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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
The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning Jessica Hullman Sayash Kapoor Priyanka Nanayakkara Andrew Gelman Arvind Narayanan 147 39 0 12 Mar 2022
Shift-Robust Node Classification via Graph Adversarial Clustering Qi Zhu Chao Zhang Chanyoung Park Carl Yang Jiawei Han OOD 59 6 0 07 Mar 2022
An Open Challenge for Inductive Link Prediction on Knowledge Graphs Mikhail Galkin M. Berrendorf Charles Tapley Hoyt AI4CE 83 25 0 03 Mar 2022
PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm Wentao Zhang Yu Shen Zheyu Lin Yang Li Xiaosen Li Wenbin Ouyang Yangyu Tao Zhi-Xin Yang Tengjiao Wang GNN 110 61 0 01 Mar 2022
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks Hongya Wang Haoteng Yin Muhan Zhang Pan Li 118 115 0 01 Mar 2022
When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee Dixian Zhu Gang Li Bokun Wang Xiaodong Wu Tianbao Yang 138 32 0 01 Mar 2022
GROW: A Row-Stationary Sparse-Dense GEMM Accelerator for Memory-Efficient Graph Convolutional Neural Networks Ranggi Hwang M. Kang Jiwon Lee D. Kam Youngjoo Lee Minsoo Rhu GNN 64 25 0 01 Mar 2022
GraphWorld: Fake Graphs Bring Real Insights for GNNs John Palowitch Anton Tsitsulin Brandon Mayer Bryan Perozzi GNN 274 70 0 28 Feb 2022
An Empirical Study of Graphormer on Large-Scale Molecular Modeling Datasets Yu Shi Shuxin Zheng Guolin Ke Yifei Shen Jiacheng You Jiyan He Shengjie Luo Chang-Shu Liu Di He Tie-Yan Liu AI4CE 61 0 0 28 Feb 2022
Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning Haoteng Yin Muhan Zhang Yanbang Wang Jianguo Wang Pan Li 65 37 0 28 Feb 2022
Graph Attention Retrospective Kimon Fountoulakis Amit Levi Shenghao Yang Aseem Baranwal Aukosh Jagannath GNN 119 36 0 26 Feb 2022
Sign and Basis Invariant Networks for Spectral Graph Representation Learning Derek Lim Joshua Robinson Lingxiao Zhao Tess E. Smidt S. Sra Haggai Maron Stefanie Jegelka 152 150 0 25 Feb 2022
Equilibrium Aggregation: Encoding Sets via Optimization Sergey Bartunov F. Fuchs Timothy Lillicrap 78 7 0 25 Feb 2022
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications Kexin Ding Mu Zhou Zichen Wang Qiao Liu C. Arnold Shaoting Zhang Dimitris N. Metaxas GNN MedIm AI4CE 103 12 0 17 Feb 2022
An alternative approach to train neural networks using monotone variational inequality Chen Xu Xiuyuan Cheng Yao Xie 18 1 0 17 Feb 2022
Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning Kaize Ding Yancheng Wang Yingzhen Yang Huan Liu 88 22 0 17 Feb 2022
Understanding and Improving Graph Injection Attack by Promoting Unnoticeability Yongqiang Chen Han Yang Yonggang Zhang Kaili Ma Tongliang Liu Bo Han James Cheng AAML 122 86 0 16 Feb 2022
Out-Of-Distribution Generalization on Graphs: A Survey Haoyang Li Xin Eric Wang Ziwei Zhang Wenwu Zhu OOD CML 125 102 0 16 Feb 2022
G-Mixup: Graph Data Augmentation for Graph Classification Xiaotian Han Zhimeng Jiang Ninghao Liu Helen Zhou 87 203 0 15 Feb 2022
Robust Graph Representation Learning for Local Corruption Recovery Bingxin Zhou Yuanhong Jiang Yu Guang Wang Jingwei Liang Junbin Gao Shirui Pan Xiaoqun Zhang OOD 106 12 0 10 Feb 2022
InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail Entities Baoxin Wang Qingye Meng Ziyue Wang Honghong Zhao Dayong Wu Wanxiang Che Shijin Wang Zhigang Chen Cong Liu 93 11 0 10 Feb 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 65 44 0 10 Feb 2022
CausPref: Causal Preference Learning for Out-of-Distribution Recommendation Yue He Zimu Wang Peng Cui Hao Zou Yafeng Zhang Qiang Cui Yong Jiang OOD CML OODD 84 55 0 08 Feb 2022
