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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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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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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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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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Tue 8:45
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TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery
Jialin Chen · Rex Ying
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Poster
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Thu 15:00
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Characterization and Learning of Causal Graphs with Small Conditioning Sets
Murat Kocaoglu
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Workshop
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DURENDAL: Graph deep learning framework for temporal heterogeneous networks
Manuel Dileo · Matteo Zignani · Sabrina Gaito
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Poster
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Tue 8:45
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Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data
Saptarshi Roy · Raymond K. W. Wong · Yang Ni
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Workshop
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Sat 8:20
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Topological Deep Learning: Going Beyond Graph Data
Mustafa Hajij
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Workshop
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Sat 11:15
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Benefits of learning with symmetries: eigenvectors, graph representations and sample complexity
Stefanie Jegelka
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Workshop
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Sat 11:00
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Michael Bronstein - Physics-inspired learning on graphs.
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Workshop
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Prompt Learning Unlocked for App Promotion in the Wild
Zhongyu Ouyang · Shifu Hou · Shang Ma · Chaoran Chen · Chunhui Zhang · Toby Li · Xusheng Xiao · Xiangchi Yuan · Yanfang Ye
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