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2407.03125
Cited By
Foundations and Frontiers of Graph Learning Theory
3 July 2024
Yu Huang
Min Zhou
Menglin Yang
Zhen Wang
Muhan Zhang
Jie Wang
Hong Xie
Hao Wang
Defu Lian
Enhong Chen
AI4CE
GNN
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Papers citing
"Foundations and Frontiers of Graph Learning Theory"
18 / 18 papers shown
Title
Unveiling Mode Connectivity in Graph Neural Networks
Bingheng Li
Z. Chen
Haoyu Han
Shenglai Zeng
J. Liu
Jiliang Tang
45
0
0
18 Feb 2025
Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness
Bohang Zhang
Jingchu Gai
Yiheng Du
Qiwei Ye
Di He
Liwei Wang
43
33
0
16 Jan 2024
MATA*: Combining Learnable Node Matching with A* Algorithm for Approximate Graph Edit Distance Computation
Junfeng Liu
Min Zhou
Shuai Ma
Lujia Pan
31
9
0
04 Nov 2023
Mitigating Over-Smoothing and Over-Squashing using Augmentations of Forman-Ricci Curvature
Lukas Fesser
Melanie Weber
65
20
0
17 Sep 2023
The Descriptive Complexity of Graph Neural Networks
Martin Grohe
GNN
39
22
0
08 Mar 2023
Transposed Variational Auto-encoder with Intrinsic Feature Learning for Traffic Forecasting
Leyan Deng
Chenwang Wu
Defu Lian
Mintao Zhou
19
4
0
30 Oct 2022
Boosting the Cycle Counting Power of Graph Neural Networks with I
2
^2
2
-GNNs
Yinan Huang
Xingang Peng
Jianzhu Ma
Muhan Zhang
81
46
0
22 Oct 2022
Weisfeiler-Lehman goes Dynamic: An Analysis of the Expressive Power of Graph Neural Networks for Attributed and Dynamic Graphs
Silvia Beddar-Wiesing
Giuseppe Alessio D’Inverno
C. Graziani
Veronica Lachi
Alice Moallemy-Oureh
F. Scarselli
J. M. Thomas
31
9
0
08 Oct 2022
Expander Graph Propagation
Andreea Deac
Marc Lackenby
Petar Velivcković
96
52
0
06 Oct 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs
Yangze Zhou
Gitta Kutyniok
Bruno Ribeiro
OODD
AI4CE
73
37
0
30 May 2022
How Powerful are Spectral Graph Neural Networks
Xiyuan Wang
Muhan Zhang
72
179
0
23 May 2022
Message passing all the way up
Petar Velickovic
111
63
0
22 Feb 2022
A Theoretical Comparison of Graph Neural Network Extensions
Pál András Papp
Roger Wattenhofer
95
45
0
30 Jan 2022
Graph Neural Networks with Learnable Structural and Positional Representations
Vijay Prakash Dwivedi
A. Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
GNN
194
308
0
15 Oct 2021
Reconstruction for Powerful Graph Representations
Leonardo Cotta
Christopher Morris
Bruno Ribeiro
AI4CE
127
78
0
01 Oct 2021
Beyond Low-frequency Information in Graph Convolutional Networks
Deyu Bo
Xiao Wang
C. Shi
Huawei Shen
GNN
94
558
0
04 Jan 2021
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
189
914
0
02 Mar 2020
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
267
1,944
0
09 Jun 2018
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