2022 WWW 关于图的接收列表

• Graph Communal Contrastive Learning
  Bolian Li, Baoyu Jing and Hanghang Tong
• Graph Neural Network for Higher-Order Dependency Networks
  Di Jin, Yingli Gong, Zhiqiang Wang, Zhizhi Yu, Dongxiao He, Yuxiao Huang and Wenjun Wang
• Graph Neural Networks Beyond Compromise Between Attribute and Topology
  Liang Yang, Wenmiao Zhou, Weihang Peng, Bingxin Niu, Junhua Gu, Chuan Wang, Xiaochun Cao and Dongxiao He
• Graph Sanitation with Application to Node Classification
  Zhe Xu, Boxin Du and Hanghang Tong
• Graph-adaptive Rectified Linear Unit for Graph Neural Networks
  Yifei Zhang, Hao Zhu, Ziqiao Meng, Piotr Koniusz and Irwin King
• H2 -FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic Connections
  Fengzhao Shi, Yanmin Shang, Yanan Cao, Yuchen Zhou, Chuan Zhou and Jia Wu
• Inflation Improves Graph Neural Networks
  Dongxiao He, Rui Guo, Xiaobao Wang, Di Jin, Yuxiao Huang and Wenjun Wang
• KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios
  Yiqing Xie, Zhen Wang, Carl Yang, Yaliang Li, Bolin Ding, Hongbo Deng and Jiawei Han
• Learning the Markov Order of Paths in Graphs
  Luka V. Petrovic and Ingo Scholtes
• Lightning Fast and Space Efficient k-clique Counting
  Xiaowei Ye, Rong-Hua Li, Qiangqiang Dai, Hongzhi Chen and Guoren Wang
• Listing Maximal k-Plexes in Large Real-World Graphs
  Zhengren Wang, Yi Zhou, Mingyu Xiao and Bakhadyr Khoussainov
• Meta-Weight Graph Neural Network: Push the Limits Beyond Global Homophily
  Xiaojun Ma, Qin Chen, Yuanyi Ren, Guojie Song and Liang Wang
• MiDaS: Representative Sampling from Real-world Hypergraphs
  Minyoung Choe, Jaemin Yoo, Geon Lee, Woonsung Baek, U Kang and Kijung Shin
• Model-Agnostic Augmentation for Accurate Graph Classification
  Jaemin Yoo, Sooyeon Shim and U Kang
• Multimodal Continual Graph Learning with Neural Architecture Search
  Jie Cai, Xin Wang, Chaoyu Guan, Yateng Tang, Jin Xu, Bin Zhong and Wenwu Zhu
• Neural Predicting Higher-order Patterns in Temporal Networks
  Yunyu Liu, Jianzhu Ma and Pan Li
• On Size-Oriented Long-Tailed Graph Classification of Graph Neural Networks
  Zemin Liu, Qiheng Mao, Chenghao Liu, Yuan Fang and Jianling Sun
• ONBRA: Rigorous Estimation of the Temporal Betweenness Centrality in Temporal Networks
  Diego Santoro and Ilie Sarpe
• Polarized Graph Neural Networks
  Zheng Fang, Lingjun Xu, Guojie Song, Qingqing Long and Yingxue Zhang
• Prohibited Item Detection via Risk Graph Structure Learning
  Yugang Ji, Guanyi Chu, Xiao Wang, Chuan Shi and Jianan Zhao
• RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network
  Jian Kang, Yan Zhu, Yinglong Xia, Jiebo Luo and Hanghang Tong
• Resource-Efficient Training for Large Graph Convolutional Networks with Label-Centric Cumulative Sampling
  Mingkai Lin, Wenzhong Li, Ding Li, Yizhou Chen and Sanglu Lu
• Robust Self-Supervised Structural Graph Neural Network for Social Network Prediction
  Yanfu Zhang, Hongchang Gao, Jian Pei and Heng Huang
• SATMargin: Practical Maximal Frequent Subgraph Mining via Margin Space Sampling
  Muyi Liu and Pan Li
• SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation
  Jun Xia, Lirong Wu, Jintao Chen, Bozhen Hu and Stan Z. Li
• Temporal Walk Centrality: Ranking Nodes in Evolving Networks
  Lutz Oettershagen, Petra Mutzel and Nils Kriege
• Towards Unsupervised Deep Graph Structure Learning
  (Best Paper Award candidate)
  Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng and Shirui Pan
• TREND: TempoRal Event and Node Dynamics for Graph Representation Learning
  Zhihao Wen and Yuan Fang
• Unbiased Graph Embedding with Biased Graph Observations
  Nan Wang, Lu Lin, Jundong Li and Hongning Wang
• Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation
