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Open Graph Benchmark: Datasets for Machine Learning on Graphs

2 May 2020

Yuxiao Dong

Papers citing "Open Graph Benchmark: Datasets for Machine Learning on Graphs"

50 / 1,644 papers shown

Title
Network Embedding via Deep Prediction Model Xin Sun Zenghui Song Yongbo Yu Junyu Dong Claudia Plant Christian Boehm GNN 58 2 0 27 Apr 2021
Accelerating SpMM Kernel with Cache-First Edge Sampling for Graph Neural Networks Chien-Yu Lin Liang Luo Luis Ceze GNN 109 8 0 21 Apr 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 97 11 0 21 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 Tengjiao Wang 72 9 0 20 Apr 2021
SAS: A Simple, Accurate and Scalable Node Classification Algorithm Ziyuan Wang Fengzhao Yang Rui Fan GNN 45 0 0 19 Apr 2021
DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks Vasimuddin Sanchit Misra Guixiang Ma Ramanarayan Mohanty E. Georganas A. Heinecke Dhiraj D. Kalamkar Nesreen Ahmed Sasikanth Avancha GNN 74 125 0 14 Apr 2021
Search to aggregate neighborhood for graph neural network Huan Zhao Quanming Yao Wei-Wei Tu GNN 88 92 0 14 Apr 2021
Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning Ning Liu Songlei Jian Dongsheng Li Yiming Zhang Zhiquan Lai Hongzuo Xu 89 31 0 13 Apr 2021
AutoGL: A Library for Automated Graph Learning Ziwei Zhang Yijian Qin Zeyang Zhang Chaoyu Guan Jie Cai ... Beini Xie Yang Yao Yipeng Zhang Xin Eric Wang Wenwu Zhu 111 30 0 11 Apr 2021
Scaling up graph homomorphism for classification via sampling P. Beaujean F. Sikora Florian Yger 32 3 0 08 Apr 2021
Optimizing Memory Efficiency of Graph Neural Networks on Edge Computing Platforms Ao Zhou Jianlei Yang Yeqi Gao Tong Qiao Yingjie Qi Xiaoyi Wang Yunli Chen Pengcheng Dai Weisheng Zhao Chunming Hu GNN 49 10 0 07 Apr 2021
Do We Need Anisotropic Graph Neural Networks? Shyam A. Tailor Felix L. Opolka Pietro Lio Nicholas D. Lane 97 35 0 03 Apr 2021
New Benchmarks for Learning on Non-Homophilous Graphs Derek Lim Xiuyu Li Felix Hohne Ser-Nam Lim 103 101 0 03 Apr 2021
GABO: Graph Augmentations with Bi-level Optimization Heejung Chung Avoy Datta Chris Waites 28 1 0 01 Apr 2021
Parameterized Hypercomplex Graph Neural Networks for Graph Classification Tuan Le Marco Bertolini Frank Noé Djork-Arné Clevert 54 15 0 30 Mar 2021
Graph Classification by Mixture of Diverse Experts Fenyu Hu Liping Wang Shu Wu Liang Wang Tieniu Tan 124 10 0 29 Mar 2021
RAN-GNNs: breaking the capacity limits of graph neural networks D. Valsesia Giulia Fracastoro E. Magli GNN 77 7 0 29 Mar 2021
Bag of Tricks for Node Classification with Graph Neural Networks Yangkun Wang Jiarui Jin Weinan Zhang Yong Yu Zheng Zhang David Wipf 106 56 0 24 Mar 2021
DIG: A Turnkey Library for Diving into Graph Deep Learning Research Meng Liu Youzhi Luo Limei Wang Yaochen Xie Haonan Yuan ... Haoran Liu Cong Fu Bora Oztekin Xuan Zhang Shuiwang Ji GNN 89 121 0 23 Mar 2021
Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification Antonio Carta Andrea Cossu Federico Errica D. Bacciu GNN 81 14 0 22 Mar 2021
Language-Agnostic Representation Learning of Source Code from Structure and Context Daniel Zügner Tobias Kirschstein Michele Catasta J. Leskovec Stephan Günnemann 78 121 0 21 Mar 2021
Structure Inducing Pre-Training Matthew B. A. McDermott Brendan Yap Peter Szolovits Marinka Zitnik 93 21 0 18 Mar 2021
Diversified Multiscale Graph Learning with Graph Self-Correction Yuzhao Chen Yatao Bian Jiying Zhang Xi Xiao Tingyang Xu Yu Rong Junzhou Huang 58 5 0 17 Mar 2021
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs Weihua Hu Matthias Fey Hongyu Ren Maho Nakata Yuxiao Dong J. Leskovec AI4CE 114 415 0 17 Mar 2021
R-GSN: The Relation-based Graph Similar Network for Heterogeneous Graph Xinliang Wu Mengying Jiang Guizhong Liu GNN 48 7 0 14 Mar 2021
