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32nd WWW 2023: Austin, TX, USA
- Ying Ding, Jie Tang, Juan F. Sequeda, Lora Aroyo, Carlos Castillo, Geert-Jan Houben:
Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023. ACM 2023, ISBN 978-1-4503-9416-1
Keynotes
- Barbara Poblete
:
Using diversity as a source of scientific innovation for the Web. 1 - Payal Arora
:
Decolonizing Creative Labor in the age of AI. 2 - Zachary Elkins
:
Concept Regulation in the Social Sciences. 3 - Michalis Vazirgiannis
:
GNNs and Graph Generative models for biomedical applications. 4 - Robert Melancton Metcalfe
:
Connectivity. 5
Social Network Analysis and Graph Algorithms
- Masoud Reyhani Hamedani
, Jin-Su Ryu
, Sang-Wook Kim
:
GELTOR: A Graph Embedding Method based on Listwise Learning to Rank. 6-16 - Lianghao Xia
, Chao Huang
, Jiao Shi
, Yong Xu
:
Graph-less Collaborative Filtering. 17-27 - Zheyuan Liu
, Chunhui Zhang
, Yijun Tian
, Erchi Zhang
, Chao Huang
, Yanfang Ye
, Chuxu Zhang
:
Fair Graph Representation Learning via Diverse Mixture-of-Experts. 28-38 - Yuchen Zhou
, Yanan Cao
, Yongchao Liu
, Yanmin Shang
, Peng Zhang
, Zheng Lin
, Yun Yue
, Baokun Wang, Xing Fu
, Weiqiang Wang
:
Multi-Aspect Heterogeneous Graph Augmentation. 39-48 - Florian Adriaens
, Simon Apers
:
Testing Cluster Properties of Signed Graphs. 49-59 - Zeyu Zhang
, Jiamou Liu
, Xianda Zheng
, Yifei Wang
, Pengqian Han
, Yupan Wang
, Kaiqi Zhao
, Zijian Zhang
:
RSGNN: A Model-agnostic Approach for Enhancing the Robustness of Signed Graph Neural Networks. 60-70 - Taehyung Kwon
, Jihoon Ko
, Jinhong Jung
, Kijung Shin
:
NeuKron: Constant-Size Lossy Compression of Sparse Reorderable Matrices and Tensors. 71-81 - Hao Huang
, Keqi Han
, Beicheng Xu
, Ting Gan
:
Multi-aspect Diffusion Network Inference. 82-90 - Yu Wang
, Yuying Zhao
, Yi Zhang
, Tyler Derr
:
Collaboration-Aware Graph Convolutional Network for Recommender Systems. 91-101 - Chao Gao
, Yuchen Wang
, Zhen Wang
, Xianghua Li
, Xuelong Li
:
Pairwise-interactions-based Bayesian Inference of Network Structure from Information Cascades. 102-110 - Jiazheng Zhang
, Bang Wang
:
Encoding Node Diffusion Competence and Role Significance for Network Dismantling. 111-121 - Zhilun Zhou
, Yu Liu
, Jingtao Ding
, Depeng Jin
, Yong Li
:
Hierarchical Knowledge Graph Learning Enabled Socioeconomic Indicator Prediction in Location-Based Social Network. 122-132 - Xiaotian Zhou
, Zhongzhi Zhang
:
Opinion Maximization in Social Networks via Leader Selection. 133-142 - Xiang Li
, Tiandi Ye
, Caihua Shan
, Dongsheng Li
, Ming Gao
:
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking. 143-153 - Dong Chen
, Xiang Zhao
, Wei Wang
, Zhen Tan
, Weidong Xiao
:
Graph Self-supervised Learning with Augmentation-aware Contrastive Learning. 154-164 - Jiajie Su
