Architectural Implications of Graph Neural Networks

Architectural Implications of Graph Neural Networks

2 September 2020

Jingwen Leng

Papers citing "Architectural Implications of Graph Neural Networks"

11 / 11 papers shown

Title
Characterizing and Understanding GCNs on GPU Yurui Lai Zhaodong Chen Lei Deng Xiaochun Ye Zhimin Zhang Xiaochun Ye Yuan Xie BDL GNN 47 64 0 28 Jan 2020
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... Jiaqi Zhao Haotong Zhang Alex Smola Jinyang Li Zheng Zhang AI4CE GNN 280 755 0 03 Sep 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 220 4,336 0 06 Mar 2019
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 466 20,124 0 30 Oct 2017
Representation Learning on Graphs: Methods and Applications William L. Hamilton Rex Ying J. Leskovec GNN 169 1,976 0 17 Sep 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 487 15,218 0 07 Jun 2017
Modeling Relational Data with Graph Convolutional Networks Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling GNN 183 4,812 0 17 Mar 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 612 29,032 0 09 Sep 2016
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 186 10,863 0 03 Jul 2016
Gated Graph Sequence Neural Networks Yujia Li Daniel Tarlow Marc Brockschmidt R. Zemel GNN 339 3,282 0 17 Nov 2015
DeepWalk: Online Learning of Social Representations Bryan Perozzi Rami Al-Rfou Steven Skiena HAI 254 9,779 0 26 Mar 2014