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
Universal Deep GNNs: Rethinking Residual Connection in GNNs from a Path Decomposition Perspective for Preventing the Over-smoothing Jie Chen Weiqi Liu Zhizhong Huang Junbin Gao Junping Zhang Jian Pu 37 3 0 30 May 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs Yangze Zhou Gitta Kutyniok Bruno Ribeiro OODD AI4CE 85 37 0 30 May 2022
Embedding Graphs on Grassmann Manifold Bingxin Zhou Xuebin Zheng Yu Guang Wang Ming Li Junbin Gao 35 3 0 30 May 2022
Rethinking the Setting of Semi-supervised Learning on Graphs Ziang Li Ming Ding Weikai Li Zihan Wang Ziyu Zeng Yukuo Cen Jie Tang 19 0 0 28 May 2022
StarGraph: Knowledge Representation Learning based on Incomplete Two-hop Subgraph Hongzhu Li Xiang Gao Linhui Feng Yafeng Deng Yuhui Yin 20 2 0 27 May 2022
Bayesian Robust Graph Contrastive Learning Yancheng Wang Yingzhen Yang OOD 30 1 0 27 May 2022
Deep Ensembles for Graphs with Higher-order Dependencies Steven J. Krieg William C. Burgis Patrick M. Soga Nitesh Chawla AI4CE GNN 24 3 0 27 May 2022
Bias Reduction via Cooperative Bargaining in Synthetic Graph Dataset Generation Axel Wassington S. Abadal 16 4 0 27 May 2022
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks Runlin Lei Zhen Wang Yaliang Li Bolin Ding Zhewei Wei AAML 35 43 0 27 May 2022
How Powerful are K-hop Message Passing Graph Neural Networks Jiarui Feng Yixin Chen Fuhai Li Anindya Sarkar Muhan Zhang 14 100 0 26 May 2022
DT+GNN: A Fully Explainable Graph Neural Network using Decision Trees Peter Müller Lukas Faber Karolis Martinkus Roger Wattenhofer 45 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 83 527 0 25 May 2022
Graph Neural Networks Intersect Probabilistic Graphical Models: A Survey Chenqing Hua Sitao Luan Qian Zhang Jie Fu 20 6 0 24 May 2022
High-Order Pooling for Graph Neural Networks with Tensor Decomposition Chenqing Hua Guillaume Rabusseau Jian Tang 81 25 0 24 May 2022
Compressing Deep Graph Neural Networks via Adversarial Knowledge Distillation Huarui He Jie Wang Zhanqiu Zhang Feng Wu 25 40 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 31 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 27 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 52 551 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 73 14 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 31 2 0 20 May 2022
On the Prediction Instability of Graph Neural Networks Max Klabunde Florian Lemmerich 40 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 29 81 0 20 May 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 39 54 0 19 May 2022
Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation Zhiqiang Zhong Sergey Ivanov Jun Pang 45 9 0 19 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 47 104 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 32 16 0 13 May 2022
KGTuner: Efficient Hyper-parameter Search for Knowledge Graph Learning Yongqi Zhang Zhanke Zhou Quanming Yao Yong Li 8 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 15 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 37 29 0 27 Apr 2022
GTNet: A Tree-Based Deep Graph Learning Architecture Nan Wu Chaofan Wang 21 5 0 27 Apr 2022
Unified GCNs: Towards Connecting GCNs with CNNs Ziyan Zhang Bo Jiang Bin Luo GNN 36 1 0 26 Apr 2022
Optimizing Task Placement and Online Scheduling for Distributed GNN Training Acceleration Ziyue Luo Yixin Bao Chuan Wu GNN 19 8 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 21 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 24 47 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 28 8 0 20 Apr 2022
Effects of Graph Convolutions in Multi-layer Networks Aseem Baranwal K. Fountoulakis Aukosh Jagannath 23 24 0 20 Apr 2022
Label Efficient Regularization and Propagation for Graph Node Classification Tian Xie Rajgopal Kannan C.-C. Jay Kuo 27 2 0 19 Apr 2022
TranS: Transition-based Knowledge Graph Embedding with Synthetic Relation Representation Xuanyu Zhang Qing Yang Dongliang Xu 26 21 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 30 13 0 18 Apr 2022
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities Chuang Liu Yibing Zhan Jia Wu Chang Li Bo Du Wenbin Hu Tongliang Liu Dacheng Tao GNN AI4CE 35 80 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 45 2 0 14 Apr 2022
Graph Ordering Attention Networks Michail Chatzianastasis J. Lutzeyer George Dasoulas Michalis Vazirgiannis GNN 33 18 0 11 Apr 2022
How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision Dongkwan Kim Alice Oh SSL GNN 31 254 0 11 Apr 2022
Explicit Feature Interaction-aware Graph Neural Networks Minkyu Kim Hyunseung Choi Jinho Kim GNN 24 6 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 31 29 0 06 Apr 2022
Synthetic Graph Generation to Benchmark Graph Learning Anton Tsitsulin Benedek Rozemberczki John Palowitch Bryan Perozzi 41 27 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 42 6 0 01 Apr 2022
Mutual information estimation for graph convolutional neural networks Marius Cervera Landsverk S. Riemer-Sørensen SSL GNN 27 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 56 57 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 24 31 0 29 Mar 2022