• Nurudín Álvarez-González (NTENT)*; Andreas Kaltenbrunner (NTENT); Vicenç Gómez (Universitat Pompeu Fabra). Inductive Graph Embeddings through Locality Encodings.[Link]
• Yiren zhao (University of Cambridge); Duo Wang (University of Cambridge)*; Xitong Gao (Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences); Robert Mullins (University of Cambridge); Pietro Liò (University of Cambridge); Mateja Jamnik (University of Cambridge). Probabilistic Dual Network Architecture Search on Graphs.[Link]
• Dongsheng Luo (The Pennsylvania State University)*; Yuchen Bian (Baidu Research); Xiang Zhang (The Pennsylvania State University); Jun Huan (Styling AI). Attentive Social Recommendation: Towards User And Item Diversities.[Link]
• Yingheng Wang (Tsinghua University)*; Yaosen Min (Tsinghua University); Xin Chen (Tencent); Ji Wu (Tsinghua Univ.). Multi-view Graph Contrastive Representation Learning for Drug-Drug Interaction Prediction.[Link]
• Henry Kenlay (University of Oxford)*; Dorina Thanou (); Xiaowen Dong (University of Oxford). On the Stability of Graph Convolutional Neural Networks under Edge Rewiring.[Link]
• Marin Biloš (Technical University of Munich)*; Andreea Musat (Technical University of Munich); Stephan Günnemann (Technical University of Munich). Point Processes on Graphs with Normalizing Flows.[Link]
• Manh Tuan Do (Korea Advanced Institute of Science and Technology); Noseong Park (Yonsei University, Korea); Kijung Shin (Korea Advanced Institute of Science and Technology)*. Two-stage Training of Graph Neural Networks for Graph Classification.[Link]
• Xi Susie Rao (ETH)*; Shuai Zhang (ETH Zurich); Zhichao Han (Ebay); Zitao Zhang (eBay); wei min (ebay); Mo Cheng (Ebay); Yinan Shan (Ebay); Yang Zhao (Ebay); Ce Zhang (ETH). Suspicious Massive Registration Detection via Dynamic Heterogeneous Graph Neural Networks.[Link]
• Il-Jae Kwon (Seoul National University)*; Kyoung-Woon On (Kakao Brain); Dong-Geon Lee (Seoul National University); Byoung-Tak Zhang (Seoul National University). Solving Cold Start Problem in Semi-Supervised Graph Learning.[Link]
• Simin Hong (university of leeds)*; Anthony G Cohn (University of Leeds); David C Hogg (University of Leeds). Graph Representation Learning for Predicting the Severity of Depressive Symptoms Using Text.[Link]
• Ding DING (Tencent America)*; H. Howie Huang (The George Washington University). An Attention-based Approach for Trajectory Prediction in Multi-agent Sports Games.[Link]
• Vijay Prakash Dwivedi (Nanyang Technological University)*; Xavier Bresson (Nanyang Technological University). A Generalization of Transformer Networks to Graphs.[Link]
• Simon Geisler (Technical University of Munich)*; Daniel Zügner (Technical University of Munich); Aleksandar Bojchevski (Technical University of Munich); Stephan Günnemann (Technical University of Munich). Attacking Graph Neural Networks at Scale.[Link]
• Axel B Nilsson (Nanyang Technical University)*; Xavier Bresson (Nanyang Technological University). An Experimental Study of the Transferability of Spectral Graph Networks.[Link]
• Liyuan Zheng (University of Washington); Zhen Zuo (Amazon); Wenbo Wang (Amazon)*; Chaosheng Dong (Amazon); Michinari Momma (Amazon); Yi Sun (Amazon). Heterogeneous Graph Neural Networks with Neighbor-SIM Attention Mechanism for Substitute Product Recommendation.[Link]
• Haoteng YIN (Purdue University)*; Yanbang Wang (Stanford University); Pan Li (Stanford University - Purdue University). Revisit graph neural networks and distance encoding in a practical view.[Link]
• Seema Nagar (IBM Research)*; Sameer Gupta (National Institute of Technology, Kurukshetra); C.S. Bahushruth (MIT, Jaipur ); Dr.Ferdous Ahmed Barbhuiya (IIIT Guwahati); Kuntal Dey (Accenture Technology Labs). Homophily - A Driving Factor for Hate Speech on Twitter.[Link]
• Emma Rocheteau (University of Cambridge)*; Catherine Tong (University of Oxford); Petar Velickovic (University of Cambridge); Nic Lane (University of Cambridge); Pietro Lió (University of Cambridge). Predicting Patient Outcomes with Graph Representation Learning.[Link]
• Rina Dechter (UC Irvine); Yasaman Razeghi (University of California Irvine)*; Pierre Baldi (UC Irvine); Yadong Lu (University of California Irvine); Kalev Kask (UC Irvine). Deep Bucket Elimination.[Link]
• Brandon Malone (NEC Laboratories Europe)*; Alberto Garcia-Duran (EPFL); Mathias Niepert (NEC Laboratories Europe). Learning Representations of Missing Data using Graph Neural Networks for Predicting Patient Outcomes.[Link]
• Ancy Tom (University of Minnesota, Twin Cities)*; Nesreen Ahmed (Intel Labs); George Karypis (University of Minnesota, Minneapolis). Mazi: Joint Unsupervised Learning of Hierarchical Structure and Network Representations.[Link]
• Guihong Wan (University of Texas at Dallas)*; Harsha Kokel (The University of Texas at Dallas). Graph Sparsification via Meta-Learning.[Link]