Large-Scale Learnable Graph Convolutional Networks

12 August 2018

Papers citing "Large-Scale Learnable Graph Convolutional Networks"

50 / 198 papers shown

Title
Learning Chebyshev Basis in Graph Convolutional Networks for Skeleton-based Action Recognition H. Sahbi GNN 135 2 0 12 Apr 2021
Self-Supervised Learning of Graph Neural Networks: A Unified ReviewIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Yaochen Xie Zhao Xu Jingtun Zhang Zhengyang Wang Shuiwang Ji SSL 411 367 0 22 Feb 2021
GIST: Distributed Training for Large-Scale Graph Convolutional NetworksJournal of Applied and Computational Topology (JACT), 2021 Cameron R. Wolfe Jingkang Yang Arindam Chowdhury Chen Dun Artun Bayer Santiago Segarra Anastasios Kyrillidis BDL GNN LRM 172 11 0 20 Feb 2021
On Explainability of Graph Neural Networks via Subgraph ExplorationsInternational Conference on Machine Learning (ICML), 2021 Hao Yuan Haiyang Yu Jie Wang Kang Li Shuiwang Ji FAtt 145 452 0 09 Feb 2021
Spherical Message Passing for 3D Graph NetworksInternational Conference on Learning Representations (ICLR), 2021 Lu Dong Limei Wang Meng Liu Xuan Zhang Bora Oztekin Shuiwang Ji GNN 368 231 0 09 Feb 2021
GraphDF: A Discrete Flow Model for Molecular Graph GenerationInternational Conference on Machine Learning (ICML), 2021 Youzhi Luo Keqiang Yan Shuiwang Ji DRL 368 234 0 01 Feb 2021
GraphEBM: Molecular Graph Generation with Energy-Based Models Meng Liu Keqiang Yan Bora Oztekin Shuiwang Ji 166 97 0 31 Jan 2021
Node2Seq: Towards Trainable Convolutions in Graph Neural Networks Hao Yuan Shuiwang Ji GNN 187 7 0 06 Jan 2021
Action Recognition with Kernel-based Graph Convolutional Networks H. Sahbi GNN 117 1 0 28 Dec 2020
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2020 Binghui Wang Jinyuan Jia Neil Zhenqiang Gong GNN 168 21 0 24 Dec 2020
Graph Neural Networks: Taxonomy, Advances and TrendsACM Transactions on Intelligent Systems and Technology (ACM TIST), 2020 Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 419 158 0 16 Dec 2020
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification Rui Yang Wenrui Dai Chenglin Li Junni Zou H. Xiong 252 24 0 07 Dec 2020
AutoGraph: Automated Graph Neural NetworkInternational Conference on Neural Information Processing (ICONIP), 2020 Yaoman Li Irwin King GNN 100 50 0 23 Nov 2020
GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural NetworksIEEE Transactions on Visualization and Computer Graphics (TVCG), 2020 Zhihua Jin Yong Wang Qianwen Wang Yao Ming Tengfei Ma Huamin Qu HAI 342 40 0 22 Nov 2020
Model Extraction Attacks on Graph Neural Networks: Taxonomy and RealizationACM Asia Conference on Computer and Communications Security (AsiaCCS), 2020 Bang Wu Xiangwen Yang Shirui Pan Lizhen Qu MIACV MLAU 152 63 0 24 Oct 2020
Anisotropic Graph Convolutional Network for Semi-supervised LearningIEEE transactions on multimedia (TMM), 2020 Mahsa Mesgaran Abdessamad BenHamza 108 12 0 20 Oct 2020
Line Graph Neural Networks for Link PredictionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 Lei Cai Jundong Li Jie Wang Shuiwang Ji GNN 271 242 0 20 Oct 2020
Action Sequence Augmentation for Early Graph-based Anomaly DetectionInternational Conference on Information and Knowledge Management (CIKM), 2020 Tong Zhao Bo Ni Wenhao Yu Zhichun Guo Neil Shah Meng Jiang 191 21 0 20 Oct 2020
Topology-Aware Graph Pooling NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 Hongyang Gao Lu Dong Shuiwang Ji 107 101 0 19 Oct 2020
Pose Refinement Graph Convolutional Network for Skeleton-based Action Recognition Shijie Li Jinhui Yi Yazan Abu Farha Juergen Gall 82 36 0 14 Oct 2020
A Unified View on Graph Neural Networks as Graph Signal DenoisingInternational Conference on Information and Knowledge Management (CIKM), 2020 Yao Ma Xiaorui Liu Tong Zhao Yozen Liu Shucheng Zhou Neil Shah AI4CE 195 192 0 05 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to AcceleratorsACM Computing Surveys (ACM CSUR), 2020 S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 360 258 0 30 Sep 2020
Multi-hop Attention Graph Neural Network Guangtao Wang Rex Ying Jing Huang J. Leskovec 244 150 0 29 Sep 2020
Inductive Graph Embeddings through Locality Encodings Nurudin Alvarez-Gonzalez Andreas Kaltenbrunner Vicencc Gómez GNN 39 1 0 26 Sep 2020
