AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

5 July 2020

Peng Cui

Papers citing "AM-GCN: Adaptive Multi-channel Graph Convolutional Networks"

50 / 96 papers shown

Title
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Zihan Chen Xingbo Fu Yushun Dong Jundong Li Cong Shen FedML 69 0 0 29 Apr 2025
GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs Songwei Zhao Yuan Jiang Zijing Zhang Yang Yu Hechang Chen 19 0 0 09 Apr 2025
GOTHAM: Graph Class Incremental Learning Framework under Weak Supervision Aditya Hemant Shahane Prathosh A.P Sandeep Kumar CLL 26 0 0 07 Apr 2025
GraphFM: Graph Factorization Machines for Feature Interaction Modeling Shu Wu Zekun Li Yunyue Su Zeyu Cui Xiaoyu Zhang Liang Wang 64 22 0 24 Feb 2025
Rethinking Tokenized Graph Transformers for Node Classification Jinsong Chen Chenyang Li Gaichao Li J. Hopcroft Kun He 53 0 0 12 Feb 2025
GaGSL: Global-augmented Graph Structure Learning via Graph Information Bottleneck Shuangjie Li Jiangqing Song Baoming Zhang Gaoli Ruan Junyuan Xie Chongjun Wang 23 0 0 07 Nov 2024
Bi-Level Graph Structure Learning for Next POI Recommendation Liang Wang Shu Wu Qiang Liu Y. X. Zhu Xiang Tao M. Zhang Liang Wang 35 5 0 02 Nov 2024
Enhancing Multimodal Medical Image Classification using Cross-Graph Modal Contrastive Learning Jun-En Ding Chien-Chin Hsu Feng Liu Shuqiang Wang Feng Liu 54 0 0 23 Oct 2024
TIGER: Temporally Improved Graph Entity Linker Pengyu Zhang Congfeng Cao Paul Groth 16 0 0 11 Oct 2024
IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks Junchao Lin Zenan Ling Zhanbo Feng Feng Zhou Jingwen Xu Feng Zhou Tianqi Hou Zhenyu Liao Robert C. Qiu GNN AI4CE 52 0 0 11 Oct 2024
Battery GraphNets : Relational Learning for Lithium-ion Batteries(LiBs) Life Estimation Sakhinana Sagar Srinivas Rajat Kumar Sarkar Venkataramana Runkana 32 0 0 14 Aug 2024
SpreadFGL: Edge-Client Collaborative Federated Graph Learning with Adaptive Neighbor Generation Luying Zhong Yueyang Pi Zheyi Chen Zhengxin Yu Wang Miao Xing Chen Geyong Min FedML 28 1 0 14 Jul 2024
Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers Jinsong Chen Hanpeng Liu J. Hopcroft Kun He 29 1 0 27 Jun 2024
NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification Jinsong Chen Siyu Jiang Kun He 39 1 0 27 Jun 2024
Disentangled Hyperbolic Representation Learning for Heterogeneous Graphs Qijie Bai Changli Nie Haiwei Zhang Zhicheng Dou Xiaojie Yuan 35 0 0 14 Jun 2024
Self-Guided Robust Graph Structure Refinement Yeonjun In Kanghoon Yoon Kibum Kim Kijung Shin Chanyoung Park AAML 21 7 0 19 Feb 2024
DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations Jinlu Wang Jipeng Guo Yanfeng Sun Junbin Gao Shaofan Wang Yachao Yang Baocai Yin AI4CE 25 2 0 28 Jan 2024
Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering Jingwei Guo Kaizhu Huang Xinping Yi Zixian Su Rui Zhang 24 3 0 17 Jan 2024
Neural Gaussian Similarity Modeling for Differential Graph Structure Learning Xiaolong Fan Maoguo Gong Yue Wu Zedong Tang Jie Liu 25 0 0 15 Dec 2023
Parkinson's Disease Classification Using Contrastive Graph Cross-View Learning with Multimodal Fusion of SPECT Images and Clinical Features Jun-En Ding Chien-Chin Hsu Feng Liu 19 4 0 25 Nov 2023
Mixture of Weak & Strong Experts on Graphs Hanqing Zeng Hanjia Lyu Diyi Hu Yinglong Xia Jiebo Luo 23 3 0 09 Nov 2023
Resist Label Noise with PGM for Graph Neural Networks Qingqing Ge Jianxiang Yu Zeyuan Zhao Xiang Li NoLa AAML 18 0 0 03 Nov 2023
SignGT: Signed Attention-based Graph Transformer for Graph Representation Learning Jinsong Chen Gaichao Li J. Hopcroft Kun He SLR 13 5 0 17 Oct 2023
Data-centric Graph Learning: A Survey Jixi Liu Deyu Bo Cheng Yang Haoran Dai Qi Zhang Yixin Xiao Yufei Peng Chuan Shi GNN 27 19 0 08 Oct 2023
The Expressive Power of Graph Neural Networks: A Survey Bingxue Zhang Changjun Fan Shixuan Liu Kuihua Huang Xiang Zhao Jin-Yu Huang Zhong Liu 40 19 0 16 Aug 2023
