ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2304.14793
  4. Cited By
Learning Graph Neural Networks using Exact Compression

Learning Graph Neural Networks using Exact Compression

28 April 2023
Jeroen Bollen
Jasper Steegmans
Jan Van den Bussche
Stijn Vansummeren
    GNNAI4CE
ArXiv (abs)PDFHTML

Papers citing "Learning Graph Neural Networks using Exact Compression"

14 / 14 papers shown
Title
Characterizing and Understanding Distributed GNN Training on GPUs
Characterizing and Understanding Distributed GNN Training on GPUs
Haiyang Lin
Yurui Lai
Xiaocheng Yang
Mo Zou
Wenming Li
Xiaochun Ye
Xiaochun Ye
GNN
51
13
0
18 Apr 2022
On the expressive power of message-passing neural networks as global
  feature map transformers
On the expressive power of message-passing neural networks as global feature map transformers
Floris Geerts
Jasper Steegmans
Jan Van den Bussche
41
6
0
17 Mar 2022
The Logic of Graph Neural Networks
The Logic of Graph Neural Networks
Martin Grohe
AI4CE
56
92
0
29 Apr 2021
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Weihua Hu
Matthias Fey
Marinka Zitnik
Yuxiao Dong
Hongyu Ren
Bowen Liu
Michele Catasta
J. Leskovec
311
2,752
0
02 May 2020
Distributed Learning of Deep Neural Networks using Independent Subnet
  Training
Distributed Learning of Deep Neural Networks using Independent Subnet Training
John Shelton Hyatt
Cameron R. Wolfe
Michael Lee
Yuxin Tang
Anastasios Kyrillidis
Christopher M. Jermaine
OOD
92
39
0
04 Oct 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaMLGNNAI4TSAI4CE
805
8,597
0
03 Jan 2019
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Christopher Morris
Martin Ritzert
Matthias Fey
William L. Hamilton
J. E. Lenssen
Gaurav Rattan
Martin Grohe
GNN
194
1,646
0
04 Oct 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
261
7,710
0
01 Oct 2018
Adaptive Sampling Towards Fast Graph Representation Learning
Adaptive Sampling Towards Fast Graph Representation Learning
Wen-bing Huang
Tong Zhang
Yu Rong
Junzhou Huang
GNN
86
492
0
14 Sep 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Rex Ying
Ruining He
Kaifeng Chen
Pong Eksombatchai
William L. Hamilton
J. Leskovec
GNNBDL
272
3,555
0
06 Jun 2018
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CENAI
769
3,132
0
04 Jun 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance
  Sampling
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
Jie Chen
Tengfei Ma
Cao Xiao
GNN
154
1,517
0
30 Jan 2018
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
518
15,369
0
07 Jun 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
598
7,500
0
04 Apr 2017
1