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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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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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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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Workshop
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Soft Contrastive Learning for Time Series
Seunghan Lee · Taeyoung Park · Kibok Lee
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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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Contrasting Sequence with Structure: \\Pre-training Graph Representations with PLMs
Louis Robinson · Timothy Atkinson · Liviu Copoiu · Patrick Bordes · Thomas PIERROT · Thomas Barrett
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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 8:20
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Topological Deep Learning: Going Beyond Graph Data
Mustafa Hajij
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Workshop
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Contrasting Sequence with Structure: Pre-training Graph Representations with PLMs
Louis Robinson · Timothy Atkinson · Liviu Copoiu · Patrick Bordes · Thomas PIERROT · Tom Barrett
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