dong Wang
, Jian-Huang Lai
, Huaqiang Yuan
:
Self-Supervised Group Graph Collaborative Filtering for Group Recommendation. 69-77 - Jiangxia Cao
, Shaoshuai Li
, Bowen Yu
, Xiaobo Guo
, Tingwen Liu
, Bin Wang
:
Towards Universal Cross-Domain Recommendation. 78-86 - Mozhdeh Ariannezhad
, Ming Li
, Sebastian Schelter
, Maarten de Rijke
:
A Personalized Neighborhood-based Model for Within-basket Recommendation in Grocery Shopping. 87-95 - Riwei Lai
, Li Chen
, Yuhan Zhao
, Rui Chen
, Qilong Han
:
Disentangled Negative Sampling for Collaborative Filtering. 96-104 - Mukun Chen
, Xiuwen Gong
, YH Jin
, Wenbin Hu
:
Relation Preference Oriented High-order Sampling for Recommendation. 105-113
Session 3: Graph Neural Networks
- Zhenyu Yang
, Ge Zhang
, Jia Wu
, Jian Yang
, Quan Z. Sheng
, Hao Peng
, Angsheng Li
, Shan Xue
, Jianlin Su
:
Minimum Entropy Principle Guided Graph Neural Networks. 114-122 - Cheng Yang
, Yuxin Guo
, Yao Xu
, Chuan Shi
, Jiawei Liu
, Chunchen Wang
, Xin Li
, Ning Guo
, Hongzhi Yin
:
Learning to Distill Graph Neural Networks. 123-131 - Wendong Bi
, Lun Du
, Qiang Fu
, Yanlin Wang
, Shi Han
, Dongmei Zhang
:
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution. 132-140 - Zexi Huang
, Mert Kosan
, Sourav Medya
, Sayan Ranu
, Ambuj K. Singh
:
Global Counterfactual Explainer for Graph Neural Networks. 141-149 - Xinlei Wang
, Jinyi Chen
, Bing Tian Dai
, Junchang Xin
, Yu Gu
, Ge Yu
:
Effective Graph Kernels for Evolving Functional Brain Networks. 150-158 - Jianan Zhao
, Qianlong Wen
, Mingxuan Ju
, Chuxu Zhang
, Yanfang Ye
:
Self-Supervised Graph Structure Refinement for Graph Neural Networks. 159-167
Session 4: Best of WSDM 2023
- Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie
, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim:
Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network. 168-176 - John Pougué-Biyong
, Akshay Gupta
, Aria Haghighi
, Ahmed El-Kishky
:
Learning Stance Embeddings from Signed Social Graphs. 177-185 - Tianchi Cai
, Jiyan Jiang
, Wenpeng Zhang
, Shiji Zhou
, Xierui Song
, Li Yu
, Lihong Gu
, Xiaodong Zeng
, Jinjie Gu
, Guannan Zhang
:
Marketing Budget Allocation with Offline Constrained Deep Reinforcement Learning. 186-194 - Hongrui Xuan
, Yi Liu
, Bohan Li
, Hongzhi Yin
:
Knowledge Enhancement for Contrastive Multi-Behavior Recommendation. 195-203
Session 5: Recommender Systems II
- Jiarui Qin
, Jiachen Zhu
, Yankai Liu
, Junchao Gao, Jianjie Ying, Chaoxiong Liu, Ding Wang, Junlan Feng, Chao Deng, Xiaozheng Wang, Jian Jiang, Cong Liu, Yong Yu, Haitao Zeng, Weinan Zhang:
Learning to Distinguish Multi-User Coupling Behaviors for TV Recommendation. 204-212 - Hongwei Tang
, Detian Zhang
:
Range Restricted Route Recommendation Based on Spatial Keyword. 213-221 - Zhendong Chu
, Hongning Wang
, Yun Xiao
, Bo Long
, Lingfei Wu
:
Meta Policy Learning for Cold-Start Conversational Recommendation. 222-230 - Xiaoyu Zhang
, Xin Xin
, Dongdong Li
, Wenxuan Liu
, Pengjie Ren
, Zhumin Chen
, Jun Ma
, Zhaochun Ren
:
Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation. 231-239 - Wei Cai
