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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"

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Title
Visualizing Graph Neural Networks with CorGIE: Corresponding a Graph to Its Embedding Zipeng Liu Yangkun Wang J. Bernard T. Munzner 85 25 0 24 Jun 2021
Weisfeiler and Lehman Go Cellular: CW Networks Cristian Bodnar Fabrizio Frasca N. Otter Yu Guang Wang Pietro Lio Guido Montúfar M. Bronstein GNN 139 238 0 23 Jun 2021
NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs Mikhail Galkin E. Denis Jiapeng Wu William L. Hamilton OCL 83 90 0 23 Jun 2021
GRAND: Graph Neural Diffusion B. Chamberlain J. Rowbottom Maria I. Gorinova Stefan Webb Emanuele Rossi M. Bronstein GNN 132 270 0 21 Jun 2021
Graph Context Encoder: Graph Feature Inpainting for Graph Generation and Self-supervised Pretraining Oriel Frigo Rémy Brossard David Dehaene 53 1 0 18 Jun 2021
Message Passing in Graph Convolution Networks via Adaptive Filter Banks Xing Gao Wenrui Dai Chenglin Li Junni Zou H. Xiong P. Frossard GNN 73 6 0 18 Jun 2021
Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods Chirag Agarwal Marinka Zitnik Himabindu Lakkaraju 77 53 0 16 Jun 2021
Fast Quantum Property Prediction via Deeper 2D and 3D Graph Networks Meng Liu Cong Fu Xuan Zhang Limei Wang Yaochen Xie Hao Yuan Youzhi Luo Zhao Xu Shenglong Xu Shuiwang Ji GNN 50 17 0 16 Jun 2021
Optimizing Graph Transformer Networks with Graph-based Techniques Loc Hoang U. Agarwal G. Gill Roshan Dathathri Abhik Seal Brian Martin K. Pingali GNN 53 0 0 16 Jun 2021
First Place Solution of KDD Cup 2021 & OGB Large-Scale Challenge Graph Prediction Track Chengxuan Ying Mingqi Yang Shuxin Zheng Guolin Ke Shengjie Luo Tianle Cai Chenglin Wu Yuxin Wang Yanming Shen Di He 49 11 0 15 Jun 2021
Evaluating Modules in Graph Contrastive Learning Ganqu Cui Y. Du Cheng Yang Jie Zhou Liang Xu Xing Zhou Lifeng Wang Zhiyuan Liu 59 4 0 15 Jun 2021
Simple GNN Regularisation for 3D Molecular Property Prediction & Beyond Jonathan Godwin Michael Schaarschmidt Alex Gaunt Alvaro Sanchez-Gonzalez Yulia Rubanova Petar Velivcković J. Kirkpatrick Peter W. Battaglia 107 60 0 15 Jun 2021
Training Graph Neural Networks with 1000 Layers Guohao Li Matthias Muller Guohao Li V. Koltun GNN AI4CE 103 243 0 14 Jun 2021
Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions Xuefeng Du Tian Bian Yu Rong Bo Han Tongliang Liu Tingyang Xu Wenbing Huang Yixuan Li Junzhou Huang NoLa 97 16 0 14 Jun 2021
Node Classification Meets Link Prediction on Knowledge Graphs Ralph Abboud .Ismail .Ilkan Ceylan 41 3 0 14 Jun 2021
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction Zhaocheng Zhu Zuobai Zhang Louis-Pascal Xhonneux Jian Tang GNN 101 329 0 13 Jun 2021
Graph Neural Networks with Local Graph Parameters Pablo Barceló Floris Geerts Juan L. Reutter Maksimilian Ryschkov 85 66 0 12 Jun 2021
TDGIA:Effective Injection Attacks on Graph Neural Networks Xu Zou Qinkai Zheng Yuxiao Dong Xinyu Guan Evgeny Kharlamov Jialiang Lu Jie Tang AAML 93 107 0 12 Jun 2021
Global Neighbor Sampling for Mixed CPU-GPU Training on Giant Graphs Jialin Dong Da Zheng Lin F. Yang Geroge Karypis GNN 52 37 0 11 Jun 2021
Graph Contrastive Learning Automated Yuning You Tianlong Chen Yang Shen Zhangyang Wang 81 481 0 10 Jun 2021
Adversarial Graph Augmentation to Improve Graph Contrastive Learning Susheel Suresh Pan Li Cong Hao Jennifer Neville AAML 118 343 0 10 Jun 2021
