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 / 1,610 papers shown

Title
Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery Stephen Bonner Ian P Barrett Cheng Ye Rowan Swiers Ola Engkvist Charles Tapley Hoyt William L. Hamilton 63 51 0 17 May 2021
Improving Graph Neural Networks with Simple Architecture Design S. Maurya Xin Liu T. Murata 26 48 0 17 May 2021
Self-supervised Learning on Graphs: Contrastive, Generative,or Predictive Lirong Wu Haitao Lin Zhangyang Gao Cheng Tan Stan.Z.Li SSL 35 243 0 16 May 2021
GIPA: General Information Propagation Algorithm for Graph Learning Qinkai Zheng Houyi Li Peng Zhang Zhixiong Yang Guowei Zhang Xintan Zeng Yongchao Liu 33 9 0 13 May 2021
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning Hongkuan Zhou Ajitesh Srivastava Hanqing Zeng Rajgopal Kannan Viktor Prasanna GNN 19 65 0 10 May 2021
Graph Feature Gating Networks Wei Jin Xiaorui Liu Yao Ma Tyler Derr Charu C. Aggarwal Jiliang Tang 40 1 0 10 May 2021
Graph Inference Representation: Learning Graph Positional Embeddings with Anchor Path Encoding Yuheng Lu Jinpeng Chen Chuxiong Sun Jie Hu GNN 30 2 0 09 May 2021
Multipath Graph Convolutional Neural Networks Rangan Das Bikram Boote Saumik Bhattacharya U. Maulik GNN 26 2 0 04 May 2021
Bermuda Triangles: GNNs Fail to Detect Simple Topological Structures A. Tolmachev Akira Sakai Masaru Todoriki Koji Maruhashi GNN 22 1 0 01 May 2021
Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification Jie Chen Shouzhen Chen Mingyuan Bai Jian Pu Junping Zhang Junbin Gao 39 21 0 28 Apr 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
Accelerating SpMM Kernel with Cache-First Edge Sampling for Graph Neural Networks Chien-Yu Lin Liang Luo Luis Ceze GNN 79 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 49 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 27 9 0 20 Apr 2021
SAS: A Simple, Accurate and Scalable Node Classification Algorithm Ziyuan Wang Fengzhao Yang Rui Fan GNN 36 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 33 119 0 14 Apr 2021
Search to aggregate neighborhood for graph neural network Huan Zhao Quanming Yao Wei-Wei Tu GNN 35 90 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 39 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 32 30 0 11 Apr 2021
Scaling up graph homomorphism for classification via sampling P. Beaujean F. Sikora Florian Yger 16 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 11 10 0 07 Apr 2021
Do We Need Anisotropic Graph Neural Networks? Shyam A. Tailor Felix L. Opolka Pietro Lio Nicholas D. Lane 51 34 0 03 Apr 2021
New Benchmarks for Learning on Non-Homophilous Graphs Derek Lim Xiuyu Li Felix Hohne Ser-Nam Lim 36 100 0 03 Apr 2021
GABO: Graph Augmentations with Bi-level Optimization Heejung Chung Avoy Datta Chris Waites 14 1 0 01 Apr 2021
Parameterized Hypercomplex Graph Neural Networks for Graph Classification Tuan Le Marco Bertolini Frank Noé Djork-Arné Clevert 16 15 0 30 Mar 2021
Graph Classification by Mixture of Diverse Experts Fenyu Hu Liping Wang Shu Wu Liang Wang Tieniu Tan 42 10 0 29 Mar 2021
RAN-GNNs: breaking the capacity limits of graph neural networks D. Valsesia Giulia Fracastoro E. Magli GNN 38 7 0 29 Mar 2021
Bag of Tricks for Node Classification with Graph Neural Networks Yangkun Wang Jiarui Jin Weinan Zhang Yong Yu Zheng-Wei Zhang David Wipf 36 55 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 24 119 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 25 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 30 119 0 21 Mar 2021
Structure Inducing Pre-Training Matthew B. A. McDermott Brendan Yap Peter Szolovits Marinka Zitnik 42 18 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 28 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 23 400 0 17 Mar 2021
R-GSN: The Relation-based Graph Similar Network for Heterogeneous Graph Xinliang Wu Mengying Jiang Guizhong Liu GNN 30 7 0 14 Mar 2021
Should Graph Neural Networks Use Features, Edges, Or Both? Lukas Faber Yifan Lu Roger Wattenhofer GNN 24 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-Wei Zhang Zengfeng Huang David Wipf 39 83 0 10 Mar 2021
Size-Invariant Graph Representations for Graph Classification Extrapolations Beatrice Bevilacqua Yangze Zhou Bruno Ribeiro OOD 40 108 0 08 Mar 2021
Lipschitz Normalization for Self-Attention Layers with Application to Graph Neural Networks George Dasoulas Kevin Scaman Aladin Virmaux GNN 27 40 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 10 67 0 04 Mar 2021
Universal Representation for Code Linfeng Liu H. Nguyen George Karypis Srinivasan H. Sengamedu SSL 19 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 59 1,179 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 34 29 0 02 Mar 2021
A Biased Graph Neural Network Sampler with Near-Optimal Regret Qingru Zhang David Wipf Quan Gan Le Song 40 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 19 16 0 01 Mar 2021
Automated Machine Learning on Graphs: A Survey Ziwei Zhang Xin Eric Wang Wenwu Zhu 24 85 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 41 30 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 49 290 0 27 Feb 2021
Graph Self-Supervised Learning: A Survey Yixin Liu Ming Jin Shirui Pan Chuan Zhou Yu Zheng Feng Xia Philip S. Yu SSL 38 544 0 27 Feb 2021
Accurate Learning of Graph Representations with Graph Multiset Pooling Jinheon Baek Minki Kang Sung Ju Hwang 36 173 0 23 Feb 2021