, Fuli Feng
, Qifan Wang
, Tian Yang
, Zhenguang Liu
, Congfu Xu
:
A Causal View for Item-level Effect of Recommendation on User Preference. 240-248 - Jianchao Ji
, Zelong Li
, Shuyuan Xu
, Max Xiong
, Juntao Tan
, Yingqiang Ge
, Hao Wang
, Yongfeng Zhang
:
Counterfactual Collaborative Reasoning. 249-257
Session 6: Learning
- Kunal Dahiya
, Nilesh Gupta
, Deepak Saini
, Akshay Soni
, Yajun Wang
, Kushal Dave
, Jian Jiao
, Gururaj K
, Prasenjit Dey
, Amit Singh
, Deepesh Hada
, Vidit Jain
, Bhawna Paliwal
, Anshul Mittal
, Sonu Mehta
, Ramachandran Ramjee
, Sumeet Agarwal
, Purushottam Kar
, Manik Varma
:
NGAME: Negative Mining-aware Mini-batching for Extreme Classification. 258-266 - Xuanhao Chen
, Liwei Deng
, Yan Zhao
, Kai Zheng
:
Adversarial Autoencoder for Unsupervised Time Series Anomaly Detection and Interpretation. 267-275 - Song Wang
, Yushun Dong
, Kaize Ding
, Chen Chen
, Jundong Li
:
Few-shot Node Classification with Extremely Weak Supervision. 276-284 - Donghyun Son
, Byounggyu Lew
, Kwanghee Choi
, Yongsu Baek
, Seungwoo Choi
, Beomjun Shin
, Sungjoo Ha
, Buru Chang
:
Reliable Decision from Multiple Subtasks through Threshold Optimization: Content Moderation in the Wild. 285-293 - Xu Wang
, Lianliang Chen
, Hongbo Zhang
, Pengkun Wang, Zhengyang Zhou
, Yang Wang
:
A Multi-graph Fusion Based Spatiotemporal Dynamic Learning Framework. 294-302 - Chakib Fettal
, Lazhar Labiod
, Mohamed Nadif
:
Simultaneous Linear Multi-view Attributed Graph Representation Learning and Clustering. 303-311
Session 7: Graph Mining
- Suman K. Bera
, Jayesh Choudhari
, Shahrzad Haddadan
, Sara Ahmadian
:
DeMEtRIS: Counting (near)-Cliques by Crawling. 312-320 - Qiang Yang, Changsheng Ma
, Qiannan Zhang, Xin Gao, Chuxu Zhang, Xiangliang Zhang
:
Interpretable Research Interest Shift Detection with Temporal Heterogeneous Graphs. 321-329 - Zequan Xu
, Lianyun Li
, Hui Li
, Qihang Sun
, Shaofeng Hu
, Rongrong Ji
:
Self-supervised Graph Representation Learning for Black Market Account Detection. 330-338 - Yixin Liu
, Kaize Ding
, Huan Liu
, Shirui Pan
:
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection. 339-347 - Yiwei Wang
, Bryan Hooi, Yozen Liu, Neil Shah:
Graph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and Accurate Inference. 348-356 - Yuan Gao
, Xiang Wang
, Xiangnan He
, Zhenguang Liu
, Huamin Feng
, Yongdong Zhang
:
Alleviating Structural Distribution Shift in Graph Anomaly Detection. 357-365
Session 8: Recommendation and Learning
- Chenglin Li
, Yuanzhen Xie
, Chenyun Yu
, Bo Hu
, Zang Li
, Guoqiang Shu
, Xiaohu Qie
, Di Niu
:
One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation. 366-374 - Liwei Deng
, Hao Sun
, Yan Zhao
, Shuncheng Liu
, Kai Zheng
:
S2TUL: A Semi-Supervised Framework for Trajectory-User Linking. 375-383 - Feifan Li
, Lun Du
, Qiang Fu
, Shi Han
, Yushu Du
, Guangming Lu
, Zi Li
:
DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social Platforms. 384-392 - Wei Yuan
, Hongzhi Yin
, Fangzhao Wu
, Shijie Zhang
, Tieke He