SAILOR: Structural Augmentation Based Tail Node Representation Learning Jie Liao Jintang Li Liang Chen Bing Wu Yatao Bian Zibin Zheng 24 3 0 13 Aug 2023
Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness Shide Du Zihan Fang Shiyang Lan Yanchao Tan Manuel Günther Shiping Wang Wenzhong Guo 18 3 0 07 Aug 2023
Collaborative Graph Neural Networks for Attributed Network Embedding Qiaoyu Tan Xin Zhang Xiao Shi Huang Haojun Chen Jundong Li Xia Hu 30 11 0 22 Jul 2023
Similarity Preserving Adversarial Graph Contrastive Learning Yeonjun In Kanghoon Yoon Chanyoung Park AAML 16 9 0 24 Jun 2023
Convolutional neural network based on sparse graph attention mechanism for MRI super-resolution X. Hua Z. Du Hongfeng Yu Jixin Maa SupR MedIm 18 0 0 29 May 2023
Attributed Multi-order Graph Convolutional Network for Heterogeneous Graphs Zhaoliang Chen Zhihao Wu Luying Zhong Claudia Plant Shiping Wang Wenzhong Guo 15 9 0 13 Apr 2023
Enhancing Clinical Evidence Recommendation with Multi-Channel Heterogeneous Learning on Evidence Graphs Maolin Luo Xiang Zhang 11 0 0 03 Apr 2023
SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization Dongcheng Zou Hao Peng Xiang Huang Renyu Yang Jianxin Li Jia Wu Chun-Yi Liu Philip S. Yu 17 44 0 17 Mar 2023
Graph Contrastive Learning under Heterophily via Graph Filters Wenhan Yang Baharan Mirzasoleiman 12 2 0 11 Mar 2023
Steering Graph Neural Networks with Pinning Control Acong Zhang P. Li Guanrong Chen LLMSV 19 0 0 02 Mar 2023
Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure Ryoma Sato 28 5 0 26 Jan 2023
Beyond Graph Convolutional Network: An Interpretable Regularizer-centered Optimization Framework Shiping Wang Zhihao Wu Yuhong Chen Yongzhe Chen GNN BDL 24 13 0 11 Jan 2023
T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation Cuiying Huo Di Jin Yawen Li Dongxiao He Yubin Yang Lingfei Wu 9 35 0 24 Dec 2022
Multi-view Graph Convolutional Networks with Differentiable Node Selection Zhaoliang Chen Lele Fu Shunxin Xiao Shiping Wang Claudia Plant Wenzhong Guo 24 11 0 09 Dec 2022
Semantic Graph Neural Network with Multi-measure Learning for Semi-supervised Classification Jun-Liang Lin Yuan Wan Jingwen Xu X. Qi 15 0 0 04 Dec 2022
Learnable Graph Convolutional Network and Feature Fusion for Multi-view Learning Zhaoliang Chen Lele Fu J. Yao Wenzhong Guo Claudia Plant Shiping Wang 20 117 0 16 Nov 2022
Neighborhood Convolutional Network: A New Paradigm of Graph Neural Networks for Node Classification Jinsong Chen Boyu Li Kun He GNN 10 0 0 15 Nov 2022
Self-Supervised Graph Structure Refinement for Graph Neural Networks Jianan Zhao Qianlong Wen Mingxuan Ju Chuxu Zhang Yanfang Ye 30 20 0 12 Nov 2022
HFN: Heterogeneous Feature Network for Multivariate Time Series Anomaly Detection Jun Zhan Chengkun Wu Canqun Yang Qiucheng Miao Xiandong Ma AI4TS 16 2 0 01 Nov 2022
The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection Zhixun Li Dingshuo Chen Qiang Liu Shu Wu AAML 29 15 0 22 Oct 2022
Adaptive Dual Channel Convolution Hypergraph Representation Learning for Technological Intellectual Property Yuxin Liu Yawen Li Yingxia Shao Zeli Guan 11 0 0 12 Oct 2022
Towards Consistency and Complementarity: A Multiview Graph Information Bottleneck Approach Xiaolong Fan Maoguo Gong Yue Wu Mingyang Zhang Hao Li Xiangming Jiang 11 0 0 11 Oct 2022
Structure-Preserving Graph Representation Learning Ruiyi Fang Liangjiang Wen Zhao Kang Jianzhuang Liu 21 22 0 02 Sep 2022
Multiplex Heterogeneous Graph Convolutional Network YU Peng Chaofan Fu Yanwei Yu Chao Huang Zhongying Zhao Junyu Dong 19 65 0 12 Aug 2022
Mid-level Representation Enhancement and Graph Embedded Uncertainty Suppressing for Facial Expression Recognition Jie Lei Zhao Liu Zeyu Zou Tongtong Li Xu Juan Shuai Wang Guoyu Yang Zunlei Feng CVBM 25 5 0 27 Jul 2022