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. 2306.17482
  4. Cited By
Graphtester: Exploring Theoretical Boundaries of GNNs on Graph Datasets

Graphtester: Exploring Theoretical Boundaries of GNNs on Graph Datasets

30 June 2023
Eren Akbiyik
Florian Grötschla
Béni Egressy
Roger Wattenhofer
ArXivPDFHTML

Papers citing "Graphtester: Exploring Theoretical Boundaries of GNNs on Graph Datasets"

4 / 4 papers shown
Title
A Theoretical Comparison of Graph Neural Network Extensions
A Theoretical Comparison of Graph Neural Network Extensions
Pál András Papp
Roger Wattenhofer
92
45
0
30 Jan 2022
Graph Neural Networks with Learnable Structural and Positional
  Representations
Graph Neural Networks with Learnable Structural and Positional Representations
Vijay Prakash Dwivedi
A. Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
GNN
179
304
0
15 Oct 2021
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
175
907
0
02 Mar 2020
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
228
3,202
0
24 Nov 2016
1