, Hao Wang:
Federated Unlearning for On-Device Recommendation. 393-401 - Qingyu Bing
, Qiannan Zhu
, Zhicheng Dou
:
Cognition-aware Knowledge Graph Reasoning for Explainable Recommendation. 402-410 - Xuewei Li, Aitong Sun, Mankun Zhao, Jian Yu, Kun Zhu, Di Jin, Mei Yu, Ruiguo Yu:
Multi-Intention Oriented Contrastive Learning for Sequential Recommendation. 411-419
Session 9: Language Models and Text Mining
- Noriaki Kawamae
:
Friendly Conditional Text Generator. 420-428 - Yu Zhang
, Yunyi Zhang
, Martin Michalski
, Yucheng Jiang
, Yu Meng
, Jiawei Han:
Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts. 429-437 - Ziyun Xu
, Chengyu Wang
, Minghui Qiu
, Fuli Luo
, Runxin Xu
, Songfang Huang
, Jun Huang
:
Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning. 438-446 - Lilong Wen
, Yingrong Wang
, Dongxiang Zhang
, Gang Chen
:
Visual Matching is Enough for Scene Text Retrieval. 447-455 - Xiaodan Wang
, Lei Li
, Zhixu Li
, Xuwu Wang
, Xiangru Zhu
, Chengyu Wang
, Jun Huang
, Yanghua Xiao
:
AGREE: Aligning Cross-Modal Entities for Image-Text Retrieval Upon Vision-Language Pre-trained Models. 456-464 - Yuyan Chen, Zhixu Li, Jiaqing Liang, Yanghua Xiao, Bang Liu, Yunwen Chen:
Can Pre-trained Language Models Understand Chinese Humor? 465-480
Poster Session
- Jing Du
, Zesheng Ye
, Bin Guo
, Zhiwen Yu
, Lina Yao
:
IDNP: Interest Dynamics Modeling Using Generative Neural Processes for Sequential Recommendation. 481-489 - Xiaoying Zhang
, Hongning Wang
, Hang Li
:
Disentangled Representation for Diversified Recommendations. 490-498 - Yi Ren
, Xiao Han
, Xu Zhao
, Shenzheng Zhang
, Yan Zhang
:
Slate-Aware Ranking for Recommendation. 499-507 - Yifang Qin
, Yifan Wang
, Fang Sun
, Wei Ju
, Xuyang Hou
, Zhe Wang
, Jia Cheng
, Jun Lei
, Ming Zhang
:
DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation. 508-516 - Senrong Xu
, Liangyue Li
, Yuan Yao
, Zulong Chen
, Han Wu
, Quan Lu
, Hanghang Tong
:
MUSENET: Multi-Scenario Learning for Repeat-Aware Personalized Recommendation. 517-525 - Lingyun Lu
, Bang Wang
, Zizhuo Zhang
, Shenghao Liu
, Han Xu
:
VRKG4Rec: Virtual Relational Knowledge Graph for Recommendation. 526-534 - Hao Wang
, Yao Xu
, Cheng Yang
, Chuan Shi
, Xin Li
, Ning Guo
, Zhiyuan Liu
:
Knowledge-Adaptive Contrastive Learning for Recommendation. 535-543 - Mengru Chen
, Chao Huang
, Lianghao Xia
, Wei Wei
, Yong Xu
, Ronghua Luo
:
Heterogeneous Graph Contrastive Learning for Recommendation. 544-552 - Zihao Li
, Xianzhi Wang
, Chao Yang
, Lina Yao
, Julian J. McAuley
, Guandong Xu
:
Exploiting Explicit and Implicit Item relationships for Session-based Recommendation. 553-561 - Jingkun Wang
, Yongtao Jiang
, Haochen Li
, Wen Zhao
:
Improving News Recommendation with Channel-Wise Dynamic Representations and Contrastive User Modeling. 562-570 - Himan Abdollahpouri
, Zahra Nazari
, Alex Gain
, Clay Gibson
, Maria Dimakopoulou
, Jesse Anderton
, Benjamin A. Carterette
, Mounia Lalmas
, Tony Jebara
:
Calibrated Recommendations as a Minimum-Cost Flow Problem. 571-579 - Romain Deffayet
, Thibaut Thonet
