v1v2v3v4v5v6v7 (latest)

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
Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning Elan Markowitz Keshav Balasubramanian Mehrnoosh Mirtaheri Sami Abu-El-Haija Bryan Perozzi Greg Ver Steeg Aram Galstyan 65 22 0 08 Feb 2021
Enhance Information Propagation for Graph Neural Network by Heterogeneous Aggregations Dawei Leng Jinjiang Guo Lurong Pan Jie Li Xinyu Wang GNN 48 9 0 08 Feb 2021
Learning Conjoint Attentions for Graph Neural Nets Tiantian He Yew-Soon Ong Lu Bai GNN 65 55 0 05 Feb 2021
The EpiBench Platform to Propel AI/ML-based Epidemic Forecasting: A Prototype Demonstration Reaching Human Expert-level Performance Ajitesh Srivastava T. Xu Viktor Prasanna 24 1 0 04 Feb 2021
Calibrating and Improving Graph Contrastive Learning Kaili Ma Haochen Yang Han Yang Yongqiang Chen James Cheng 109 7 0 27 Jan 2021
Identity-aware Graph Neural Networks Jiaxuan You Jonathan M. Gomes-Selman Rex Ying J. Leskovec 69 259 0 25 Jan 2021
Learning Parametrised Graph Shift Operators George Dasoulas J. Lutzeyer Michalis Vazirgiannis OOD 61 22 0 25 Jan 2021
Boost then Convolve: Gradient Boosting Meets Graph Neural Networks Sergei Ivanov Liudmila Prokhorenkova AI4CE 100 53 0 21 Jan 2021
Directed Acyclic Graph Neural Networks Veronika Thost Jie Chen GNN AI4CE 116 109 0 20 Jan 2021
PyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph Neural Network Training with Irregular Accesses S. Min Kun Wu Sitao Huang Mert Hidayetouglu Jinjun Xiong Eiman Ebrahimi Deming Chen Wen-mei W. Hwu GNN AI4CE 58 24 0 20 Jan 2021
Graph Networks with Spectral Message Passing Kimberly L. Stachenfeld Jonathan Godwin Peter W. Battaglia 92 12 0 31 Dec 2020
Binary Graph Neural Networks Mehdi Bahri Gaétan Bahl Stefanos Zafeiriou GNN AI4CE 78 54 0 31 Dec 2020
Deep Graph Generators: A Survey Faezeh Faez Yassaman Ommi M. Baghshah Hamid R. Rabiee GNN AI4CE 117 58 0 31 Dec 2020
Adaptive Graph Diffusion Networks Chuxiong Sun Jie Hu Hongming Gu Jinpeng Chen Mingchuan Yang GNN DiffM AI4CE 88 12 0 30 Dec 2020
Motif-Driven Contrastive Learning of Graph Representations Shichang Zhang Ziniu Hu Arjun Subramonian Yizhou Sun SSL 78 10 0 23 Dec 2020
Analyzing the Performance of Graph Neural Networks with Pipe Parallelism M. Dearing Xiaoyang Sean Wang GNN AI4CE 23 3 0 20 Dec 2020
A pipeline for fair comparison of graph neural networks in node classification tasks Wentao Zhao Dalin Zhou X. Qiu Wei Jiang 62 5 0 19 Dec 2020
An Experimental Study of the Transferability of Spectral Graph Networks Axel Nilsson Xavier Bresson 63 3 0 18 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 170 126 0 16 Dec 2020
Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification Deli Chen Yankai Lin Lei Li Xuancheng Ren Peng Li Jie Zhou Xu Sun 92 5 0 14 Dec 2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 319 1,452 0 14 Dec 2020
Breaking the Expressive Bottlenecks of Graph Neural Networks Mingqi Yang Yanming Shen Heng Qi Baocai Yin 72 10 0 14 Dec 2020
LCS Graph Kernel Based on Wasserstein Distance in Longest Common Subsequence Metric Space Jianming Huang Zhongxi Fang Hiroyuki Kasai 52 20 0 07 Dec 2020
Deep Graph Neural Networks with Shallow Subgraph Samplers Hanqing Zeng Muhan Zhang Yinglong Xia Ajitesh Srivastava Andrey Malevich Rajgopal Kannan Viktor Prasanna Long Jin Ren Chen GNN 95 24 0 02 Dec 2020
Graph convolutions that can finally model local structure Rémy Brossard Oriel Frigo David Dehaene GNN 114 48 0 30 Nov 2020
