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Poster
Tue 15:15 Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals
Tingting Dan · Jiaqi Ding · Ziquan Wei · Shahar Kovalsky · Minjeong Kim · Won Hwa Kim · Guorong Wu
Poster
Wed 15:00 GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning
Haiteng Zhao · Shengchao Liu · Ma Chang · Hannan Xu · Jie Fu · Zhihong Deng · Lingpeng Kong · Qi Liu
Workshop
Large-scale Graph Representation Learning of Dynamic Brain Connectome with Transformers
Byung-Hoon Kim · Jungwon Choi · EungGu Yun · Kyungsang Kim · Xiang Li · Juho Lee
Poster
Wed 8:45 Does Invariant Graph Learning via Environment Augmentation Learn Invariance?
Yongqiang Chen · Yatao Bian · Kaiwen Zhou · Binghui Xie · Bo Han · James Cheng
Workshop
Coarse graining systems on inhomogeneous graphs using contrastive learning
Doruk Efe Gökmen · Maciej Koch-Janusz · Zohar Ringel · Sebastian Huber · Felix Flicker · Sounak Biswas
Workshop
Hierarchical Joint Graph Learning and Multivariate Time Series Forecasting
JuHyeon Kim · HyunGeun Lee · Seungwon Yu · Ung Hwang · Wooyul Jung · Miseon Park · Kijung Yoon
Poster
Thu 8:45 Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily
Langzhang Liang · Xiangjing Hu · Zenglin Xu · Zixing Song · Irwin King
Workshop
Exploring the Potential of Large Language Models (LLMs) in Learning on Graph
Zhikai Chen · Haitao Mao · Hang Li · Wei Jin · Hongzhi Wen · Xiaochi Wei · Shuaiqiang Wang · Dawei Yin · Wenqi Fan · Hui Liu · Jiliang Tang
Poster
Thu 15:00 LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching
Duy M. H. Nguyen · Hoang Nguyen · Nghiem Diep · Tan Ngoc Pham · Tri Cao · Binh Nguyen · Paul Swoboda · Paul Swoboda · Nhat Ho · Shadi Albarqouni · Pengtao Xie · Pengtao Xie · Daniel Sonntag · Mathias Niepert