, Jean-Michel Renders
, Maarten de Rijke
:
Generative Slate Recommendation with Reinforcement Learning. 580-588 - Boyu Li
, Ting Guo
, Xingquan Zhu
, Qian Li
, Yang Wang
, Fang Chen
:
SGCCL: Siamese Graph Contrastive Consensus Learning for Personalized Recommendation. 589-597 - Chenxu Zhu
, Bo Chen
, Huifeng Guo
, Hang Xu
, Xiangyang Li
, Xiangyu Zhao
, Weinan Zhang
, Yong Yu
, Ruiming Tang
:
AutoGen: An Automated Dynamic Model Generation Framework for Recommender System. 598-606 - Siyi Qian
, Haochao Ying
, Renjun Hu
, Jingbo Zhou
, Jintai Chen
, Danny Z. Chen
, Jian Wu
:
Robust Training of Graph Neural Networks via Noise Governance. 607-615 - Junfeng Fang
, Xiang Wang
, An Zhang
, Zemin Liu
, Xiangnan He
, Tat-Seng Chua
:
Cooperative Explanations of Graph Neural Networks. 616-624 - Qiaoyu Tan
, Xin Zhang
, Ninghao Liu
, Daochen Zha
, Li Li
, Rui Chen
, Soo-Hyun Choi
, Xia Hu
:
Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection. 625-633 - Tianxiang Zhao
, Dongsheng Luo
, Xiang Zhang
, Suhang Wang
:
Towards Faithful and Consistent Explanations for Graph Neural Networks. 634-642 - Chang Liu
, Yuwen Yang
, Zhe Xie
, Hongtao Lu
, Yue Ding
:
Position-Aware Subgraph Neural Networks with Data-Efficient Learning. 643-651 - Shenggui Tang
, Kaixuan Yao
, Jianqing Liang
, Zhiqiang Wang
, Jiye Liang
:
Graph Neural Networks with Interlayer Feature Representation for Image Super-Resolution. 652-660 - Liangwei Yang
, Shengjie Wang
, Yunzhe Tao
, Jiankai Sun
, Xiaolong Liu
, Philip S. Yu
, Taiqing Wang
:
DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation. 661-669 - Xiaowen Wei
, Xiuwen Gong
, Yibing Zhan
, Bo Du
, Yong Luo
, Wenbin Hu
:
CLNode: Curriculum Learning for Node Classification. 670-678 - Xin Zhou
, Jinglong Wang
, Yong Liu
, Xingyu Wu
, Zhiqi Shen
, Cyril Leung
:
Inductive Graph Transformer for Delivery Time Estimation. 679-687 - M. Eren Akbiyik
, Mert Erkul
, Killian Kämpf
, Vaiva Vasiliauskaite
, Nino Antulov-Fantulin
:
Ask "Who", Not "What": Bitcoin Volatility Forecasting with Twitter Data. 688-696 - Yan Han
, Edward W. Huang
, Wenqing Zheng
, Nikhil Rao
, Zhangyang Wang
, Karthik Subbian
:
Search Behavior Prediction: A Hypergraph Perspective. 697-705 - Usman Naseem
, Jinman Kim
, Matloob Khushi
, Adam G. Dunn
:
A Multimodal Framework for the Identification of Vaccine Critical Memes on Twitter. 706-714 - Zhen Tian
, Ting Bai
, Zibin Zhang
, Zhiyuan Xu
, Kangyi Lin
, Ji-Rong Wen
, Wayne Xin Zhao
:
Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation. 715-723 - Shuting Wang
, Zhicheng Dou
, Yutao Zhu
:
Heterogeneous Graph-based Context-aware Document Ranking. 724-732 - Pritish Chakraborty
, Sayan Ranu
, Krishna Sri Ipsit Mantri
, Abir De
:
Learning and Maximizing Influence in Social Networks Under Capacity Constraints. 733-741 - Arpit Merchant
, Michael Mathioudakis
, Yanhao Wang
:
Graph Summarization via Node Grouping: A Spectral Algorithm. 742-750 - Gongzhu Yin
, Xing Wang
, Hongli Zhang
, Chao Meng
, Yuchen Yang
, Kun Lu
, Yi Luo
:
