Adaptive Sampling Towards Fast Graph Representation Learning

14 September 2018

Tong Zhang

Papers citing "Adaptive Sampling Towards Fast Graph Representation Learning"

50 / 76 papers shown

Title
PromptGCN: Bridging Subgraph Gaps in Lightweight GCNs Shengwei Ji Yujie Tian Fei Liu Xinlu Li Le Wu GNN 37 0 0 14 Oct 2024
Graph Convolutional Network For Semi-supervised Node Classification With Subgraph Sketching Zibin Huang Jun Xian GNN 42 0 0 19 Apr 2024
Graph Regularized Encoder Training for Extreme Classification Anshul Mittal Shikhar Mohan Deepak Saini Suchith C. Prabhu Jain jiao ... Manik Varma Sumeet Agarwal Soumen Chakrabarti Purushottam Kar Manik Varma GNN 38 0 0 28 Feb 2024
SGA: A Graph Augmentation Method for Signed Graph Neural Networks Zeyu Zhang Shuyan Wan Sijie Wang Xianda Zheng Xinrui Zhang Kaiqi Zhao Jiamou Liu Dong Hao 16 1 0 15 Oct 2023
Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias Zhihao Shi Jie Wang Fanghua Lu Hanzhu Chen Defu Lian Zheng Wang Jieping Ye Feng Wu AI4CE 32 6 0 26 Sep 2023
PVG: Progressive Vision Graph for Vision Recognition Jiafu Wu Jian Li Jiangning Zhang Boshen Zhang M. Chi Yabiao Wang Chengjie Wang ViT 25 12 0 01 Aug 2023
Segment Anything in Non-Euclidean Domains: Challenges and Opportunities Yongcheng Jing Xinchao Wang Dacheng Tao 48 21 0 23 Apr 2023
A Comprehensive Survey on Graph Summarization with Graph Neural Networks Nasrin Shabani Jia Wu Amin Beheshti Quan.Z Sheng Jin Foo Venus Haghighi Ambreen Hanif Maryam Shahabikargar GNN AI4TS 40 12 0 13 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 35 16 0 02 Feb 2023
Frugal Reinforcement-based Active Learning Sebastien Deschamps H. Sahbi 16 0 0 09 Dec 2022
From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning Paradigm Jie Chen Zilong Li Ying Zhu Junping Zhang Jian Pu 36 8 0 21 Nov 2022
Distributed Graph Neural Network Training: A Survey Yingxia Shao Hongzheng Li Xizhi Gu Hongbo Yin Yawen Li Xupeng Miao Wentao Zhang Bin Cui Lei Chen GNN AI4CE 11 56 0 01 Nov 2022
Towards Relation-centered Pooling and Convolution for Heterogeneous Graph Learning Networks Tiehua Zhang Yuze Liu Yaohan Yao Youhua Xia Xin Chen Xiaowei Huang Jiongdao Jin 26 2 0 31 Oct 2022
RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations Zirui Liu Sheng-Wei Chen Kaixiong Zhou Daochen Zha Xiao Huang Xia Hu 32 15 0 19 Oct 2022
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking Keyu Duan Zirui Liu Peihao Wang Wenqing Zheng Kaixiong Zhou Tianlong Chen Xia Hu Zhangyang Wang GNN 41 57 0 14 Oct 2022
GPNet: Simplifying Graph Neural Networks via Multi-channel Geometric Polynomials Xun Liu Alex Hay-Man Ng Fangyu Lei Yikuan Zhang Zhengmin Li GNN 22 2 0 30 Sep 2022
Analyzing the Effect of Sampling in GNNs on Individual Fairness Rebecca Salganik Fernando Diaz G. Farnadi 24 1 0 08 Sep 2022
Hardware Acceleration of Sampling Algorithms in Sample and Aggregate Graph Neural Networks Yuchen Gui Boyi Wei W. Yuan Xi Jin GNN 19 1 0 07 Sep 2022
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model Haoteng Tang Guixiang Ma Lei Guo Xiyao Fu Heng-Chiao Huang Li Zhang 28 24 0 14 Jul 2022
Graph Attention Multi-Layer Perceptron Wentao Zhang Ziqi Yin Zeang Sheng Yang Li Wenbin Ouyang Xiaosen Li Yangyu Tao Zhi-Xin Yang Bin Cui GNN AI4CE 30 99 0 09 Jun 2022
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs Zhaocheng Zhu Xinyu Yuan Mikhail Galkin Sophie Xhonneux Ming Zhang Maxime Gazeau Jian Tang GNN LRM 31 36 0 07 Jun 2022
A Survey on Dropout Methods and Experimental Verification in Recommendation Yong Li Weizhi Ma C. L. Philip Chen Hao Fei Yiqun Liu Shaoping Ma Yue Yang 33 9 0 05 Apr 2022
