Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport

20 March 2022

Papers citing "Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport"

8 / 8 papers shown

Title
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation Kexin Zhang Shuhan Liu Song Wang Weili Shi Chen Chen Pan Li Sheng Li Jundong Li Kaize Ding OOD 50 2 0 25 Oct 2024
Beyond Generalization: A Survey of Out-Of-Distribution Adaptation on Graphs Shuhan Liu Kaize Ding OOD 29 5 0 17 Feb 2024
Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns Yifei Sun Qi Zhu Yang Yang Chunping Wang Tianyu Fan Jiajun Zhu Lei Chen 45 12 0 21 Dec 2023
Keypoint-Guided Optimal Transport Xiang Gu Yucheng Yang Weizhen Zeng Jian Sun Zongben Xu 39 1 0 23 Mar 2023
Preventing Over-Smoothing for Hypergraph Neural Networks Guan-Wun Chen Jiying Zhang Xi Xiao Yang Li 23 22 0 31 Mar 2022
Hypergraph Convolutional Networks via Equivalency between Hypergraphs and Undirected Graphs Jiying Zhang Fuyang Li Xi Xiao Tingyang Xu Yu Rong Junzhou Huang Yatao Bian GNN 13 24 0 31 Mar 2022
Learnable Hypergraph Laplacian for Hypergraph Learning Jiying Zhang Yuzhao Chen Xiong Xiao Runiu Lu Shutao Xia 29 28 0 10 Jun 2021
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 199 1,778 0 02 Mar 2017