Beyond Individuals: Modeling Mutual and Multiple Interactions for Inductive Link Prediction between Groups. 751-759 - Lichao Sun
, Xiaobin Rui
, Wei Chen
:
Scalable Adversarial Attack Algorithms on Influence Maximization. 760-768 - Mingdai Yang
, Zhiwei Liu
, Liangwei Yang
, Xiaolong Liu
, Chen Wang
, Hao Peng
, Philip S. Yu
:
Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph. 769-777 - Linhao Luo
, Gholamreza Haffari
, Shirui Pan
:
Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs. 778-786 - Qiaoyu Tan
, Ninghao Liu
, Xiao Huang
, Soo-Hyun Choi
, Li Li
, Rui Chen
, Xia Hu
:
S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking. 787-795 - Bing Liu
, Tiancheng Lan
, Wen Hua
, Guido Zuccon
:
Dependency-aware Self-training for Entity Alignment. 796-804 - Fangye Wang
, Yingxu Wang
, Dongsheng Li
, Hansu Gu
, Tun Lu
, Peng Zhang
, Ning Gu
:
CL4CTR: A Contrastive Learning Framework for CTR Prediction. 805-813 - Wei Tang
, Fenglong Su, Haifeng Sun, Qi Qi, Jingyu Wang
, Shimin Tao, Hao Yang:
Weakly Supervised Entity Alignment with Positional Inspiration. 814-822 - Alex Deng
, Lo-Hua Yuan
, Naoya Kanai
, Alexandre Salama-Manteau
:
Zero to Hero: Exploiting Null Effects to Achieve Variance Reduction in Experiments with One-sided Triggering. 823-831 - Zhenran Xu
, Zifei Shan
, Yuxin Li
, Baotian Hu
, Bing Qin
:
Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark. 832-840 - Nihal Jain
, Praneetha Vaddamanu
, Paridhi Maheshwari
, Vishwa Vinay
, Kuldeep Kulkarni
:
Self-supervised Multi-view Disentanglement for Expansion of Visual Collections. 841-849 - Thanh Trung Huynh, Minh Hieu Nguyen, Thanh Tam Nguyen, Phi Le Nguyen, Matthias Weidlich, Quoc Viet Hung Nguyen, Karl Aberer:
Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction. 850-858 - Xiaochuan Gou
, Xiangliang Zhang
:
Telecommunication Traffic Forecasting via Multi-task Learning. 859-867 - Yaguang Liu
, Lisa Singh
:
Combining vs. Transferring Knowledge: Investigating Strategies for Improving Demographic Inference in Low Resource Settings. 868-876 - Junnan Dong
, Qinggang Zhang
, Xiao Huang
, Qiaoyu Tan
, Daochen Zha
, Zihao Zhao
:
Active Ensemble Learning for Knowledge Graph Error Detection. 877-885 - Yasushi Kawase
, Atsushi Miyauchi
, Hanna Sumita
:
Stochastic Solutions for Dense Subgraph Discovery in Multilayer Networks. 886-894 - Dan Luo
, Lixin Zou
, Qingyao Ai
, Zhiyu Chen
, Dawei Yin
, Brian D. Davison
:
Model-based Unbiased Learning to Rank. 895-903 - Xiaosu Wang
, Yun Xiong
, Beichen Kang
, Yao Zhang
, Philip S. Yu
, Yangyong Zhu
:
Reducing Negative Effects of the Biases of Language Models in Zero-Shot Setting. 904-912 - Haiyuan Zhao
, Jun Xu
, Xiao Zhang
, Guohao Cai
, Zhenhua Dong
, Ji-Rong Wen
:
Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking. 913-921 - Cheng Ji
, Jianxin Li
, Hao Peng
, Jia Wu
, Xingcheng Fu
, Qingyun Sun
, Philip S. Yu
:
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. 922-930 - Alessandro Fabris
, Gianmaria Silvello
, Gian Antonio Susto
, Asia J. Biega
:
Pairwise Fairness in Ranking as a Dissatisfaction Measure. 931-939