Neighbor Enhanced Graph Convolutional Networks for Node Classification and Recommendation Hao Chen Zhong Huang Yue Xu Zengde Deng Feiran Huang Peng He Zhoujun Li GNN 19 50 0 30 Mar 2022
BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling Cheng Wan Youjie Li Ang Li Namjae Kim Yingyan Lin GNN 34 75 0 21 Mar 2022
LEReg: Empower Graph Neural Networks with Local Energy Regularization Xiaojun Ma Hanyue Chen Guojie Song 21 3 0 20 Mar 2022
Graph Summarization with Graph Neural Networks Maximilian Blasi M. Freudenreich Johannes Horvath David Richerby A. Scherp 33 0 0 11 Mar 2022
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective Xin Liu Yurui Lai Lei Deng Guoqi Li Xiaochun Ye Xiaochun Ye Shirui Pan Yuan Xie GNN 16 41 0 10 Feb 2022
Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer Erxue Min Yu Rong Tingyang Xu Yatao Bian P. Zhao Junzhou Huang Da Luo Kangyi Lin Sophia Ananiadou 34 33 0 25 Jan 2022
Decoupling the Depth and Scope of Graph Neural Networks Hanqing Zeng Muhan Zhang Yinglong Xia Ajitesh Srivastava Andrey Malevich Rajgopal Kannan Viktor Prasanna Long Jin Ren Chen GNN 33 142 0 19 Jan 2022
Improving Subgraph Recognition with Variational Graph Information Bottleneck Junchi Yu Jie Cao Ran He 22 53 0 18 Dec 2021
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing Tianfeng Liu Yangrui Chen Dan Li Chuan Wu Yibo Zhu Jun He Size Zheng Hongzheng Chen Hongzhi Chen Chuanxiong Guo GNN 34 77 0 16 Dec 2021
Efficient Dynamic Graph Representation Learning at Scale Xinshi Chen Yan Zhu Haowen Xu Mengya Liu Liang Xiong Muhan Zhang Le Song 22 7 0 14 Dec 2021
Learning Connectivity with Graph Convolutional Networks for Skeleton-based Action Recognition H. Sahbi GNN 23 27 0 06 Dec 2021
Spectral Transform Forms Scalable Transformer Bingxin Zhou Xinliang Liu Yuehua Liu Yunyin Huang Pietro Lió Yuguang Wang 52 6 0 15 Nov 2021
FedGraph: Federated Graph Learning with Intelligent Sampling Fahao Chen Peng Li T. Miyazaki Celimuge Wu FedML 19 78 0 02 Nov 2021
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization Mucong Ding Kezhi Kong Jingling Li Chen Zhu John P. Dickerson Furong Huang Tom Goldstein GNN MQ 33 47 0 27 Oct 2021
IGLU: Efficient GCN Training via Lazy Updates S. Narayanan Aditya Sinha Prateek Jain Purushottam Kar Sundararajan Sellamanickam BDL 52 10 0 28 Sep 2021
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks Yongcheng Jing Yiding Yang Xinchao Wang Xiuming Zhang Dacheng Tao 19 38 0 27 Sep 2021
Feature Correlation Aggregation: on the Path to Better Graph Neural Networks Jieming Zhou Tong Zhang Pengfei Fang L. Petersson Mehrtash Harandi GNN 25 1 0 20 Sep 2021
GNNSampler: Bridging the Gap between Sampling Algorithms of GNN and Hardware Xin Liu Yurui Lai Shuhan Song Zhengyang Lv Wenming Li Guangyu Sun Xiaochun Ye Xiaochun Ye 24 13 0 26 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 44 18 0 21 Jul 2021
Graph Convolution for Re-ranking in Person Re-identification Yuqi Zhang Qiang Qi Chong Liu Weihua Chen Fan Wang Hao Li R. L. Jin 22 12 0 05 Jul 2021
Scalable Graph Neural Network Training: The Case for Sampling Marco Serafini Hui Guan GNN 41 23 0 05 May 2021
GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy Yongchao Liu Houyi Li Guowei Zhang Xintan Zeng Yongyong Li ... Peng Zhang Zhao Li Kefeng Deng Changhua He Wenguang Chen GNN 44 11 0 21 Apr 2021
Skeleton-based Hand-Gesture Recognition with Lightweight Graph Convolutional Networks H. Sahbi 3DH GNN 18 3 0 09 Apr 2021
Do We Need Anisotropic Graph Neural Networks? Shyam A. Tailor Felix L. Opolka Pietro Lio Nicholas D. Lane 46 34 0 03 Apr 2021
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 51 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 25 116 0 16 Dec 2020