  Sixiao Zhang, Hongxu Chen, Xiangguo Sun, Yicong Li and Guandong Xu

• A New Dynamic Algorithm for Densest Subhypergraphs
  (Best Paper Award candidate)
  Suman K. Bera, Sayan Bhattacharya, Jayesh Choudhari and Prantar Ghosh
• A Rapid Source Localization Method in the Early Stage of Large-scale Network Propagation
  Zhen Wang, Dongpeng Hou, Chao Gao, Jiajin Huang and Qi Xuan
• A Viral Marketing-Based Model For Opinion Dynamics in Online Social Networks
  Sijing Tu and Stefan Neumann
• Adversarial Graph Contrastive Learning with Information Regularization
  Shengyu Feng, Baoyu Jing, Yada Zhu and Hanghang Tong
• An Invertible Graph Diffusion Neural Network for Source Localization
  Junxiang Wang, Junji Jiang and Liang Zhao
• AUC-oriented Graph Neural Network for Fraud Detection
  Mengda Huang, Yang Liu, Xiang Ao, Kuan Li, Jianfeng Chi, Jinghua Feng, Yang Hao and Qing He
• Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices
  Puja Trivedi, Ekdeep Singh Lubana, Yujun Yan, Yaoqing Yang and Danai Koutra
• CGC: Contrastive Graph Clustering for Community Detection and Tracking
  Namyong Park, Ryan Rossi, Eunyee Koh, Iftikhar Ahamath Burhanuddin, Sungchul Kim, Fan Du, Nesreen Ahmed and Christos Faloutsos
• ClusterSCL: Cluster-Aware Supervised Contrastive Learning on Graphs
  Yanling Wang, Jing Zhang, Haoyang Li, Yuxiao Dong, Hongzhi Yin, Cuiping Li and Hong Chen
• Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation
  Weiming Liu, Xiaolin Zheng, Mengling Hu and Chaochao Chen
• Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding
  Can Wang, Sheng Zhou, Kang Yu, Defang Chen, Bolang Li, Yan Feng and Chun Chen
• Compact Graph Structure Learning via Mutual Information Compression
  Nian Liu, Xiao Wang, Lingfei Wu, Yu Chen, Xiaojie Guo and Chuan Shi
• Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift
  Hongrui Liu, Binbin Hu, Xiao Wang, Chuan Shi, Zhiqiang Zhang and Jun Zhou
• Curvature Graph Generative Adversarial Networks
  Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu and Hao Peng
• Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective
  Lanning Wei, Huan Zhao and Zhiqiang He
• Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation
  Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng and Li Wang
• Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media
  Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Peilin Zhao, Junzhou Huang and Sophia Ananiadou
• Dual Space Graph Contrastive Learning
  Haoran Yang, Hongxu Chen, Shirui Pan, Lin Li, Philip S Yu and Guandong Xu
• Dual-branch Density Ratio Estimation for Signed Network Embedding
  Pinghua Xu, Yibing Zhan, Liu Liu, Baosheng Yu, Bo Du, Jia Wu and Wenbin Hu
• EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks
  Yushun Dong, Ninghao Liu, Brian Jalaian and Jundong Li
• Fair k-Center Clustering in MapReduce and Streaming Settings
  Suman K. Bera, Syamantak Das, Sainyam Galhotra and Sagar Sudhir Kale
• FirmCore Decomposition of Multilayer Networks
  Farnoosh Hashemi, Ali Behrouz and Laks V.S. Lakshmanan
• FreSCo: Mining Frequent Patterns in Simplicial Complexes
  Giulia Preti, Gianmarco De Francisci Morales and Francesco Bonchi
• GBK-GNN: Gated Bi-Kernel Graph Neural Network for Modeling Both Homophily and Heterophily
  Lun Du, Xiaozhou Shi, Qiang Fu, Xiaojun Ma, Hengyu Liu, Shi Han and Dongmei Zhang
• Generating Simple Directed Social Network Graphs for Information Spreading
  Christoph Schweimer, Christine Gfrerer, Florian Lugstein, David Pape, Jan Velimsky, Robert Elsässer and Bernhard C. Geiger
• Geometric Graph Representation Learning via Maximizing Rate Reduction
  Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li and Xia Hu
• Graph Alignment with Noisy Supervision
  Shichao Pei, Lu Yu, Guoxian Yu and Xiangliang Zhang