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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
DT+GNN: A Fully Explainable Graph Neural Network using Decision Trees Peter Müller Lukas Faber Karolis Martinkus Roger Wattenhofer 93 8 0 26 May 2022
Recipe for a General, Powerful, Scalable Graph Transformer Ladislav Rampášek Mikhail Galkin Vijay Prakash Dwivedi Anh Tuan Luu Guy Wolf Dominique Beaini 177 582 0 25 May 2022
Graph Neural Networks Intersect Probabilistic Graphical Models: A Survey Chenqing Hua Sitao Luan Qian Zhang Jie Fu 103 6 0 24 May 2022
High-Order Pooling for Graph Neural Networks with Tensor Decomposition Chenqing Hua Guillaume Rabusseau Jian Tang 122 26 0 24 May 2022
Compressing Deep Graph Neural Networks via Adversarial Knowledge Distillation Huarui He Jie Wang Zhanqiu Zhang Feng Wu 58 42 0 24 May 2022
Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction Kuangqi Zhou Kaixin Wang Jiashi Feng Jian Tang Tingyang Xu Xinchao Wang 68 1 0 23 May 2022
PyRelationAL: a python library for active learning research and development P. Scherer Thomas Gaudelet Alison Pouplin Alice Del Vecchio S. SurajM Oliver Bolton Jyothish Soman J. Taylor-King Lindsay Edwards KELM 49 0 0 23 May 2022
GraphMAE: Self-Supervised Masked Graph Autoencoders Zhenyu Hou Xiao Liu Yukuo Cen Yuxiao Dong Hongxia Yang C. Wang Jie Tang SSL 141 593 0 22 May 2022
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest Saket Gurukar Nikil Pancha Andrew Zhai Eric Kim Samson Hu Srinivas Parthasarathy Charles R. Rosenberg J. Leskovec 120 16 0 21 May 2022
Tackling Provably Hard Representative Selection via Graph Neural Networks Seyed Mehran Kazemi Anton Tsitsulin Hossein Esfandiari M. Bateni Deepak Ramachandran Bryan Perozzi Vahab Mirrokni 127 3 0 20 May 2022
On the Prediction Instability of Graph Neural Networks Max Klabunde Florian Lemmerich 93 5 0 20 May 2022
What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders Jintang Li Ruofan Wu Wangbin Sun Liang Chen Sheng Tian Liang Zhu Changhua Meng Zibin Zheng Weiqiang Wang SSL 102 96 0 20 May 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 123 57 0 19 May 2022
Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation Zhiqiang Zhong Sergey Ivanov Jun Pang 61 9 0 19 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Lizhen Qu Shirui Pan Hanghang Tong Jian Pei 139 110 0 16 May 2022
Simple and Effective Relation-based Embedding Propagation for Knowledge Representation Learning Huijuan Wang Siming Dai Weiyue Su Hui Zhong Zeyang Fang Zhengjie Huang Shi Feng Zeyu Chen Yu Sun Dianhai Yu 54 16 0 13 May 2022
KGTuner: Efficient Hyper-parameter Search for Knowledge Graph Learning Yongqi Zhang Zhanke Zhou Quanming Yao Yong Li 65 13 0 05 May 2022
PIE: a Parameter and Inference Efficient Solution for Large Scale Knowledge Graph Embedding Reasoning Linlin Chao Xiexiong Lin Taifeng Wang Wei Chu 73 7 0 29 Apr 2022
FlowGNN: A Dataflow Architecture for Real-Time Workload-Agnostic Graph Neural Network Inference Rishov Sarkar Stefan Abi-Karam Yuqiang He Lakshmi Sathidevi Cong Hao AI4CE GNN 101 31 0 27 Apr 2022
GTNet: A Tree-Based Deep Graph Learning Architecture Nan Wu Chaofan Wang 29 5 0 27 Apr 2022
Unified GCNs: Towards Connecting GCNs with CNNs Ziyan Zhang Bo Jiang Bin Luo GNN 83 1 0 26 Apr 2022
Optimizing Task Placement and Online Scheduling for Distributed GNN Training Acceleration Ziyue Luo Yixin Bao Chuan Wu GNN 35 9 0 24 Apr 2022
Modelling graph dynamics in fraud detection with "Attention" Susie Xi Rao Clémence Lanfranchi Shuai Zhang Zhichao Han Zitao Zhang Wei Min Mo Cheng Yinan Shan Yang Zhao Ce Zhang 32 4 0 22 Apr 2022
DropMessage: Unifying Random Dropping for Graph Neural Networks Taoran Fang Zhiqing Xiao Chunping Wang Jiarong Xu Xuan Yang Yang Yang 54 53 0 21 Apr 2022
GUARD: Graph Universal Adversarial Defense Jintang Li Jie Liao Ruofan Wu Liang Chen Zibin Zheng Jiawang Dan Changhua Meng Weiqiang Wang AAML 76 8 0 20 Apr 2022