Revisiting Graph Convolutional Network on Semi-Supervised Node Classification from an Optimization Perspective Hongwei Zhang Tijin Yan Zenjun Xie Yuanqing Xia Yuan Zhang GNN 169 24 0 24 Sep 2020
Evolutionary Architecture Search for Graph Neural Networks Min Shi David A. Wilson Xingquan Zhu Yu Huang Zhuang Yuan Jianxun Liu Yufei Tang AI4CE 118 24 0 21 Sep 2020
Multi-Level Graph Convolutional Network with Automatic Graph Learning for Hyperspectral Image Classification Sheng Wan Chen Gong Shirui Pan Jie Yang Zhiqiang Wang 80 3 0 19 Sep 2020
C-SAW: A Framework for Graph Sampling and Random Walk on GPUsInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2020 Santosh Pandey Lingda Li A. Hoisie Xin Li Hang Liu 126 63 0 18 Sep 2020
Accelerating Graph Sampling for Graph Machine Learning using GPUsEuropean Conference on Computer Systems (EuroSys), 2020 Abhinav Jangda Sandeep Polisetty Arjun Guha Marco Serafini GNN 168 81 0 14 Sep 2020
CatGCN: Graph Convolutional Networks with Categorical Node FeaturesIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020 Weijia Chen Fuli Feng Qifan Wang Xiangnan He Chonggang Song Guohui Ling Yongdong Zhang GNN 94 26 0 11 Sep 2020
LFGCN: Levitating over Graphs with Levy FlightsIndustrial Conference on Data Mining (IDM), 2020 Yuzhou Chen Yulia R. Gel Konstantin Avrachenkov 86 8 0 04 Sep 2020
Graph Convolutional Neural Networks with Node Transition Probability-based Message Passing and DropNode RegularizationExpert systems with applications (ESWA), 2020 T. Do Duc Minh Nguyen Giannis Bekoulis Adrian Munteanu Nikos Deligiannis 145 42 0 28 Aug 2020
Simplifying Architecture Search for Graph Neural NetworkInternational Conference on Information and Knowledge Management (CIKM), 2020 Huan Zhao Lanning Wei Quanming Yao GNN AI4CE 168 57 0 26 Aug 2020
Deep Neural Network for 3D Surface Segmentation based on Contour Tree HierarchySDM (SDM), 2020 Wenchong He Arpan Man Sainju Zhe Jiang Da Yan 137 11 0 25 Aug 2020
Towards Deeper Graph Neural NetworksKnowledge Discovery and Data Mining (KDD), 2020 Meng Liu Hongyang Gao Shuiwang Ji GNN AI4CE 256 659 0 18 Jul 2020
Kronecker Attention NetworksKnowledge Discovery and Data Mining (KDD), 2020 Hongyang Gao Zhengyang Wang Shuiwang Ji 96 33 0 16 Jul 2020
Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query GenerationInternational Conference on Machine Learning (ICML), 2020 Florence Regol Soumyasundar Pal Yingxue Zhang Mark Coates 91 12 0 09 Jul 2020
Pre-Trained Models for Heterogeneous Information Networks Yang Fang Xiang Zhao Yifan Chen W. Xiao Maarten de Rijke SSL 142 1 0 07 Jul 2020
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks Xiao Wang Meiqi Zhu Deyu Bo Peng Cui C. Shi Jian Pei BDL 249 553 0 05 Jul 2020
AEGCN: An Autoencoder-Constrained Graph Convolutional Network Mingyuan Ma Sen Na Hongyu Wang GNN 178 31 0 03 Jul 2020
Scaling Graph Neural Networks with Approximate PageRank Aleksandar Bojchevski Johannes Klicpera Bryan Perozzi Amol Kapoor Martin J. Blais Benedek Rozemberczki Michal Lukasik Stephan Günnemann GNN 300 401 0 03 Jul 2020
Policy-GNN: Aggregation Optimization for Graph Neural Networks Kwei-Herng Lai Daochen Zha Kaixiong Zhou Helen Zhou 166 101 0 26 Jun 2020
GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals Yimin Hou Shuyue Jia Xiangmin Lun Hanrui Yang Yan Shi Yongqian Li Shu Zhang Jinglei Lv 129 135 0 16 Jun 2020
DeeperGCN: All You Need to Train Deeper GCNs Guohao Li Chenxin Xiong Ali K. Thabet Guohao Li GNN 478 55 0 13 Jun 2020
Towards Deeper Graph Neural Networks with Differentiable Group NormalizationNeural Information Processing Systems (NeurIPS), 2020 Kaixiong Zhou Xiao Huang Yuening Li Daochen Zha Rui Chen Helen Zhou 180 218 0 12 Jun 2020
Data Augmentation for Graph Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2020 Tong Zhao Yozen Liu Leonardo Neves Oliver J. Woodford Meng Jiang Neil Shah GNN 260 453 0 11 Jun 2020
Non-Local Graph Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 Meng Liu Zhengyang Wang Shuiwang Ji 217 182 0 29 May 2020
Adversarial Attack on Hierarchical Graph Pooling Neural Networks Haoteng Tang Guixiang Ma Yurong Chen Lei Guo Wei Wang Bo Zeng Chen Tang AAML 154 31 0 23 May 2020
Graphs, Entities, and Step Mixture Kyuyong Shin Wonyoung Shin Jung-Woo Ha Sunyoung Kwon 66 1 0 18 May 2020
Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay Fan Zhou Chengtai Cao CLL 119 10 0 22 Mar 2020