, Chaochao Chen
, Weiming Liu
, Fei Wu
, Xiaolin Zheng
, Haoming Lyu
:
Enhancing Hierarchy-Aware Graph Networks with Deep Dual Clustering for Session-based Recommendation. 165-176 - Liangtian Wan
, Xiaona Li
, Huijin Han
, Xiaoran Yan
, Lu Sun
, Zhaolong Ning
, Feng Xia
:
Unifying and Improving Graph Convolutional Neural Networks with Wavelet Denoising Filters. 177-187 - Chenxu Wang
, Xin Wang
, Zhao Li
, Zirui Chen
, Jianxin Li
:
HyConvE: A Novel Embedding Model for Knowledge Hypergraph Link Prediction with Convolutional Neural Networks. 188-198 - Ke Zhang
, Xiaoqing Wang
, Gong Cheng
:
Efficient Approximation Algorithms for the Diameter-Bounded Max-Coverage Group Steiner Tree Problem. 199-209 - Felix I. Stamm
, Michael Scholkemper
, Michael T. Schaub
, Markus Strohmaier
:
Neighborhood Structure Configuration Models. 210-220 - Yang Liu
, Chuan Zhou
, Shirui Pan
, Jia Wu
, Zhao Li
, Hongyang Chen
, Peng Zhang
:
CurvDrop: A Ricci Curvature Based Approach to Prevent Graph Neural Networks from Over-Smoothing and Over-Squashing. 221-230 - Hyunsik Yoo
, Yeon-Chang Lee
, Kijung Shin
, Sang-Wook Kim
:
Disentangling Degree-related Biases and Interest for Out-of-Distribution Generalized Directed Network Embedding. 231-239 - Xixi Wu
, Yun Xiong
, Yao Zhang
, Yizhu Jiao
, Jiawei Zhang
, Yangyong Zhu
, Philip S. Yu
:
ConsRec: Learning Consensus Behind Interactions for Group Recommendation. 240-250 - Cheng Yang
, Xumeng Gong
, Chuan Shi
, Philip S. Yu
:
A Post-Training Framework for Improving Heterogeneous Graph Neural Networks. 251-262 - Trung-Kien Nguyen
, Zemin Liu
, Yuan Fang
:
Link Prediction on Latent Heterogeneous Graphs. 263-273 - Wendong Bi
, Bingbing Xu
, Xiaoqian Sun
, Easton Li Xu
, Huawei Shen
, Xueqi Cheng
:
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network. 274-285 - Zhen Wang
, Dongpeng Hou
, Chao Gao
, Xiaoyu Li
, Xuelong Li
:
Lightweight source localization for large-scale social networks. 286-294 - Qianru Zhang
, Chao Huang
, Lianghao Xia
, Zheng Wang
, Zhonghang Li
, Siu-Ming Yiu
:
Automated Spatio-Temporal Graph Contrastive Learning. 295-305 - Jingwei Guo
, Kaizhu Huang
, Xinping Yi
, Rui Zhang
:
Graph Neural Networks with Diverse Spectral Filtering. 306-316 - Hyunju Kim
, Jihoon Ko
, Fanchen Bu
, Kijung Shin
:
Characterization of Simplicial Complexes by Counting Simplets Beyond Four Nodes. 317-327 - Jincheng Huang
, Lun Du
, Xu Chen
, Qiang Fu
, Shi Han
, Dongmei Zhang
:
Robust Mid-Pass Filtering Graph Convolutional Networks. 328-338 - Liang Qu
, Ningzhi Tang
, Ruiqi Zheng
, Quoc Viet Hung Nguyen
, Zi Huang
, Yuhui Shi
, Hongzhi Yin
:
Semi-decentralized Federated Ego Graph Learning for Recommendation. 339-348 - Xiran Song
, Jianxun Lian
, Hong Huang
, Zihan Luo
, Wei Zhou
, Xue Lin
, Mingqi Wu
, Chaozhuo Li
, Xing Xie
, Hai Jin
