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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
From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning Paradigm Jie Chen Zilong Li Ying Zhu Junping Zhang Jian Pu 89 8 0 21 Nov 2022
Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective Yige Yuan Bingbing Xu Huawei Shen Qi Cao Keting Cen Wen Zheng Xueqi Cheng 77 13 0 20 Nov 2022
Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinforcement Learning Mingxuan Ju Yujie Fan Chuxu Zhang Yanfang Ye AAML 120 38 0 19 Nov 2022
GRATIS: Deep Learning Graph Representation with Task-specific Topology and Multi-dimensional Edge Features Siyang Song Yuxin Song Cheng Luo Zhiyuan Song Selim Kuzucu Xi Jia Zhijiang Guo Weicheng Xie Linlin Shen Hatice Gunes 75 25 0 19 Nov 2022
Unifying Label-inputted Graph Neural Networks with Deep Equilibrium Models Yi Luo Guiduo Duan Guangchun Luo Aiguo Chen 79 2 0 19 Nov 2022
Tired of Over-smoothing? Stress Graph Drawing Is All You Need! Xue Li Yuanzhi Cheng 94 1 0 19 Nov 2022
GPS++: An Optimised Hybrid MPNN/Transformer for Molecular Property Prediction Dominic Masters Josef Dean Kerstin Klaser Zhiyi Li Sam Maddrell-Mander Adam Sanders Hatem Helal D. Beker Ladislav Rampášek Dominique Beaini 76 24 0 18 Nov 2022
VeLO: Training Versatile Learned Optimizers by Scaling Up Luke Metz James Harrison C. Freeman Amil Merchant Lucas Beyer ... Naman Agrawal Ben Poole Igor Mordatch Adam Roberts Jascha Narain Sohl-Dickstein 138 60 0 17 Nov 2022
Hierarchical Estimation for Effective and Efficient Sampling Graph Neural Network Yongbin Li Bingbing Xu Qi Cao Yige Yuan Huawei Shen 30 0 0 16 Nov 2022
Unbalanced Optimal Transport, from Theory to Numerics Thibault Séjourné Gabriel Peyré Franccois-Xavier Vialard OT 104 49 0 16 Nov 2022
Empirical Study on Optimizer Selection for Out-of-Distribution Generalization Hiroki Naganuma Kartik Ahuja S. Takagi Tetsuya Motokawa Rio Yokota Kohta Ishikawa I. Sato Ioannis Mitliagkas OOD 93 7 0 15 Nov 2022
Adaptive Multi-Neighborhood Attention based Transformer for Graph Representation Learning Gaichao Li Jinsong Chen Kun He 46 3 0 15 Nov 2022
Comprehensive Analysis of Over-smoothing in Graph Neural Networks from Markov Chains Perspective Weichen Zhao Chenguang Wang Congying Han Tiande Guo 92 1 0 12 Nov 2022
DistGNN-MB: Distributed Large-Scale Graph Neural Network Training on x86 via Minibatch Sampling Md. Vasimuddin Ramanarayan Mohanty Sanchit Misra Sasikanth Avancha GNN 44 1 0 11 Nov 2022
A New Graph Node Classification Benchmark: Learning Structure from Histology Cell Graphs Claudia Vanea Jonathan Campbell Omri Dodi L. Salumäe K. Meir ... H. Hochner T. Laisk L. Ernst C. Lindgren C. Nellåker 52 3 0 11 Nov 2022
A Comprehensive Survey on Distributed Training of Graph Neural Networks Haiyang Lin Yurui Lai Xiaochun Ye Xiaochun Ye Shirui Pan Wenguang Chen Yuan Xie GNN 115 27 0 10 Nov 2022
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems Nabeel Seedat F. Imrie M. Schaar 104 13 0 09 Nov 2022
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection Yixin Liu Kaize Ding Huan Liu Shirui Pan 98 60 0 08 Nov 2022
Application of Graph Neural Networks and graph descriptors for graph classification J. Adamczyk FaML 93 5 0 07 Nov 2022
Characterizing the Efficiency of Graph Neural Network Frameworks with a Magnifying Glass Xin Huang Jongryool Kim Brad Rees Chul-Ho Lee GNN 45 4 0 06 Nov 2022
Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift Yongduo Sui Qitian Wu Jiancan Wu Daixin Wang Longfei Li An Zhang Xiang Wang Xiangnan He OOD 119 36 0 05 Nov 2022
Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations Giannis Nikolentzos Michail Chatzianastasis Michalis Vazirgiannis 55 8 0 04 Nov 2022
GLINKX: A Scalable Unified Framework For Homophilous and Heterophilous Graphs Marios Papachristou Rishab Goel Frank Portman M. Miller Rong Jin 98 0 0 01 Nov 2022
