Learning How to Propagate Messages in Graph Neural Networks

1 October 2023

Papers citing "Learning How to Propagate Messages in Graph Neural Networks"

38 / 38 papers shown

Title
Subgraph Federated Learning for Local Generalization Sungwon Kim Yoonho Lee Yunhak Oh Namkyeong Lee Sukwon Yun Junseok Lee Sein Kim Carl Yang Chanyoung Park FedML OOD 89 1 0 06 Mar 2025
CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks Atmane Ayoub Mansour Bahar Kamel Soaid Ferrahi Mohamed-Lamine Messai H. Seba Karima Amrouche 36 0 0 08 Jan 2025
GeomCLIP: Contrastive Geometry-Text Pre-training for Molecules Teng Xiao Chao Cui Huaisheng Zhu V. Honavar AI4CE CLIP 30 0 0 16 Nov 2024
How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective Teng Xiao Mingxiao Li Yige Yuan Huaisheng Zhu Chao Cui V. Honavar ALM 34 7 0 14 Oct 2024
Federated Graph Learning for Cross-Domain Recommendation Ziqi Yang Zhaopeng Peng Zihui Wang Jianzhong Qi Chaochao Chen Weike Pan Chenglu Wen Cheng-Yu Wang Xiaoliang Fan FedML 32 1 0 10 Oct 2024
Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models Siqi Wang Zhengyu Chen Bei Li Keqing He Min Zhang Jingang Wang 36 2 0 08 Oct 2024
AnyGraph: Graph Foundation Model in the Wild Lianghao Xia Chao Huang OOD 42 10 0 20 Aug 2024
LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation Jiaxing Zhang Jiayi Liu Dongsheng Luo Jennifer Neville Hua Wei 33 2 0 22 Jul 2024
Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang 26 3 0 14 Jun 2024
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks Arjun Subramonian Jian Kang Yizhou Sun AI4CE 34 4 0 04 Apr 2024
MolBind: Multimodal Alignment of Language, Molecules, and Proteins Teng Xiao Chao Cui Huaisheng Zhu V. Honavar AI4CE 40 8 0 13 Mar 2024
3M-Diffusion: Latent Multi-Modal Diffusion for Text-Guided Generation of Molecular Graphs Huaisheng Zhu Teng Xiao V. Honavar DiffM 40 5 0 11 Mar 2024
Towards Off-Policy Reinforcement Learning for Ranking Policies with Human Feedback Teng Xiao Suhang Wang OffRL 27 8 0 17 Jan 2024
Learning to Reweight for Graph Neural Network Zhengyu Chen Teng Xiao Kun Kuang Zheqi Lv Min Zhang Jinluan Yang Chengqiang Lu Hongxia Yang Fei Wu OOD 37 1 0 19 Dec 2023
Prompt-based Distribution Alignment for Unsupervised Domain Adaptation Shuanghao Bai Min Zhang Wanqi Zhou Siteng Huang Zhirong Luan Donglin Wang Badong Chen OOD VLM 35 32 0 15 Dec 2023
Prioritized Propagation in Graph Neural Networks Yao Cheng Minjie Chen Xiang Li Caihua Shan Ming Gao AI4CE 35 0 0 06 Nov 2023
Simple and Asymmetric Graph Contrastive Learning without Augmentations Teng Xiao Huaisheng Zhu Zhengyu Chen Suhang Wang 27 31 0 29 Oct 2023
Certifiably Robust Graph Contrastive Learning Min Lin Teng Xiao Enyan Dai Xiang Zhang Suhang Wang AAML 24 6 0 05 Oct 2023
MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation Jiaxing Zhang Dongsheng Luo Huazhou Wei 23 20 0 15 Jul 2023
Towards Fair Graph Neural Networks via Graph Counterfactual Zhimeng Guo Jialiang Li Teng Xiao Yao Ma Suhang Wang 40 20 0 10 Jul 2023
Self-Explainable Graph Neural Networks for Link Prediction Huaisheng Zhu Dongsheng Luo Xianfeng Tang Junjie Xu Hui Liu Suhang Wang 16 1 0 21 May 2023
Counterfactual Learning on Graphs: A Survey Zhimeng Guo Teng Xiao Zongyu Wu Charu C. Aggarwal Hui Liu Suhang Wang CML AI4CE 40 19 0 03 Apr 2023
A semantic backdoor attack against Graph Convolutional Networks Jiazhu Dai Zhipeng Xiong AAML 35 8 0 28 Feb 2023
Dual Policy Learning for Aggregation Optimization in Graph Neural Network-based Recommender Systems Heesoo Jung Sangpil Kim Hogun Park 20 5 0 21 Feb 2023
Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification Yoonhyuk Choi Jiho Choi Taewook Ko Chong-Kwon Kim 21 8 0 20 Feb 2023
Deep Transfer Tensor Factorization for Multi-View Learning Penghao Jiang Ke Xin Chunxi Li 13 0 0 13 Feb 2023
Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang 34 7 0 07 Jan 2023
KSG: Knowledge and Skill Graph Feng Zhao Ziqi Zhang Donglin Wang 23 4 0 13 Sep 2022
Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics Zhengyang Zhou Yang Kuo Wei Sun Binwu Wang Mingxing Zhou Yunan Zong Yang Wang AI4TS 24 3 0 17 Aug 2022
Decoupled Self-supervised Learning for Non-Homophilous Graphs Teng Xiao Zhengyu Chen Zhimeng Guo Zeyang Zhuang Suhang Wang BDL SSL 25 18 0 07 Jun 2022
Towards Faithful and Consistent Explanations for Graph Neural Networks Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang FAtt 54 18 0 27 May 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability Enyan Dai Tianxiang Zhao Huaisheng Zhu Jun Xu Zhimeng Guo Hui Liu Jiliang Tang Suhang Wang 34 132 0 18 Apr 2022
Exploring Edge Disentanglement for Node Classification Tianxiang Zhao Xiang Zhang Suhang Wang 35 35 0 23 Feb 2022
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 169 1,078 0 13 Feb 2020
Auto-GNN: Neural Architecture Search of Graph Neural Networks Kaixiong Zhou Qingquan Song Xiao Huang Xia Hu GNN 61 178 0 07 Sep 2019
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 110 716 0 13 Jun 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 273 1,944 0 09 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 353 11,684 0 09 Mar 2017