:
xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link Prediction. 349-359 - Junda Ye
, Zhongbao Zhang
, Li Sun
, Yang Yan
, Feiyang Wang
, Fuxin Ren
:
SINCERE: Sequential Interaction Networks representation learning on Co-Evolving RiEmannian manifolds. 360-371 - Zhichen Zeng
, Si Zhang
, Yinglong Xia
, Hanghang Tong
:
PARROT: Position-Aware Regularized Optimal Transport for Network Alignment. 372-382 - Weiming Liu
, Xiaolin Zheng
, Chaochao Chen
, Jiajie Su
, Xinting Liao
, Mengling Hu
, Yanchao Tan
:
Joint Internal Multi-Interest Exploration and External Domain Alignment for Cross Domain Sequential Recommendation. 383-394 - Dingyuan Zhu
, Daixin Wang
, Zhiqiang Zhang
, Kun Kuang
, Yan Zhang
, Yulin Kang
, Jun Zhou
:
Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling. 395-405 - Yuchen Wang
, Jinghui Zhang
, Zhengjie Huang
, Weibin Li
, Shikun Feng
, Ziheng Ma
, Yu Sun
, Dianhai Yu
, Fang Dong
, Jiahui Jin
, Beilun Wang
, Junzhou Luo
:
Label Information Enhanced Fraud Detection against Low Homophily in Graphs. 406-416 - Zemin Liu
, Xingtong Yu
, Yuan Fang
, Xinming Zhang
:
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks. 417-428 - Guozhen Zhang
, Tian Ye
, Depeng Jin
, Yong Li
:
An Attentional Multi-scale Co-evolving Model for Dynamic Link Prediction. 429-437 - Bingxin Zhou
, Yuanhong Jiang
, Yuguang Wang
, Jingwei Liang
, Junbin Gao
, Shirui Pan
, Xiaoqun Zhang
:
Robust Graph Representation Learning for Local Corruption Recovery. 438-448 - Zhongxuan Han
, Xiaolin Zheng
, Chaochao Chen
, Wenjie Cheng
, Yang Yao
:
Intra and Inter Domain HyperGraph Convolutional Network for Cross-Domain Recommendation. 449-459 - Xingcheng Fu
, Yuecen Wei
, Qingyun Sun
, Haonan Yuan
, Jia Wu
, Hao Peng
, Jianxin Li
:
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification. 460-468 - Liang Yang
, Qiuliang Zhang
, Runjie Shi
, Wenmiao Zhou
, Bingxin Niu
, Chuan Wang
, Xiaochun Cao
, Dongxiao He
, Zhen Wang
, Yuanfang Guo
:
Graph Neural Networks without Propagation. 469-477 - Yao Zhang
, Yun Xiong
, Yongxiang Liao
, Yiheng Sun
, Yucheng Jin
, Xuehao Zheng
, Yangyong Zhu
:
TIGER: Temporal Interaction Graph Embedding with Restarts. 478-488 - Liangtian Wan
, Zhenqiang Fu
, Lu Sun
, Xianpeng Wang
, Gang Xu
, Xiaoran Yan
, Feng Xia
:
Self-Supervised Teaching and Learning of Representations on Graphs. 489-498 - Dongcheng Zou
, Hao Peng
, Xiang Huang
, Renyu Yang
, Jianxin Li
, Jia Wu
, Chunyang Liu
, Philip S. Yu
:
SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization. 499-510 - Jiayan Guo
, Lun Du
, Wendong Bi
, Qiang Fu
, Xiaojun Ma
, Xu Chen
, Shi Han
, Dongmei Zhang
, Yan Zhang
:
Homophily-oriented Heterogeneous Graph Rewiring. 511-522 - Qijie Bai
, Changli Nie
, Haiwei Zhang
, Dongming Zhao
, Xiaojie Yuan
:
HGWaveNet: A Hyperbolic Graph Neural Network for Temporal Link Prediction. 523-532 - Xiaojun Ma
, Qin Chen
, Yi Wu
, Guojie Song
, Liang Wang
, Bo Zheng
:
Rethinking Structural Encodings: Adaptive Graph Transformer for Node Classification Task. 533-544 - Hsi-Wen Chen
, De-Nian Yang
, Wang-Chien Lee
, Philip S. Yu
, Ming-Syan Chen
:
CMINet: a Graph Learning Framework for Content-aware Multi-channel Influence Diffusion. 545-555 - Han Xie
, Li Xiong
, Carl Yang
:
Federated Node Classification over Graphs with Latent Link-type Heterogeneity. 556-566 - Susheel Suresh
, Mayank Shrivastava
, Arko Mukherjee
, Jennifer Neville
, Pan Li
:
Expressive and Efficient Representation Learning for Ranking Links in Temporal Graphs. 567-577 - Ylli Sadikaj
, Justus Rass
, Yllka Velaj
, Claudia Plant
:
Semi-Supervised Embedding of Attributed Multiplex Networks. 578-587 - Lanning Wei
, Zhiqiang He
, Huan Zhao
, Quanming Yao
:
Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification. 588-598 - Qiheng Mao
, Zemin Liu
, Chenghao Liu
, Jianling Sun
:
HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer. 599-610 - Xin Zheng
, Miao Zhang
, Chunyang Chen
, Qin Zhang
, Chuan Zhou
, Shirui Pan
:
Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs. 611-620 - Haoran Yang
, Hongxu Chen
, Sixiao Zhang
, Xiangguo Sun
, Qian Li
, Xiangyu Zhao
, Guandong Xu
:
Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning. 621-629 - Mengmei Zhang
, Xiao Wang
, Chuan Shi
, Lingjuan Lyu
, Tianchi Yang
, Junping Du
:
Minimum Topology Attacks for Graph Neural Networks. 630-640 - Riting Xia
, Yan Zhang
, Chunxu Zhang
, Xueyan Liu
, Bo Yang
:
Multi-head Variational Graph Autoencoder Constrained by Sum-product Networks. 641-650 - Jiancan Wu
, Yi Yang
, Yuchun Qian
, Yongduo Sui
, Xiang Wang, Xiangnan He
:
GIF: A General Graph Unlearning Strategy via Influence Function. 651-661 - Fabian Spaeh
, Charalampos E. Tsourakakis
:
Learning Mixtures of Markov Chains with Quality Guarantees. 662-672 - Chuanpan Zheng
, Xiaoliang Fan
, Cheng Wang
, Jianzhong Qi
, Chaochao Chen
, Longbiao Chen
:
INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging. 673-683 - Di Jin
, Luzhi Wang
, Yizhen Zheng
, Guojie Song
, Fei Jiang
, Xiang Li
, Wei Lin
, Shirui Pan
:
Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation. 684-693 - Nate Veldt
:
Cut-matching Games for Generalized Hypergraph Ratio Cuts. 694-704 - Harry Shomer
, Wei Jin
, Wentao Wang
, Jiliang Tang
:
Toward Degree Bias in Embedding-Based Knowledge Graph Completion. 705-715 - Chao Pan
, Eli Chien
, Olgica Milenkovic
:
Unlearning Graph Classifiers with Limited Data Resources. 716-726 - Zhizhi Yu
, Di Jin
, Cuiying Huo
, Zhiqiang Wang
, Xiulong Liu
, Heng Qi
, Jia Wu
, Lingfei Wu
:
KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks. 727-736 - Zhenyu Hou
, Yufei He