Effects of Graph Convolutions in Multi-layer Networks Aseem Baranwal Kimon Fountoulakis Aukosh Jagannath 96 26 0 20 Apr 2022
Label Efficient Regularization and Propagation for Graph Node Classification Tian Xie Rajgopal Kannan C.-C. Jay Kuo 51 2 0 19 Apr 2022
TranS: Transition-based Knowledge Graph Embedding with Synthetic Relation Representation Xuanyu Zhang Qing Yang Dongliang Xu 104 22 0 18 Apr 2022
Characterizing and Understanding Distributed GNN Training on GPUs Haiyang Lin Yurui Lai Xiaocheng Yang Mo Zou Wenming Li Xiaochun Ye Xiaochun Ye GNN 58 13 0 18 Apr 2022
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities Chuang Liu Yibing Zhan Hongzhi Zhang Chang Li Bo Du Wenbin Hu Tongliang Liu Dacheng Tao GNN AI4CE 112 82 0 15 Apr 2022
EXPERT: Public Benchmarks for Dynamic Heterogeneous Academic Graphs Sameera Horawalavithana Ellyn Ayton A. Usenko Shivam Sharma Jasmine Eshun Robin Cosbey M. Glenski Svitlana Volkova 47 2 0 14 Apr 2022
Graph Ordering Attention Networks Michail Chatzianastasis J. Lutzeyer George Dasoulas Michalis Vazirgiannis GNN 60 20 0 11 Apr 2022
How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision Dongkwan Kim Alice Oh SSL GNN 124 260 0 11 Apr 2022
Explicit Feature Interaction-aware Graph Neural Networks Minkyu Kim Hyunseung Choi Jinho Kim GNN 73 8 0 07 Apr 2022
Graph Neural Networks Designed for Different Graph Types: A Survey J. M. Thomas Alice Moallemy-Oureh Silvia Beddar-Wiesing Clara Holzhuter 143 31 0 06 Apr 2022
Synthetic Graph Generation to Benchmark Graph Learning Anton Tsitsulin Benedek Rozemberczki John Palowitch Bryan Perozzi 121 29 0 04 Apr 2022
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications Kamilia Mullakaeva Luca Cosmo Anees Kazi Seyed-Ahmad Ahmadi Nassir Navab Michael M. Bronstein 83 8 0 01 Apr 2022
Mutual information estimation for graph convolutional neural networks Marius Cervera Landsverk S. Riemer-Sørensen SSL GNN 59 1 0 31 Mar 2022
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning Chuizheng Meng Sungyong Seo Defu Cao Sam Griesemer Yan Liu PINN AI4CE 122 59 0 31 Mar 2022
Pretraining Graph Neural Networks for few-shot Analog Circuit Modeling and Design Kourosh Hakhamaneshi Marcel Nassar Mariano Phielipp Pieter Abbeel Vladimir M. Stojanović AI4CE GNN SSL 50 35 0 29 Mar 2022
AUC Maximization in the Era of Big Data and AI: A Survey Tianbao Yang Yiming Ying 181 193 0 28 Mar 2022
TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs Hongkuan Zhou Da Zheng Israt Nisa Vasileios Ioannidis Xiang Song George Karypis AI4CE 95 89 0 28 Mar 2022
Metropolis-Hastings Data Augmentation for Graph Neural Networks Hyeon-ju Park Seunghun Lee S. Kim Jinyoung Park Jisu Jeong KyungHyun Kim Jung-Woo Ha Hyunwoo J. Kim 107 51 0 26 Mar 2022
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges S. Thais P. Calafiura G. Chachamis G. Dezoort Javier Mauricio Duarte S. Ganguly Michael Kagan D. Murnane Mark S. Neubauer K. Terao PINN AI4CE 121 31 0 23 Mar 2022
BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling Cheng Wan Youjie Li Ang Li Namjae Kim Yingyan Lin GNN 98 79 0 21 Mar 2022
PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication Cheng Wan Youjie Li Cameron R. Wolfe Anastasios Kyrillidis Namjae Kim Yingyan Lin GNN 96 70 0 20 Mar 2022
PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs Zehao Dong Muhan Zhang Fuhai Li Yixin Chen CML GNN 113 19 0 19 Mar 2022
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series Jean-Christophe Gagnon-Audet Kartik Ahuja Mohammad Javad Darvishi Bayazi Pooneh Mousavi G. Dumas Irina Rish OOD CML AI4TS 109 32 0 18 Mar 2022
Multimodal Learning on Graphs for Disease Relation Extraction Yucong Lin Keming Lu Sheng Yu Tianxi Cai Marinka Zitnik 60 31 0 16 Mar 2022
A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs Charles Tapley Hoyt M. Berrendorf Mikhail Galkin Volker Tresp Benjamin M. Gyori 88 20 0 14 Mar 2022