"graph-level tasks" Papers

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Beyond Random Masking: When Dropout meets Graph Convolutional Networks

Yuankai Luo, Xiao-Ming Wu, Hao Zhu

ICLR 2025
5
citations

IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning

Jiawen Qin, Haonan Yuan, Qingyun Sun et al.

ICLR 2025arXiv:2406.09870
6
citations

Refining Norms: A Post-hoc Framework for OOD Detection in Graph Neural Networks

Jiawei Gu, Ziyue Qiao, Zechao Li

NEURIPS 2025

Understanding Virtual Nodes: Oversquashing and Node Heterogeneity

Joshua Southern, Francesco Di Giovanni, Michael Bronstein et al.

ICLR 2025arXiv:2405.13526
11
citations

Homomorphism Counts for Graph Neural Networks: All About That Basis

Emily Jin, Michael Bronstein, Ismail Ceylan et al.

ICML 2024arXiv:2402.08595
20
citations