, Yukuo Cen
, Xiao Liu
, Yuxiao Dong
, Evgeny Kharlamov
, Jie Tang
:
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner. 737-746 - Yukuo Cen
, Zhenyu Hou
, Yan Wang
, Qibin Chen
, Yizhen Luo
, Zhongming Yu
, Hengrui Zhang
, Xingcheng Yao
, Aohan Zeng
, Shiguang Guo
, Yuxiao Dong
, Yang Yang
, Peng Zhang
, Guohao Dai
, Yu Wang
, Chang Zhou
, Hongxia Yang
, Jie Tang
:
CogDL: A Comprehensive Library for Graph Deep Learning. 747-758 - Dan Zhang
, Yifan Zhu
, Yuxiao Dong
, Yuandong Wang
, Wenzheng Feng
, Evgeny Kharlamov
, Jie Tang
:
ApeGNN: Node-Wise Adaptive Aggregation in GNNs for Recommendation. 759-769
User Modeling and Personalization
- Allen Lin
, Ziwei Zhu
, Jianling Wang
, James Caverlee
:
Enhancing User Personalization in Conversational Recommenders. 770-778 - Ruitao Zhu, Detao Lv, Yao Yu, Ruihao Zhu, Zhenzhe Zheng, Ke Bu, Quan Lu, Fan Wu
:
LINet: A Location and Intention-Aware Neural Network for Hotel Group Recommendation. 779-789 - Wei Wei
, Chao Huang
, Lianghao Xia
, Chuxu Zhang
:
Multi-Modal Self-Supervised Learning for Recommendation. 790-800 - SeongKu Kang
, Wonbin Kweon
, Dongha Lee
, Jianxun Lian
, Xing Xie
, Hwanjo Yu
:
Distillation from Heterogeneous Models for Top-K Recommendation. 801-811 - Wentao Shi
, Jiawei Chen
, Fuli Feng
, Jizhi Zhang
, Junkang Wu
, Chongming Gao
, Xiangnan He
:
On the Theories Behind Hard Negative Sampling for Recommendation. 812-822 - Tianjun Wei
, Jianghong Ma
, Tommy W. S. Chow
:
Fine-tuning Partition-aware Item Similarities for Efficient and Scalable Recommendation. 823-832 - Shuchang Liu
, Qingpeng Cai
, Bowen Sun
, Yuhao Wang
, Ji Jiang
, Dong Zheng
, Peng Jiang
, Kun Gai
, Xiangyu Zhao
, Yongfeng Zhang
:
Exploration and Regularization of the Latent Action Space in Recommendation. 833-844 - Xin Zhou
, Hongyu Zhou
, Yong Liu
, Zhiwei Zeng
, Chunyan Miao
, Pengwei Wang
, Yuan You
, Feijun Jiang
:
Bootstrap Latent Representations for Multi-modal Recommendation. 845-854 - Yu Yin
, Le Dai
, Zhenya Huang
, Shuanghong Shen
, Fei Wang
, Qi Liu
, Enhong Chen
, Xin Li
:
Tracing Knowledge Instead of Patterns: Stable Knowledge Tracing with Diagnostic Transformer. 855-864 - Qingpeng Cai
, Zhenghai Xue
, Chi Zhang
, Wanqi Xue
, Shuchang Liu
, Ruohan Zhan
, Xueliang Wang
, Tianyou Zuo
, Wentao Xie
, Dong Zheng
, Peng Jiang
, Kun Gai
:
Two-Stage Constrained Actor-Critic for Short Video Recommendation. 865-875 - Jingsen Zhang
, Xu Chen
, Jiakai Tang
, Weiqi Shao
, Quanyu Dai
, Zhenhua Dong
, Rui Zhang
:
Recommendation with Causality enhanced Natural Language Explanations. 876-886 - Chuang Zhao
, Hongke Zhao
, Ming He
, Jian Zhang
, Jianping Fan
:
Cross-domain recommendation via user interest alignment. 887-896 - Zhenlei Wang
, Xu Chen
:
Robust Recommendation with Adversarial Gaussian Data Augmentation. 897-905 - Yuan Yuan
