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Poster
Wed 15:00 Provable Training for Graph Contrastive Learning
Yue Yu · Xiao Wang · Mengmei Zhang · Nian Liu · Chuan Shi
Poster
Wed 15:00 Simple and Asymmetric Graph Contrastive Learning without Augmentations
Teng Xiao · Huaisheng Zhu · Zhengyu Chen · Suhang Wang
Poster
Wed 8:45 Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning
Xiaojun Guo · Yifei Wang · Zeming Wei · Yisen Wang
Poster
Thu 8:45 Certifiably Robust Graph Contrastive Learning
Minhua Lin · Teng Xiao · Enyan Dai · Xiang Zhang · Suhang Wang
Workshop
MCGC: an MLP-based supervised Contrastive learning framework for Graph Classification
Xiao Yue · Bo Liu · Andrew Meng · Guangzhi Qu
Poster
Wed 15:00 A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning
Yiyou Sun · Zhenmei Shi · Yixuan Li
Poster
Tue 8:45 Large sample spectral analysis of graph-based multi-manifold clustering
Nicolas Garcia Trillos · Pengfei He · Chenghui Li
Poster
Tue 15:15 Graph Contrastive Learning with Stable and Scalable Spectral Encoding
Deyu Bo · Yuan Fang · Yang Liu · Chuan Shi
Workshop
Its All Graph To Me: Single-Model Graph Representation Learning on Multiple Domains
Alex O. Davies · Riku Green · Nirav Ajmeri · Telmo Silva Filho
Workshop
Size Matters: Large Graph Generation with HiGGs
Alex O. Davies · Nirav Ajmeri · Telmo Silva Filho
Poster
Wed 15:00 An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations
Haoran Yang · Xiangyu Zhao · Yicong Li · Hongxu Chen · Guandong Xu
Poster
Wed 15:00 SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations
Qitian Wu · Wentao Zhao · Chenxiao Yang · Hengrui Zhang · Fan Nie · Haitian Jiang · Yatao Bian · Junchi Yan