Factorizable Graph Convolutional Networks

12 October 2020

Papers citing "Factorizable Graph Convolutional Networks"

50 / 77 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 129 0 0 23 Apr 2025
Disentangled and Self-Explainable Node Representation Learning Simone Piaggesi Andre' Panisson Megha Khosla 60 0 0 28 Oct 2024
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 153 5 0 25 Oct 2024
PROXI: Challenging the GNNs for Link Prediction Astrit Tola Jack Myrick Baris Coskunuzer 90 0 0 02 Oct 2024
SITUATE: Indoor Human Trajectory Prediction through Geometric Features and Self-Supervised Vision Representation Luigi Capogrosso Andrea Toaiari Andrea Avogaro Uzair Khan Aditya Jivoji Franco Fummi Marco Cristani 81 0 0 01 Sep 2024
DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning Yifan Wang Xiao Luo Chong Chen Xian-Sheng Hua Ming Zhang Wei Ju 83 24 0 19 Jul 2024
Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang 54 3 0 14 Jun 2024
Fair Graph Representation Learning via Sensitive Attribute Disentanglement Yuchang Zhu Jintang Li Zibin Zheng Liang Chen 55 3 0 11 May 2024
Unsupervised Graph Neural Architecture Search with Disentangled Self-supervision Zeyang Zhang Xin Eric Wang Ziwei Zhang Guangyao Shen Shiqi Shen Wenwu Zhu 99 12 0 08 Mar 2024
Disambiguated Node Classification with Graph Neural Networks Tianxiang Zhao Xiang Zhang Suhang Wang AI4CE 81 4 0 13 Feb 2024
Flexible Infinite-Width Graph Convolutional Neural Networks Ben Anson Edward Milsom Laurence Aitchison SSL GNN 71 1 0 09 Feb 2024
GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts Shirley Wu Kaidi Cao Bruno Ribeiro James Zou J. Leskovec OOD 73 3 0 07 Dec 2023
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization Haonan Yuan Qingyun Sun Xingcheng Fu Ziwei Zhang Cheng Ji Hao Peng Jianxin Li OOD 91 22 0 18 Nov 2023
Concept-free Causal Disentanglement with Variational Graph Auto-Encoder Jingyun Feng Lin Zhang Lili Yang BDL CoGe CML 107 1 0 17 Nov 2023
LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs? Zeyang Zhang Xin Eric Wang Ziwei Zhang Haoyang Li Yi Qin Wenwu Zhu 102 28 0 26 Oct 2023
Graph Out-of-Distribution Generalization with Controllable Data Augmentation Bin Lu Xiaoying Gan Ze Zhao Shiyu Liang Luoyi Fu Xinbing Wang Cheng Zhou 111 8 0 16 Aug 2023
Contrastive Disentangled Learning on Graph for Node Classification Xiaojuan Zhang Jun Fu Shuang Li SSL 61 1 0 20 Jun 2023
Variational Disentangled Graph Auto-Encoders for Link Prediction Jun Fu Xiaojuan Zhang Shuang Li Dali Chen CML DRL 62 3 0 20 Jun 2023
AGFormer: Efficient Graph Representation with Anchor-Graph Transformer Bo Jiang Fei Xu Ziyan Zhang Jin Tang Feiping Nie 72 5 0 12 May 2023
Deep Graph Reprogramming Yongcheng Jing Chongbin Yuan Li Ju Yiding Yang Xinchao Wang Dacheng Tao 142 38 0 28 Apr 2023
Segment Anything in Non-Euclidean Domains: Challenges and Opportunities Yongcheng Jing Xinchao Wang Dacheng Tao 100 22 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 102 107 0 20 Mar 2023
Partial Network Cloning Jingwen Ye Songhua Liu Xinchao Wang CLL 87 14 0 19 Mar 2023
Schema Inference for Interpretable Image Classification Haofei Zhang Mengqi Xue Xiaokang Liu Kaixuan Chen Mingli Song Mingli Song OCL 71 3 0 12 Mar 2023
Learning Topology-Specific Experts for Molecular Property Prediction Seon Gyeom Kim Dongha Lee SeongKu Kang Seonghyeon Lee Hwanjo Yu AAML 40 13 0 27 Feb 2023