, Huandong Wang
, Jingtao Ding
, Depeng Jin
, Yong Li
:
Learning to Simulate Daily Activities via Modeling Dynamic Human Needs. 906-916 - Guanyu Lin
, Chen Gao
, Yu Zheng
, Jianxin Chang
, Yanan Niu
, Yang Song
, Zhiheng Li
, Depeng Jin
, Yong Li
:
Dual-interest Factorization-heads Attention for Sequential Recommendation. 917-927 - Zhihui Zhou
, Lilin Zhang
, Ning Yang
:
Contrastive Collaborative Filtering for Cold-Start Item Recommendation. 928-937 - Xiaoyu You
, Chi Li
, Daizong Ding
, Mi Zhang
, Fuli Feng
, Xudong Pan
, Min Yang
:
Anti-FakeU: Defending Shilling Attacks on Graph Neural Network based Recommender Model. 938-948 - Yue Cui
, Chen Ma
, Kai Zheng
, Lei Chen
, Xiaofang Zhou
:
Controllable Universal Fair Representation Learning. 949-959 - Wei Guo
, Chang Meng
, Enming Yuan
, Zhicheng He
, Huifeng Guo
, Yingxue Zhang
, Bo Chen
, Yaochen Hu
, Ruiming Tang
, Xiu Li
, Rui Zhang
:
Compressed Interaction Graph based Framework for Multi-behavior Recommendation. 960-970 - Wenzhuo Song
, Shoujin Wang
, Yan Wang
, Kunpeng Liu
, Xueyan Liu
, Minghao Yin
:
A Counterfactual Collaborative Session-based Recommender System. 971-982 - Zixuan Xu
, Penghui Wei
, Shaoguo Liu
, Weimin Zhang
, Liang Wang
, Bo Zheng
:
Correlative Preference Transfer with Hierarchical Hypergraph Network for Multi-Domain Recommendation. 983-991 - Lianghao Xia
, Chao Huang
, Chunzhen Huang
, Kangyi Lin
, Tao Yu
, Ben Kao
:
Automated Self-Supervised Learning for Recommendation. 992-1002 - Weilin Lin
, Xiangyu Zhao
, Yejing Wang
, Yuanshao Zhu
, Wanyu Wang
:
AutoDenoise: Automatic Data Instance Denoising for Recommendations. 1003-1011 - Lei Chen
, Le Wu
, Kun Zhang
, Richang Hong
, Defu Lian
, Zhiqiang Zhang
, Jun Zhou
, Meng Wang
:
Improving Recommendation Fairness via Data Augmentation. 1012-1020 - Shiguang Wu
, Yaqing Wang
, Qinghe Jing
, Daxiang Dong
, Dejing Dou
, Quanming Yao
:
ColdNAS: Search to Modulate for User Cold-Start Recommendation. 1021-1031 - Rui Fan
, Yuanhao Pu
, Jin Chen
, Zhihao Zhu
, Defu Lian
, Enhong Chen
:
AutoS2AE: Automate to Regularize Sparse Shallow Autoencoders for Recommendation. 1032-1042 - Lingfeng Shi
, Yuang Liu
, Jun Wang
, Wei Zhang
:
Quantize Sequential Recommenders Without Private Data. 1043-1052 - Wei Yuan
, Chaoqun Yang
, Quoc Viet Hung Nguyen
, Lizhen Cui
, Tieke He
, Hongzhi Yin
:
Interaction-level Membership Inference Attack Against Federated Recommender Systems. 1053-1062 - Yuhao Yang
, Chao Huang
, Lianghao Xia
, Chunzhen Huang
, Da Luo
, Kangyi Lin
:
Debiased Contrastive Learning for Sequential Recommendation. 1063-1073 - Yizhou Chen
, Guangda Huzhang
, Anxiang Zeng
, Qingtao Yu
, Hui Sun
, Heng-Yi Li
, Jingyi Li
, Yabo Ni
, Han Yu
, Zhiming Zhou
:
Clustered Embedding Learning for Recommender Systems. 1074-1084 - Jiawei Chen
,