Paper "node representation learning" Papers

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Discrete Curvature Graph Information Bottleneck

Xingcheng Fu, Jian Wang, Yisen Gao et al.

AAAI 2025paperarXiv:2412.19993
3
citations

GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs

Songwei Zhao, Yuan Jiang, Zijing Zhang et al.

AAAI 2025paperarXiv:2504.06649
3
citations

Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification

Baoming Zhang, MingCai Chen, Jianqing Song et al.

AAAI 2025paperarXiv:2501.08581
1
citations

Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks

Yankai Chen, Yixiang Fang, Qiongyan Wang et al.

AAAI 2024paperarXiv:2402.12411
14
citations

FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization

Cheng Yang, Jixi Liu, Yunhe Yan et al.

AAAI 2024paperarXiv:2403.12474
33
citations

Rethinking Graph Masked Autoencoders through Alignment and Uniformity

Liang Wang, Xiang Tao, Qiang Liu et al.

AAAI 2024paperarXiv:2402.07225
32
citations

Towards Inductive Robustness: Distilling and Fostering Wave-Induced Resonance in Transductive GCNs against Graph Adversarial Attacks

Ao Liu, Wenshan Li, Tao Li et al.

AAAI 2024paperarXiv:2312.08651
7
citations