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. 2206.07729
  4. Cited By
Taxonomy of Benchmarks in Graph Representation Learning

Taxonomy of Benchmarks in Graph Representation Learning

15 June 2022
Renming Liu
Semih Cantürk
Frederik Wenkel
Sarah McGuire
Devin Kreuzer
A. Little
Leslie O’Bray
Michael Perlmutter
Bastian Alexander Rieck
M. Hirn
Guy Wolf
Ladislav Rampášek
    OOD
ArXivPDFHTML

Papers citing "Taxonomy of Benchmarks in Graph Representation Learning"

10 / 10 papers shown
Title
MANTRA: The Manifold Triangulations Assemblage
MANTRA: The Manifold Triangulations Assemblage
Rubén Ballester
Ernst Röell
Daniel Bin Schmid
Mathieu Alain
Sergio Escalera
Carles Casacuberta
Bastian Rieck
44
2
0
03 Oct 2024
Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich
  Platform for Graph Learning Benchmarks
Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks
Jiaqi Ma
Xingjian Zhang
Hezheng Fan
Jin Huang
Tianyue Li
Tinghong Li
Yiwen Tu
Chen Zhu
Qiaozhu Mei
35
5
0
08 Dec 2022
Characterizing Graph Datasets for Node Classification:
  Homophily-Heterophily Dichotomy and Beyond
Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond
Oleg Platonov
Denis Kuznedelev
Artem Babenko
Liudmila Prokhorenkova
51
37
0
13 Sep 2022
GraphWorld: Fake Graphs Bring Real Insights for GNNs
GraphWorld: Fake Graphs Bring Real Insights for GNNs
John Palowitch
Anton Tsitsulin
Brandon Mayer
Bryan Perozzi
GNN
183
68
0
28 Feb 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
172
1,100
0
27 Apr 2021
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
186
913
0
02 Mar 2020
Geom-GCN: Geometric Graph Convolutional Networks
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
169
1,077
0
13 Feb 2020
Multi-scale Attributed Node Embedding
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
145
833
0
28 Sep 2019
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
162
1,775
0
02 Mar 2017
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
236
3,234
0
24 Nov 2016
1