Efficient Graph Neural Network Inference at Large Scale Xin-pu Gao Wentao Zhang Yingxia Shao Quoc Viet Hung Nguyen Tengjiao Wang Hongzhi Yin AI4CE GNN 119 8 0 01 Nov 2022
Distributed Graph Neural Network Training: A Survey Yingxia Shao Hongzheng Li Xizhi Gu Hongbo Yin Yawen Li Xupeng Miao Wentao Zhang Tengjiao Wang Lei Chen GNN AI4CE 127 65 0 01 Nov 2022
Improving Graph Neural Networks with Learnable Propagation Operators Moshe Eliasof Lars Ruthotto Eran Treister 96 23 0 31 Oct 2022
Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders Kiarash Zahirnia Oliver Schulte Parmis Naddaf Ke Li 96 10 0 30 Oct 2022
Explaining the Explainers in Graph Neural Networks: a Comparative Study Antonio Longa Steve Azzolin G. Santin G. Cencetti Pietro Lio Bruno Lepri Andrea Passerini 111 31 0 27 Oct 2022
TuneUp: A Simple Improved Training Strategy for Graph Neural Networks Weihua Hu Kaidi Cao Kexin Huang E-Wen Huang Karthik Subbian Kenji Kawaguchi J. Leskovec 87 0 0 26 Oct 2022
Learning on Large-scale Text-attributed Graphs via Variational Inference Jianan Zhao Meng Qu Chaozhuo Li Hao Yan Qian Liu Rui Li Xing Xie Jian Tang VLM 132 142 0 26 Oct 2022
Layer-Neighbor Sampling -- Defusing Neighborhood Explosion in GNNs M. F. Balin Ümit V. Çatalyürek 85 17 0 24 Oct 2022
Binary Graph Convolutional Network with Capacity Exploration Junfu Wang Yuanfang Guo Liang Yang Yun-an Wang GNN 53 5 0 24 Oct 2022
Transformers over Directed Acyclic Graphs Yu Luo Veronika Thost Lei Shi GNN AI4CE 146 20 0 24 Oct 2022
Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks Chenxiao Yang Qitian Wu Junchi Yan 65 28 0 24 Oct 2022
Neural Eigenfunctions Are Structured Representation Learners Zhijie Deng Jiaxin Shi Hao Zhang Peng Cui Cewu Lu Jun Zhu 109 14 0 23 Oct 2022
Self-supervised Graph-based Point-of-interest Recommendation Yongqian Li Tong Chen P. Zhang Zi Huang Hongzhi Yin 57 4 0 22 Oct 2022
Efficient Automatic Machine Learning via Design Graphs Shirley Wu Jiaxuan You J. Leskovec Rex Ying GNN 63 1 0 21 Oct 2022
Graph Few-shot Learning with Task-specific Structures Song Wang Chen Chen Jundong Li 95 24 0 21 Oct 2022
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges Mario Alfonso Prado-Romero Bardh Prenkaj Giovanni Stilo F. Giannotti CML 143 34 0 21 Oct 2022
RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations Zirui Liu Sheng-Wei Chen Kaixiong Zhou Daochen Zha Xiao Huang Helen Zhou 115 17 0 19 Oct 2022
Stability of Entropic Wasserstein Barycenters and application to random geometric graphs Marc Theveneau Nicolas Keriven 61 4 0 19 Oct 2022
SA-MLP: Distilling Graph Knowledge from GNNs into Structure-Aware MLP Jie Chen Shouzhen Chen Mingyuan Bai Junbin Gao Junping Zhang Jian Pu 90 10 0 18 Oct 2022
Test-Time Training for Graph Neural Networks Yiqi Wang Chaozhuo Li Wei Jin Rui Li Jianan Zhao Jiliang Tang Xing Xie OOD 109 15 0 17 Oct 2022
Unifying Graph Contrastive Learning with Flexible Contextual Scopes Yizhen Zheng Yu Zheng Xiaofei Zhou Chen Gong V. Lee Shirui Pan 100 17 0 17 Oct 2022
Substructure-Atom Cross Attention for Molecular Representation Learning Jiye G. Kim Seungbeom Lee Dongwoo Kim SungSoo Ahn Jaesik Park 52 4 0 15 Oct 2022
Not All Neighbors Are Worth Attending to: Graph Selective Attention Networks for Semi-supervised Learning Tiantian He Haicang Zhou Yew-Soon Ong Gao Cong GNN 133 4 0 14 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 Helen Zhou Zhangyang Wang GNN 99 58 0 14 Oct 2022
Inductive Logical Query Answering in Knowledge Graphs Mikhail Galkin Zhaocheng Zhu Hongyu Ren Jian Tang 74 28 0 13 Oct 2022
Brain Network Transformer Xuan Kan Wei Dai Hejie Cui Zilong Zhang Ying Guo Carl Yang MedIm 76 109 0 13 Oct 2022
Linkless Link Prediction via Relational Distillation Zhichun Guo William Shiao Shichang Zhang Yozen Liu Nitesh Chawla Neil Shah Tong Zhao 120 43 0 11 Oct 2022