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Workshop
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Exploring Time Granularity on Temporal Graphs for Dynamic Link Prediction in Real-world Networks
Xiangjian Jiang · Yanyi Pu
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Poster
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Wed 15:00
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Simple and Asymmetric Graph Contrastive Learning without Augmentations
Teng Xiao · Huaisheng Zhu · Zhengyu Chen · Suhang Wang
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Poster
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Wed 15:00
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Multi-task Graph Neural Architecture Search with Task-aware Collaboration and Curriculum
Yijian Qin · Xin Wang · Ziwei Zhang · Hong Chen · Wenwu Zhu
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Poster
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Learning Invariant Representations of Graph Neural Networks via Cluster Generalization
Donglin Xia · Xiao Wang · Nian Liu · Chuan Shi
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Poster
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Thu 15:00
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Towards Better Dynamic Graph Learning: New Architecture and Unified Library
Le Yu · Leilei Sun · Bowen Du · Weifeng Lv
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Poster
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Tue 15:15
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Fast Approximation of Similarity Graphs with Kernel Density Estimation
Peter Macgregor · He Sun
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Workshop
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Learning Inter-Graph Interactions Between Heterogeneous Substructures of Chemical Systems
Gyoung S. Na
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Poster
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Tue 15:15
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Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition
Divin Yan · Gengchen Wei · Chen Yang · Shengzhong Zhang · zengfeng Huang
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Poster
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Thu 8:45
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Joint Feature and Differentiable -NN Graph Learning using Dirichlet Energy
Lei Xu · Lei Chen · Rong Wang · Feiping Nie · Xuelong Li
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Workshop
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Fri 7:50
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Investigating extrapolation and low-data challenges via contrastive learning of chemical compositions
Federico Ottomano · Giovanni De Felice · Rahul Savani · Vladimir Gusev · Matthew Rosseinsky
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Workshop
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Cross-Modal Learning for Chemistry Property Prediction: Large Language Models Meet Graph Machine Learning
Sagar Srinivas Sakhinana · Venkataramana Runkana
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Poster
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Tue 8:45
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On the Minimax Regret for Online Learning with Feedback Graphs
Khaled Eldowa · Emmanuel Esposito · Tom Cesari · Nicolò Cesa-Bianchi
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