Large-Scale Learnable Graph Convolutional Networks

12 August 2018

Papers citing "Large-Scale Learnable Graph Convolutional Networks"

50 / 195 papers shown

Title
Deep Image Clustering with Contrastive Learning and Multi-scale Graph Convolutional Networks Yuan Xu Dong Huang Changdong Wang Jianhuang Lai SSL 28 18 0 14 Jul 2022
ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs Limei Wang Yi Liu Yu-Ching Lin Hao Liu Shuiwang Ji GNN 52 89 0 17 Jun 2022
GraphFM: Improving Large-Scale GNN Training via Feature Momentum Haiyang Yu Limei Wang Bokun Wang Meng Liu Tianbao Yang Shuiwang Ji GNN AI4CE 37 39 0 14 Jun 2022
SS-GNN: A Simple-Structured Graph Neural Network for Affinity Prediction Shuke Zhang Yan Jin Tianmeng Liu Qi Wang Zhaohui Zhang Shuliang Zhao Bo Shan 33 32 0 25 May 2022
Label-invariant Augmentation for Semi-Supervised Graph Classification Han Yue Chunhui Zhang Chuxu Zhang Hongfu Liu 47 31 0 19 May 2022
LPGNet: Link Private Graph Networks for Node Classification Aashish Kolluri Teodora Baluta Bryan Hooi Prateek Saxena 35 24 0 06 May 2022
Unified GCNs: Towards Connecting GCNs with CNNs Ziyan Zhang Bo Jiang Bin Luo GNN 31 1 0 26 Apr 2022
Graph Convolutional Network Based Semi-Supervised Learning on Multi-Speaker Meeting Data Fuchuan Tong Siqi Zheng Min Zhang Yafeng Chen Hongbin Suo Q. Hong Lin Li SSL 22 7 0 25 Apr 2022
Remote Sensing Cross-Modal Text-Image Retrieval Based on Global and Local Information Zhiqiang Yuan Wenkai Zhang Changyuan Tian Xuee Rong Zhengyuan Zhang Hongqi Wang Kun Fu Xian Sun 27 122 0 21 Apr 2022
Neural Structured Prediction for Inductive Node Classification Meng Qu Huiyu Cai Jian Tang BDL GNN 13 18 0 15 Apr 2022
Reinforcement learning on graphs: A survey Mingshuo Nie Dongming Chen Dongqi Wang 44 45 0 13 Apr 2022
Graph Ordering Attention Networks Michail Chatzianastasis J. Lutzeyer George Dasoulas Michalis Vazirgiannis GNN 27 18 0 11 Apr 2022
Hierarchical Graph Representation Learning for the Prediction of Drug-Target Binding Affinity Zhaoyang Chu Shichao Liu Wen Zhang 25 41 0 22 Mar 2022
ZOOMER: Boosting Retrieval on Web-scale Graphs by Regions of Interest Yuezihan Jiang Yu Cheng Hanyu Zhao Wentao Zhang Xupeng Miao Yu He Liang Wang Zhi-Xin Yang Bin Cui GNN 26 10 0 20 Mar 2022
PathSAGE: Spatial Graph Attention Neural Networks With Random Path Sampling Junhua Ma Jiajun Li Xueming Li Xu Li 3DPC GNN 13 1 0 11 Mar 2022
FMP: Toward Fair Graph Message Passing against Topology Bias Zhimeng Jiang Xiaotian Han Chao Fan Zirui Liu Na Zou Ali Mostafavi Xia Hu 24 48 0 08 Feb 2022
Neighbor2Seq: Deep Learning on Massive Graphs by Transforming Neighbors to Sequences Meng Liu Shuiwang Ji GNN 22 3 0 07 Feb 2022
MotifExplainer: a Motif-based Graph Neural Network Explainer Zhaoning Yu Hongyang Gao 44 15 0 01 Feb 2022
Measuring and Sampling: A Metric-guided Subgraph Learning Framework for Graph Neural Network Jiyang Bai Yuxiang Ren Jiawei Zhang 38 3 0 30 Dec 2021
GraphPAS: Parallel Architecture Search for Graph Neural Networks Jiamin Chen Jianliang Gao Yibo Chen Moctard Babatounde Oloulade Tengfei Lyu Zhao Li GNN 18 21 0 07 Dec 2021
Learning Connectivity with Graph Convolutional Networks for Skeleton-based Action Recognition H. Sahbi GNN 38 27 0 06 Dec 2021
Structure-Aware Label Smoothing for Graph Neural Networks Yiwei Wang Yujun Cai Keli Zhang Wei Wang Henghui Ding Muhao Chen Jing Tang Bryan Hooi 34 3 0 01 Dec 2021
Topological Relational Learning on Graphs Yuzhou Chen Baris Coskunuzer Yulia R. Gel 33 38 0 29 Oct 2021
GACAN: Graph Attention-Convolution-Attention Networks for Traffic Forecasting Based on Multi-granularity Time Series Sikai Zhang Hong Zheng H. Su Bo Yan Jiamou Liu Song Yang AI4TS 21 3 0 27 Oct 2021