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network Wendong Bi Bingbing Xu Xiaoqian Sun Li Xu Huawei Shen Xueqi Cheng 120 16 0 02 Feb 2023
TopoImb: Toward Topology-level Imbalance in Learning from Graphs Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang AI4CE 87 12 0 16 Dec 2022
Disentangled Representation Learning Xin Eric Wang Hong Chen Siao Tang Zihao Wu Wenwu Zhu DRL 164 87 0 21 Nov 2022
Fast Graph Generation via Spectral Diffusion Tianze Luo Zhanfeng Mo Sinno Jialin Pan DiffM 94 27 0 16 Nov 2022
DisPositioNet: Disentangled Pose and Identity in Semantic Image Manipulation Azade Farshad Yousef Yeganeh Helisa Dhamo F. Tombari Nassir Navab DiffM OCL DRL CoGe 98 4 0 10 Nov 2022
Dataset Distillation via Factorization Songhua Liu Kai Wang Xingyi Yang Jingwen Ye Xinchao Wang DD 217 146 0 30 Oct 2022
Deep Model Reassembly Xingyi Yang Zhou Daquan Songhua Liu Jingwen Ye Xinchao Wang MoMe 98 129 0 24 Oct 2022
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning Dongze Lian Daquan Zhou Jiashi Feng Xinchao Wang 112 264 0 17 Oct 2022
Training Spiking Neural Networks with Local Tandem Learning Qu Yang Jibin Wu Malu Zhang Yansong Chua Xinchao Wang Haizhou Li 106 40 0 10 Oct 2022
Attention Diversification for Domain Generalization Rang Meng Xianfeng Li Weijie Chen Shicai Yang Mingli Song Xinchao Wang Lei Zhang Mingli Song Di Xie Shiliang Pu 78 41 0 09 Oct 2022
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure Shaohua Fan Xiao Wang Yanhu Mo Chuan Shi Jian Tang CML OOD AI4CE 127 97 0 28 Sep 2022
Link Prediction on Heterophilic Graphs via Disentangled Representation Learning Shijie Zhou Zhimeng Guo Charu C. Aggarwal Xiang Zhang Suhang Wang 67 15 0 03 Aug 2022
DSLA: Dynamic smooth label assignment for efficient anchor-free object detection Hu Su Yonghao He Rui Jiang Jiabin Zhang W. Zou Bin Fan 49 25 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 130 56 0 24 Jul 2022
Learning with Recoverable Forgetting Jingwen Ye Yifang Fu Mingli Song Xingyi Yang Songhua Liu Xin Jin Mingli Song Xinchao Wang CLL KELM 113 42 0 17 Jul 2022
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation Songhua Liu Jingwen Ye Sucheng Ren Xinchao Wang 93 44 0 13 Jul 2022
Factorizing Knowledge in Neural Networks Xingyi Yang Jingwen Ye Xinchao Wang MoMe 133 126 0 04 Jul 2022
Slimmable Domain Adaptation Rang Meng Weijie Chen Shicai Yang Mingli Song Luojun Lin Di Xie Shiliang Pu Xinchao Wang Mingli Song Yueting Zhuang 75 12 0 14 Jun 2022
Learning Domain Adaptive Object Detection with Probabilistic Teacher Meilin Chen Weijie Chen Shicai Yang Mingli Song Xinchao Wang ... Yunfeng Yan Donglian Qi Yueting Zhuang Di Xie Shiliang Pu 124 80 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 Tengjiao Wang GNN AI4CE 82 43 0 09 Jun 2022
Decoupled Self-supervised Learning for Non-Homophilous Graphs Teng Xiao Zhengyu Chen Zhimeng Guo Zeyang Zhuang Suhang Wang BDL SSL 97 18 0 07 Jun 2022
Automatic Relation-aware Graph Network Proliferation Shaofei Cai Liang Li Xinzhe Han Jiebo Luo Zhengjun Zha Qingming Huang GNN 62 8 0 31 May 2022
ES-GNN: Generalizing Graph Neural Networks Beyond Homophily with Edge Splitting Jingwei Guo Kaizhu Huang Rui Zhang Xinping Yi AAML 117 5 0 27 May 2022
Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power System Kaixuan Chen Shunyu Liu Na Yu Rong Yan Quan Zhang Mingli Song Zunlei Feng Mingli Song OOD 58 5 0 12 May 2022
Unified GCNs: Towards Connecting GCNs with CNNs Ziyan Zhang Bo Jiang Bin Luo GNN 83 1 0 26 Apr 2022