Adaptive Sampling Towards Fast Graph Representation Learning

14 September 2018

Tong Zhang

Papers citing "Adaptive Sampling Towards Fast Graph Representation Learning"

33 / 83 papers shown

Title
Sampling methods for efficient training of graph convolutional networks: A survey Xin Liu Yurui Lai Lei Deng Guoqi Li Xiaochun Ye Xiaochun Ye GNN 29 100 0 10 Mar 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
Action Recognition with Kernel-based Graph Convolutional Networks H. Sahbi GNN 29 1 0 28 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 117 0 16 Dec 2020
Hierarchical Graph Capsule Network Jinyu Yang P. Zhao Yu Rong Chao-chao Yan Chunyuan Li Hehuan Ma Junzhou Huang 24 30 0 16 Dec 2020
APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding Xuhong Wang Ding Lyu Mengjian Li Yang Xia Qi Yang ... Xinguang Wang Ping Cui Yupu Yang Bowen Sun Zhenyu Guo GNN 29 136 0 23 Nov 2020
Learning to Drop: Robust Graph Neural Network via Topological Denoising Dongsheng Luo Wei Cheng Wenchao Yu Bo Zong Jingchao Ni Haifeng Chen Xiang Zhang OOD 16 258 0 13 Nov 2020
Graph Information Bottleneck for Subgraph Recognition Junchi Yu Tingyang Xu Yu Rong Yatao Bian Junzhou Huang Ran He 30 153 0 12 Oct 2020
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs Da Zheng Chao Ma Minjie Wang Jinjing Zhou Qidong Su Xiang Song Quan Gan Zheng-Wei Zhang George Karypis FedML GNN 24 243 0 11 Oct 2020
C-SAW: A Framework for Graph Sampling and Random Walk on GPUs Santosh Pandey Lingda Li A. Hoisie Xin Li Hang Liu 28 60 0 18 Sep 2020
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization Qi Zhu Carl Yang Yidan Xu Haonan Wang Chao Zhang Jiawei Han 42 117 0 11 Sep 2020
Rethinking Graph Regularization for Graph Neural Networks Han Yang Kaili Ma James Cheng AI4CE 27 72 0 04 Sep 2020
SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation Qinghui Liu Michael C. Kampffmeyer Robert Jenssen Arnt-Børre Salberg GNN SSeg 28 10 0 03 Sep 2020
Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art Yun Peng Byron Choi Jianliang Xu 25 5 0 26 Aug 2020
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 45 1,450 0 04 Jul 2020
Policy-GNN: Aggregation Optimization for Graph Neural Networks Kwei-Herng Lai Daochen Zha Kaixiong Zhou Xia Hu 21 90 0 26 Jun 2020
Bandit Samplers for Training Graph Neural Networks Ziqi Liu Zhengwei Wu Qing Cui Jun Zhou Shuang Yang Le Song Yuan Qi 37 47 0 10 Jun 2020
Graph Random Neural Network for Semi-Supervised Learning on Graphs Wenzheng Feng Jie Zhang Yuxiao Dong Yu Han Huanbo Luan Qian Xu Qiang Yang Evgeny Kharlamov Jie Tang 26 387 0 22 May 2020
Multi-View Graph Neural Networks for Molecular Property Prediction Hehuan Ma Yatao Bian Yu Rong Wenbing Huang Tingyang Xu Wei-yang Xie Geyan Ye Junzhou Huang 21 44 0 17 May 2020
SIGN: Scalable Inception Graph Neural Networks Fabrizio Frasca Emanuele Rossi D. Eynard B. Chamberlain M. Bronstein Federico Monti GNN 30 393 0 23 Apr 2020
Distilling Knowledge from Graph Convolutional Networks Yiding Yang Jiayan Qiu Xiuming Zhang Dacheng Tao Xinchao Wang 164 226 0 23 Mar 2020
Self-Supervised Graph Representation Learning via Global Context Prediction Zhen Peng Yixiang Dong Minnan Luo Xiao-Ming Wu Q. Zheng SSL 24 64 0 03 Mar 2020
Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network Jiyang Bai Yuxiang Ren Jiawei Zhang GNN 19 29 0 17 Feb 2020
HyGCN: A GCN Accelerator with Hybrid Architecture Yurui Lai Lei Deng Xing Hu Ling Liang Yujing Feng Xiaochun Ye Zhimin Zhang Xiaochun Ye Yuan Xie GNN 30 287 0 07 Jan 2020
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks Difan Zou Ziniu Hu Yewen Wang Song Jiang Yizhou Sun Quanquan Gu GNN 25 278 0 17 Nov 2019
Improving Graph Attention Networks with Large Margin-based Constraints Guangtao Wang Rex Ying Jing-ling Huang J. Leskovec 22 80 0 25 Oct 2019
Graph Convolutional Networks for Temporal Action Localization Runhao Zeng Wenbing Huang Mingkui Tan Yu Rong P. Zhao Junzhou Huang Chuang Gan GNN 22 475 0 07 Sep 2019
GraphSAINT: Graph Sampling Based Inductive Learning Method Hanqing Zeng Hongkuan Zhou Ajitesh Srivastava Rajgopal Kannan Viktor Prasanna GNN 81 953 0 10 Jul 2019
Unsupervised Adversarial Graph Alignment with Graph Embedding Chaoqi Chen Weiping Xie Tingyang Xu Yu Rong Wenbing Huang Xinghao Ding Yue Huang Junzhou Huang 22 15 0 01 Jul 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 163 8,385 0 03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 33 5,406 0 20 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 54 1,321 0 11 Dec 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 263 1,812 0 25 Nov 2016