Poster "graph-structured data" Papers

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Beyond Random Masking: When Dropout meets Graph Convolutional Networks

Yuankai Luo, Xiao-Ming Wu, Hao Zhu

Enhanced Expert Merging for Mixture-of-Experts in Graph Foundation Models

Lei Liu, Xingyu Xia, Qianqian Xie et al.

Greener GRASS: Enhancing GNNs with Encoding, Rewiring, and Attention

Tongzhou Liao, Barnabás Póczos

ICLR 2025arXiv:2407.05649

HoT-VI: Reparameterizable Variational Inference for Capturing Instance-Level High-Order Correlations

Junxi Xiao, Qinliang Su, Zexin Yuan

On the Stability of Graph Convolutional Neural Networks: A Probabilistic Perspective

Ning Zhang, Henry Kenlay, Li Zhang et al.

NEURIPS 2025arXiv:2506.01213

Precedence-Constrained Winter Value for Effective Graph Data Valuation

Hongliang Chi, Wei Jin, Charu Aggarwal et al.

ICLR 2025arXiv:2402.01943

Sketch-Augmented Features Improve Learning Long-Range Dependencies in Graph Neural Networks

Ryien Hosseini, Filippo Simini, Venkatram Vishwanath et al.

NEURIPS 2025arXiv:2511.03824

Less is More: on the Over-Globalizing Problem in Graph Transformers

Yujie Xing, Xiao Wang, Yibo Li et al.

ICML 2024arXiv:2405.01102

LLaGA: Large Language and Graph Assistant

Runjin Chen, Tong Zhao, Ajay Jaiswal et al.

ICML 2024arXiv:2402.08170

Rethinking Independent Cross-Entropy Loss For Graph-Structured Data

Rui Miao, Kaixiong Zhou, Yili Wang et al.

ICML 2024arXiv:2405.15564