Factorizable Graph Convolutional Networks

12 October 2020

Papers citing "Factorizable Graph Convolutional Networks"

34 / 34 papers shown

Title
Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Mao Wang Tao Wu Xingping Xian Shaojie Qiao Weina Niu Canyixing Cui 34 0 0 23 Apr 2025
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 47 2 0 25 Oct 2024
AGFormer: Efficient Graph Representation with Anchor-Graph Transformer Bo Jiang Fei Xu Ziyan Zhang Jin Tang Feiping Nie 31 4 0 12 May 2023
Segment Anything in Non-Euclidean Domains: Challenges and Opportunities Yongcheng Jing Xinchao Wang Dacheng Tao 45 21 0 23 Apr 2023
EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning Chenxin Xu R. Tan Yuhong Tan Siheng Chen Yu Wang Xinchao Wang Yanfeng Wang 30 96 0 20 Mar 2023
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network Wendong Bi Bingbing Xu Xiaoqian Sun Li Xu Huawei Shen Xueqi Cheng 22 16 0 02 Feb 2023
TopoImb: Toward Topology-level Imbalance in Learning from Graphs Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang AI4CE 30 11 0 16 Dec 2022
Disentangled Representation Learning Xin Wang Hong Chen Siao Tang Zihao Wu Wenwu Zhu DRL 35 78 0 21 Nov 2022
Fast Graph Generation via Spectral Diffusion Tianze Luo Zhanfeng Mo Sinno Jialin Pan DiffM 13 22 0 16 Nov 2022
Dataset Distillation via Factorization Songhua Liu Kai Wang Xingyi Yang Jingwen Ye Xinchao Wang DD 126 141 0 30 Oct 2022
Deep Model Reassembly Xingyi Yang Zhou Daquan Songhua Liu Jingwen Ye Xinchao Wang MoMe 20 120 0 24 Oct 2022
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning Dongze Lian Daquan Zhou Jiashi Feng Xinchao Wang 36 247 0 17 Oct 2022
DSLA: Dynamic smooth label assignment for efficient anchor-free object detection Hu Su Yonghao He Rui Jiang Jiabin Zhang W. Zou Bin Fan 16 23 0 01 Aug 2022
Learning Graph Neural Networks for Image Style Transfer Yongcheng Jing Yining Mao Yiding Yang Yibing Zhan Xiuming Zhang Xinchao Wang Dacheng Tao 41 55 0 24 Jul 2022
Factorizing Knowledge in Neural Networks Xingyi Yang Jingwen Ye Xinchao Wang MoMe 41 121 0 04 Jul 2022
Slimmable Domain Adaptation Rang Meng Weijie Chen Shicai Yang Jie Song Luojun Lin Di Xie Shiliang Pu Xinchao Wang Mingli Song Yueting Zhuang 26 12 0 14 Jun 2022
Learning Domain Adaptive Object Detection with Probabilistic Teacher Meilin Chen Weijie Chen Shicai Yang Jie Song Xinchao Wang ... Yunfeng Yan Donglian Qi Yueting Zhuang Di Xie Shiliang Pu 54 74 0 13 Jun 2022
Model Degradation Hinders Deep Graph Neural Networks Wentao Zhang Zeang Sheng Ziqi Yin Yuezihan Jiang Yikuan Xia Jun Gao Zhi-Xin Yang Bin Cui GNN AI4CE 26 39 0 09 Jun 2022
Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power System Kaixuan Chen Shunyu Liu Na Yu Rong Yan Quan Zhang Jie Song Zunlei Feng Mingli Song OOD 13 4 0 12 May 2022
Unified GCNs: Towards Connecting GCNs with CNNs Ziyan Zhang Bo Jiang Bin Luo GNN 25 1 0 26 Apr 2022
Exploring Edge Disentanglement for Node Classification Tianxiang Zhao Xiang Zhang Suhang Wang 32 35 0 23 Feb 2022
MarkovGNN: Graph Neural Networks on Markov Diffusion Md. Khaledur Rahman Abhigya Agrawal A. Azad GNN BDL 29 2 0 05 Feb 2022
Towards Quantum Graph Neural Networks: An Ego-Graph Learning Approach Xing Ai Zhihong Zhang Luzhe Sun Junchi Yan Edwin R. Hancock GNN 39 11 0 13 Jan 2022
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network Haoyang Li Xin Wang Ziwei Zhang Wenwu Zhu OODD OOD 26 97 0 07 Dec 2021
TCGL: Temporal Contrastive Graph for Self-supervised Video Representation Learning Yang Liu Keze Wang Lingbo Liu Hao Lan Liang Lin SSL AI4TS 53 113 0 07 Dec 2021
Equivariant Subgraph Aggregation Networks Beatrice Bevilacqua Fabrizio Frasca Derek Lim Balasubramaniam Srinivasan Chen Cai G. Balamurugan M. Bronstein Haggai Maron 53 175 0 06 Oct 2021
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks Yongcheng Jing Yiding Yang Xinchao Wang Xiuming Zhang Dacheng Tao 16 38 0 27 Sep 2021
GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction Lirong Wu Haitao Lin Zhangyang Gao Cheng Tan Stan. Z. Li SSL 6 46 0 21 Jun 2021
Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking Yiding Yang Zhou Ren Haoxiang Li Chunluan Zhou Xinchao Wang G. Hua 3DH 19 66 0 07 Jun 2021
Training Generative Adversarial Networks in One Stage Chengchao Shen Youtan Yin Xinchao Wang Xubin Li Jie Song Xiuming Zhang GAN 23 14 0 28 Feb 2021
SPAGAN: Shortest Path Graph Attention Network Yiding Yang Xinchao Wang Xiuming Zhang Junsong Yuan Dacheng Tao GNN 141 96 0 10 Jan 2021
Distilling Knowledge from Graph Convolutional Networks Yiding Yang Jiayan Qiu Xiuming Zhang Dacheng Tao Xinchao Wang 160 226 0 23 Mar 2020
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 224 1,338 0 12 Feb 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016