Should Graph Neural Networks Use Features, Edges, Or Both? Lukas Faber Yifan Lu Roger Wattenhofer GNN 57 10 0 11 Mar 2021
Graph Neural Networks Inspired by Classical Iterative Algorithms Yongyi Yang T. Liu Yangkun Wang Jinjing Zhou Quan Gan Zhewei Wei Zheng Zhang Zengfeng Huang David Wipf 99 83 0 10 Mar 2021
Size-Invariant Graph Representations for Graph Classification Extrapolations Beatrice Bevilacqua Yangze Zhou Bruno Ribeiro OOD 138 110 0 08 Mar 2021
Lipschitz Normalization for Self-Attention Layers with Application to Graph Neural Networks George Dasoulas Kevin Scaman Aladin Virmaux GNN 85 39 0 08 Mar 2021
Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture S. Min Kun Wu Sitao Huang Mert Hidayetouglu Jinjun Xiong Eiman Ebrahimi Deming Chen Wen-mei W. Hwu GNN 100 69 0 04 Mar 2021
Universal Representation for Code Linfeng Liu H. Nguyen George Karypis Srinivasan H. Sengamedu SSL 41 3 0 04 Mar 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang Cuiling Lan Chang-Shu Liu Yidong Ouyang Tao Qin Wang Lu Yiqiang Chen Wenjun Zeng Philip S. Yu OOD 280 1,240 0 02 Mar 2021
Multi-Level Attention Pooling for Graph Neural Networks: Unifying Graph Representations with Multiple Localities Takeshi D. Itoh Takatomi Kubo K. Ikeda 75 30 0 02 Mar 2021
A Biased Graph Neural Network Sampler with Near-Optimal Regret Qingru Zhang David Wipf Quan Gan Le Song 129 24 0 01 Mar 2021
CogDL: A Comprehensive Library for Graph Deep Learning Yukuo Cen Zhenyu Hou Yan Wang Qibin Chen Yi Luo ... Guohao Dai Yu Wang Chang Zhou Hongxia Yang Jie Tang GNN AI4CE 134 17 0 01 Mar 2021
Automated Machine Learning on Graphs: A Survey Ziwei Zhang Xin Eric Wang Wenwu Zhu 109 87 0 01 Mar 2021
Early-Bird GCNs: Graph-Network Co-Optimization Towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets Haoran You Zhihan Lu Zijian Zhou Y. Fu Yingyan Lin GNN 109 33 0 01 Mar 2021
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning Yixin Liu Zhao Li Shirui Pan Chen Gong Chuan Zhou George Karypis 125 307 0 27 Feb 2021
Graph Self-Supervised Learning: A Survey Yixin Liu Ming Jin Shirui Pan Chuan Zhou Yu Zheng Xiwei Xu Philip S. Yu SSL 123 574 0 27 Feb 2021
Accurate Learning of Graph Representations with Graph Multiset Pooling Jinheon Baek Minki Kang Sung Ju Hwang 111 177 0 23 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 120 9 0 20 Feb 2021
SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolutional Networks Haimin Zhang Min Xu Guoqiang Zhang Kenta Niwa 50 9 0 20 Feb 2021
A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective Stephen Bonner Ian P Barrett Cheng Ye Rowan Swiers Ola Engkvist A. Bender Charles Tapley Hoyt William L. Hamilton 93 97 0 19 Feb 2021
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development Kexin Huang Tianfan Fu Wenhao Gao Yue Zhao Yusuf Roohani J. Leskovec Connor W. Coley Cao Xiao Jimeng Sun Marinka Zitnik OOD LM&MA 94 284 0 18 Feb 2021
Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing Jan Toenshoff Martin Ritzert Hinrikus Wolf Martin Grohe GNN 168 33 0 17 Feb 2021
Fast Graph Learning with Unique Optimal Solutions Sami Abu-El-Haija V. Crespi Greg Ver Steeg Aram Galstyan 78 0 0 17 Feb 2021
How Framelets Enhance Graph Neural Networks Xuebin Zheng Bingxin Zhou Junbin Gao Yu Guang Wang Pietro Lio Ming Li Guido Montúfar 116 69 0 13 Feb 2021
Large-Scale Representation Learning on Graphs via Bootstrapping S. Thakoor Corentin Tallec M. G. Azar Mehdi Azabou Eva L. Dyer Rémi Munos Petar Velivcković Michal Valko SSL 76 228 0 12 Feb 2021
Memory-Associated Differential Learning Yi Luo Aiguo Chen Bei Hui Ke Yan 89 3 0 10 Feb 2021
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks Bahare Fatemi Layla El Asri Seyed Mehran Kazemi GNN SSL 135 166 0 09 Feb 2021