Graph Signal Recovery Using Restricted Boltzmann Machines Ankith Mohan A. Nakano Emilio Ferrara 50 4 0 20 Nov 2020
Scalable Graph Neural Networks for Heterogeneous Graphs Lingfan Yu Jiajun Shen Jinyang Li Adam Lerer GNN 66 50 0 19 Nov 2020
Design Space for Graph Neural Networks Jiaxuan You Rex Ying J. Leskovec GNN AI4CE 206 323 0 17 Nov 2020
Graph Kernels: State-of-the-Art and Future Challenges Karsten Borgwardt Elisabetta Ghisu Felipe Llinares-López Leslie O’Bray Bastian Rieck AI4TS 99 107 0 07 Nov 2020
PairRE: Knowledge Graph Embeddings via Paired Relation Vectors Linlin Chao Jianshan He Taifeng Wang Wei Chu 95 167 0 07 Nov 2020
On Self-Distilling Graph Neural Network Y. Chen Yatao Bian Xi Xiao Yu Rong Tingyang Xu Junzhou Huang FedML 69 49 0 04 Nov 2020
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning Muhan Zhang Pan Li Yinglong Xia Kai Wang Long Jin 75 202 0 30 Oct 2020
GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs Hao Xu Shengqi Sang Peizhen Bai Laurence Yang Haiping Lu GNN 71 15 0 29 Oct 2020
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks Qian Huang Horace He Abhay Singh Ser-Nam Lim Austin R. Benson 94 283 0 27 Oct 2020
Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method Fuli Feng Weiran Huang Xiangnan He Xin Xin Qifan Wang Tat-Seng Chua GNN CML 68 63 0 22 Oct 2020
Joint Use of Node Attributes and Proximity for Semi-Supervised Classification on Graphs Arpit Merchant M. Mathioudakis 17 1 0 22 Oct 2020
Rethinking pooling in graph neural networks Diego Mesquita Amauri Souza Samuel Kaski GNN AI4CE 293 118 0 22 Oct 2020
Density of States Graph Kernels Leo Huang A. Graven D. Bindel 42 7 0 21 Oct 2020
Robust Optimization as Data Augmentation for Large-scale Graphs Kezhi Kong Ge Li Mucong Ding Zuxuan Wu Chen Zhu Guohao Li Gavin Taylor Tom Goldstein 150 77 0 19 Oct 2020
From Local Structures to Size Generalization in Graph Neural Networks Gilad Yehudai Ethan Fetaya E. Meirom Gal Chechik Haggai Maron GNN AI4CE 255 135 0 17 Oct 2020
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs Da Zheng Chao Ma Minjie Wang Jinjing Zhou Qidong Su Xiang Song Quan Gan Zheng Zhang George Karypis FedML GNN 71 250 0 11 Oct 2020
Directional Graph Networks Dominique Beaini Saro Passaro Vincent Létourneau William L. Hamilton Gabriele Corso Pietro Lio 105 193 0 06 Oct 2020
Multi-grained Semantics-aware Graph Neural Networks Zhiqiang Zhong Chengzong Li Jun Pang AI4CE 55 8 0 01 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 148 230 0 30 Sep 2020
Multi-hop Attention Graph Neural Network Guangtao Wang Rex Ying Jing Huang J. Leskovec 82 135 0 29 Sep 2020
Message Passing Neural Processes Ben Day Cătălina Cangea Arian R. Jamasb Pietro Lio 75 12 0 29 Sep 2020
Graph Neural Networks with Heterophily Jiong Zhu Ryan A. Rossi Anup B. Rao Tung Mai Nedim Lipka Nesreen Ahmed Danai Koutra 91 314 0 28 Sep 2020
Revisiting Graph Convolutional Network on Semi-Supervised Node Classification from an Optimization Perspective Hongwei Zhang Tijin Yan Zenjun Xie Yuanqing Xia Yuan Zhang GNN 81 24 0 24 Sep 2020
Improving Graph Property Prediction with Generalized Readout Functions Eric Alcaide OOD AI4CE 38 0 0 21 Sep 2020
Smoothness Sensor: Adaptive Smoothness-Transition Graph Convolutions for Attributed Graph Clustering Chaojie Ji Hongwei Chen Ruxin Wang Yunpeng Cai Hongyan Wu 61 12 0 12 Sep 2020