GraphDCA -- a Framework for Node Distribution Comparison in Real and Synthetic Graphs Ciwan Ceylan Petra Poklukar Hanna Hultin Alexander Kravchenko Anastasia Varava Danica Kragic 50 1 0 08 Feb 2022
Neighbor2Seq: Deep Learning on Massive Graphs by Transforming Neighbors to Sequences Meng Liu Shuiwang Ji GNN 69 3 0 07 Feb 2022
Structure-Aware Transformer for Graph Representation Learning Dexiong Chen Leslie O’Bray Karsten Borgwardt 121 257 0 07 Feb 2022
Graph Self-supervised Learning with Accurate Discrepancy Learning Dongki Kim Jinheon Baek Sung Ju Hwang SSL 69 38 0 07 Feb 2022
Differentially Private Graph Classification with GNNs Tamara T. Mueller Johannes C. Paetzold Chinmay Prabhakar Dmitrii Usynin Daniel Rueckert Georgios Kaissis 88 22 0 05 Feb 2022
Machine Learning in Heterogeneous Porous Materials Martha DÉli H. Deng Cedric G. Fraces K. Garikipati L. Graham‐Brady ... H. Tchelepi B. Važić Hari S. Viswanathan H. Yoon P. Zarzycki AI4CE 80 9 0 04 Feb 2022
MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks R. Waleffe J. Mohoney Theodoros Rekatsinas Shivaram Venkataraman GNN 77 27 0 04 Feb 2022
Discovering Distribution Shifts using Latent Space Representations Leo Betthauser Urszula Chajewska M. Diesendruck Rohith Pesala OOD 66 5 0 04 Feb 2022
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited Mingguo He Zhewei Wei Ji-Rong Wen GNN 94 112 0 04 Feb 2022
Investigating Transfer Learning in Graph Neural Networks Nishai Kooverjee Steven D. James Terence L van Zyl GNN 70 14 0 01 Feb 2022
When Do Flat Minima Optimizers Work? Jean Kaddour Linqing Liu Ricardo M. A. Silva Matt J. Kusner ODL 142 64 0 01 Feb 2022
Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks Zhaoning Yu Hongyang Gao 73 45 0 01 Feb 2022
Dimensionality Reduction Meets Message Passing for Graph Node Embeddings Krzysztof Sadowski Michal Szarmach Eddie Mattia 65 6 0 01 Feb 2022
SUGAR: Efficient Subgraph-level Training via Resource-aware Graph Partitioning Zihui Xue Yuedong Yang Mengtian Yang R. Marculescu 110 9 0 31 Jan 2022
MGNN: Graph Neural Networks Inspired by Distance Geometry Problem Guanyu Cui Zhewei Wei 70 8 0 31 Jan 2022
Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism Siqi Miao Miaoyuan Liu Pan Li 97 215 0 31 Jan 2022
Discovering Invariant Rationales for Graph Neural Networks Yingmin Wu Xiang Wang An Zhang Xiangnan He Tat-Seng Chua OOD AI4CE 172 235 0 30 Jan 2022
Graph Representation Learning via Aggregation Enhancement Maxim Fishman Chaim Baskin Evgenii Zheltonozhskii Almog David Ron Banner A. Mendelson 100 0 0 30 Jan 2022
GRPE: Relative Positional Encoding for Graph Transformer Wonpyo Park Woonggi Chang Donggeon Lee Juntae Kim Seung-won Hwang 151 77 0 30 Jan 2022
GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks Chenhui Deng Xiuyu Li Zhuobo Feng Zhiru Zhang AAML 124 24 0 30 Jan 2022
SMGRL: Scalable Multi-resolution Graph Representation Learning Reza Namazi Elahe Ghalebi Sinead Williamson H. Mahyar 70 1 0 29 Jan 2022
FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks Yuhang Yao Weizhao Jin Yu Yang Carlee Joe-Wong GNN FedML 131 26 0 28 Jan 2022
Compositionality-Aware Graph2Seq Learning Takeshi D. Itoh Takatomi Kubo K. Ikeda 62 0 0 28 Jan 2022
Neural Approximation of Graph Topological Features Zuoyu Yan Tengfei Ma Liangcai Gao Zhi Tang Yusu Wang Chao Chen 80 13 0 28 Jan 2022
LAGOON: An Analysis Tool for Open Source Communities Sourya Dey Walt Woods 35 2 0 26 Jan 2022
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise Annotations Yuanfeng Ji Lu Zhang Jiaxiang Wu Bing Wu Long-Kai Huang ... Ping Luo Shuigeng Zhou Junzhou Huang Peilin Zhao Yatao Bian OOD 130 75 0 24 Jan 2022
Partition-Based Active Learning for Graph Neural Networks Jiaqi Ma Ziqiao Ma Joyce Chai Qiaozhu Mei 69 18 0 23 Jan 2022