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Poster
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Wed 15:00
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A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning
Yiyou Sun · Zhenmei Shi · Yixuan Li
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Poster
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Tue 8:45
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Large sample spectral analysis of graph-based multi-manifold clustering
Nicolas Garcia Trillos · Pengfei He · Chenghui Li
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Workshop
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Its All Graph To Me: Single-Model Graph Representation Learning on Multiple Domains
Alex O. Davies · Riku Green · Nirav Ajmeri · Telmo Silva Filho
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Workshop
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Size Matters: Large Graph Generation with HiGGs
Alex O. Davies · Nirav Ajmeri · Telmo Silva Filho
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Poster
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Wed 15:00
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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
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Poster
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Thu 8:45
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Certifiably Robust Graph Contrastive Learning
Minhua Lin · Teng Xiao · Enyan Dai · Xiang Zhang · Suhang Wang
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Poster
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Thu 8:45
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Directional diffusion models for graph representation learning
Run Yang · Yuling Yang · Fan Zhou · Qiang Sun
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Workshop
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Sat 9:00
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Yulia Rubanova - Learning efficient and scalable simulation using graph networks.
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Poster
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Tue 15:15
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Graph Contrastive Learning with Stable and Scalable Spectral Encoding
Deyu Bo · Yuan Fang · Yang Liu · Chuan Shi
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Poster
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Wed 15:00
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Provable Training for Graph Contrastive Learning
Yue Yu · Xiao Wang · Mengmei Zhang · Nian Liu · Chuan Shi
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Poster
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Thu 8:45
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Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes
Cai Zhou · Xiyuan Wang · Muhan Zhang
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Poster
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Tue 15:15
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Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational and Temporal Graphs
Dingmin Wang · Yeyuan Chen
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