DPGNN: Dual-Perception Graph Neural Network for Representation Learning Li Zhou Wenyu Chen DingYi Zeng Shaohuan Cheng Wanlong Liu Malu Zhang Hong Qu 26 8 0 15 Oct 2021
Graph Meta Network for Multi-Behavior Recommendation Lianghao Xia Yong-mei Xu Chao Huang Peng Dai Liefeng Bo AI4CE 64 187 0 08 Oct 2021
Graph Pointer Neural Networks Tian-bao Yang Yujing Wang Z. Yue Yaming Yang Yunhai Tong Jing Bai 24 34 0 03 Oct 2021
Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs Zhao Xu Youzhi Luo Xuan Zhang Xinyi Xu Yaochen Xie Meng Liu Kaleb Dickerson Cheng Deng Maho Nakata Shuiwang Ji 52 39 0 30 Sep 2021
G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency Yongan Zhang Haoran You Yonggan Fu Tong Geng Ang Li Yingyan Lin GNN 21 28 0 18 Sep 2021
Adaptive Label Smoothing To Regularize Large-Scale Graph Training Kaixiong Zhou Ninghao Liu Fan Yang Zirui Liu Rui Chen Li Li Soo-Hyun Choi Xia Hu AI4CE 29 19 0 30 Aug 2021
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study Tianlong Chen Kaixiong Zhou Keyu Duan Wenqing Zheng Peihao Wang Xia Hu Zhangyang Wang AAML GNN 32 63 0 24 Aug 2021
Multistream Graph Attention Networks for Wind Speed Forecasting Dogan Aykas S. Mehrkanoon AI4TS 32 20 0 16 Aug 2021
LT-OCF: Learnable-Time ODE-based Collaborative Filtering Jeongwhan Choi Jinsung Jeon Noseong Park 32 30 0 08 Aug 2021
Graph Attention Network For Microwave Imaging of Brain Anomaly Ahmed Al-Saffar L. Guo A. Abbosh 19 1 0 04 Aug 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 53 18 0 21 Jul 2021
Group Contrastive Self-Supervised Learning on Graphs Xinyi Xu Cheng Deng Yaochen Xie Shuiwang Ji SSL 14 17 0 20 Jul 2021
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks Kaixiong Zhou Xiao Shi Huang Daochen Zha Rui Chen Li Li Soo-Hyun Choi Xia Hu GNN AI4CE 38 114 0 06 Jul 2021
Training Graph Neural Networks with 1000 Layers Guohao Li Matthias Muller Guohao Li V. Koltun GNN AI4CE 51 235 0 14 Jun 2021
Graph Convolutional Networks in Feature Space for Image Deblurring and Super-resolution Boyan Xu Hujun Yin GNN 40 9 0 21 May 2021
FedGL: Federated Graph Learning Framework with Global Self-Supervision Chuan Chen Weibo Hu Ziyue Xu Zibin Zheng FedML 27 54 0 07 May 2021
Graph Learning: A Survey Feng Xia Ke Sun Shuo Yu Abdul Aziz Liangtian Wan Shirui Pan Huan Liu GNN 26 344 0 03 May 2021
Network Embedding via Deep Prediction Model Xin Sun Zenghui Song Yongbo Yu Junyu Dong Claudia Plant Christian Boehm GNN 22 2 0 27 Apr 2021
GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing Wentao Zhang Yu Shen Zheyu Lin Yang Li Xiaosen Li Wenbin Ouyang Yangyu Tao Zhi-Xin Yang Bin Cui 27 9 0 20 Apr 2021
Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence Qi Qi Youzhi Luo Zhao Xu Shuiwang Ji Tianbao Yang 18 59 0 18 Apr 2021
Bayesian graph convolutional neural networks via tempered MCMC Rohitash Chandra A. Bhagat Manavendra Maharana P. Krivitsky GNN BDL 28 16 0 17 Apr 2021
Search to aggregate neighborhood for graph neural network Huan Zhao Quanming Yao Wei-Wei Tu GNN 35 90 0 14 Apr 2021
Learning Chebyshev Basis in Graph Convolutional Networks for Skeleton-based Action Recognition H. Sahbi GNN 30 0 0 12 Apr 2021
Self-Supervised Learning of Graph Neural Networks: A Unified Review Yaochen Xie Zhao Xu Jingtun Zhang Zhengyang Wang Shuiwang Ji SSL 41 325 0 22 Feb 2021
GIST: Distributed Training for Large-Scale Graph Convolutional Networks Cameron R. Wolfe Jingkang Yang Arindam Chowdhury Chen Dun Artun Bayer Santiago Segarra Anastasios Kyrillidis BDL GNN LRM 54 9 0 20 Feb 2021
On Explainability of Graph Neural Networks via Subgraph Explorations Hao Yuan Haiyang Yu Jie Wang Kang Li Shuiwang Ji FAtt 37 380 0 09 Feb 2021