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings Matthias Fey J. E. Lenssen F. Weichert J. Leskovec GNN 56 134 0 10 Jun 2021
Automated Self-Supervised Learning for Graphs Wei Jin Xiaorui Liu Xiangyu Zhao Yao Ma Neil Shah Jiliang Tang SSL 141 76 0 10 Jun 2021
AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange Liang Zeng Jin Xu Zijun Yao Yanqiao Zhu Jian Li 92 1 0 10 Jun 2021
Do Transformers Really Perform Bad for Graph Representation? Chengxuan Ying Tianle Cai Shengjie Luo Shuxin Zheng Guolin Ke Di He Yanming Shen Tie-Yan Liu GNN 109 443 0 09 Jun 2021
Rethinking Graph Transformers with Spectral Attention Devin Kreuzer Dominique Beaini William L. Hamilton Vincent Létourneau Prudencio Tossou 146 549 0 07 Jun 2021
Formalizing Distribution Inference Risks Anshuman Suri David Evans MIACV AAML 31 4 0 07 Jun 2021
On Local Aggregation in Heterophilic Graphs Hesham Mostafa Marcel Nassar Somdeb Majumdar 63 4 0 06 Jun 2021
Graph Belief Propagation Networks Junteng Jia Cenk Baykal Vamsi K. Potluru Austin R. Benson GNN 36 3 0 06 Jun 2021
Graph Barlow Twins: A self-supervised representation learning framework for graphs Piotr Bielak Tomasz Kajdanowicz Nitesh Chawla SSL 68 139 0 04 Jun 2021
Learning from Counterfactual Links for Link Prediction Tong Zhao Gang Liu Daheng Wang Wenhao Yu Meng Jiang CML OOD 89 100 0 03 Jun 2021
Partial Graph Reasoning for Neural Network Regularization Tiange Xiang Chaoyi Zhang Yang Song Siqi Liu Hongliang Yuan Weidong (Tom) Cai OOD 31 2 0 03 Jun 2021
How Attentive are Graph Attention Networks? Shaked Brody Uri Alon Eran Yahav GNN 145 1,095 0 30 May 2021
Relational Graph Neural Network Design via Progressive Neural Architecture Search Ailing Zeng Minhao Liu Zhiwei Liu Ruiyuan Gao Jing Qin Qiang Xu 90 0 0 30 May 2021
On the Universality of Graph Neural Networks on Large Random Graphs Nicolas Keriven A. Bietti Samuel Vaiter 101 23 0 27 May 2021
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks Ruchi Puri David S. Kung G. Janssen Wei Zhang Giacomo Domeniconi ... Saurabh Pujar Shyam Ramji Ulrich Finkler Susan Malaika Frederick Reiss 105 247 0 25 May 2021
Heterogeneous Graph Representation Learning with Relation Awareness Le Yu Leilei Sun Bowen Du Chuanren Liu Weifeng Lv Hui Xiong 72 55 0 24 May 2021
A Robust and Generalized Framework for Adversarial Graph Embedding Jianxin Li Xingcheng Fu Hao Peng Senzhang Wang Shijie Zhu Qingyun Sun Philip S. Yu Lifang He 44 16 0 22 May 2021
Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework Junxiang Wang Hongyi Li Zheng Chai Yongchao Wang Yue Cheng Liang Zhao MQ 46 3 0 20 May 2021
Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks Huixuan Chi Yuying Wang Qinfen Hao Hong Xia GNN 76 12 0 18 May 2021
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 131 52 0 17 May 2021
Improving Graph Neural Networks with Simple Architecture Design S. Maurya Xin Liu T. Murata 64 53 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 93 261 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 65 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 61 68 0 10 May 2021
Graph Feature Gating Networks Wei Jin Xiaorui Liu Yao Ma Hanyu Wang Charu C. Aggarwal Jiliang Tang 59 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 63 2 0 04 May 2021
Bermuda Triangles: GNNs Fail to Detect Simple Topological Structures A. Tolmachev Akira Sakai Masaru Todoriki Koji Maruhashi GNN 27 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 91 21 0 28 Apr 2021