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On the Bottleneck of Graph Neural Networks and its Practical
  Implications
v1v2v3v4 (latest)

On the Bottleneck of Graph Neural Networks and its Practical Implications

9 June 2020
Uri Alon
Eran Yahav
    GNN
ArXiv (abs)PDFHTMLGithub (94★)

Papers citing "On the Bottleneck of Graph Neural Networks and its Practical Implications"

50 / 416 papers shown
Title
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification
Langzhang Liang
Fanchen Bu
Zixing Song
Zenglin Xu
Shirui Pan
Kijung Shin
16
0
0
19 Jun 2025
Over-squashing in Spatiotemporal Graph Neural Networks
Over-squashing in Spatiotemporal Graph Neural Networks
Ivan Marisca
Jacob Bamberger
Cesare Alippi
Michael M. Bronstein
40
0
0
18 Jun 2025
GITO: Graph-Informed Transformer Operator for Learning Complex Partial Differential Equations
GITO: Graph-Informed Transformer Operator for Learning Complex Partial Differential Equations
Milad Ramezankhani
Janak M. Patel
A. Deodhar
Dagnachew Birru
AI4CE
20
0
0
16 Jun 2025
How do Probabilistic Graphical Models and Graph Neural Networks Look at Network Data?
How do Probabilistic Graphical Models and Graph Neural Networks Look at Network Data?
Michela Lapenna
Caterina De Bacco
82
0
0
13 Jun 2025
FuncGNN: Learning Functional Semantics of Logic Circuits with Graph Neural Networks
FuncGNN: Learning Functional Semantics of Logic Circuits with Graph Neural Networks
Qiyun Zhao
GNN
15
0
0
07 Jun 2025
Demystifying Topological Message-Passing with Relational Structures: A Case Study on Oversquashing in Simplicial Message-Passing
Demystifying Topological Message-Passing with Relational Structures: A Case Study on Oversquashing in Simplicial Message-Passing
Diaaeldin Taha
James Chapman
Marzieh Eidi
Karel Devriendt
Guido Montúfar
28
0
0
06 Jun 2025
Influence Functions for Edge Edits in Non-Convex Graph Neural Networks
Jaeseung Heo
Kyeongheung Yun
Seokwon Yoon
M. Park
Jungseul Ok
Dongwoo Kim
TDIAAML
130
0
0
05 Jun 2025
Weisfeiler and Leman Go Gambling: Why Expressive Lottery Tickets Win
Weisfeiler and Leman Go Gambling: Why Expressive Lottery Tickets Win
Lorenz Kummer
Samir Moustafa
Anatol Ehrlich
Franka Bause
Nikolaus Suess
Wilfried Gansterer
Nils M. Kriege
59
0
0
04 Jun 2025
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution
Wenhao Song
Xuan Wu
Bo Yang
You Zhou
Yubin Xiao
Yanchun Liang
H. Ge
Heow Pueh Lee
Chunguo Wu
63
0
0
02 Jun 2025
Improving the Effective Receptive Field of Message-Passing Neural Networks
Improving the Effective Receptive Field of Message-Passing Neural Networks
Shahaf E. Finder
Ron Shapira Weber
Moshe Eliasof
Oren Freifeld
Eran Treister
72
0
0
29 May 2025
Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks
Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks
Sungwon Kim
Namkyeong Lee
Yunyoung Doh
Seungmin Shin
Guimok Cho
Seung-Won Jeon
Sangkook Kim
Chanyoung Park
30
0
0
27 May 2025
DAM-GT: Dual Positional Encoding-Based Attention Masking Graph Transformer for Node Classification
DAM-GT: Dual Positional Encoding-Based Attention Masking Graph Transformer for Node Classification
Chenyang Li
Jinsong Chen
John E. Hopcroft
Kun He
53
0
0
23 May 2025
Early-Exit Graph Neural Networks
Early-Exit Graph Neural Networks
Andrea Giuseppe Di Francesco
Maria Sofia Bucarelli
F. M. Nardini
R. Perego
Nicola Tonellotto
Fabrizio Silvestri
140
0
0
23 May 2025
Oversmoothing, Oversquashing, Heterophily, Long-Range, and more: Demystifying Common Beliefs in Graph Machine Learning
Oversmoothing, Oversquashing, Heterophily, Long-Range, and more: Demystifying Common Beliefs in Graph Machine Learning
Adrian Arnaiz-Rodriguez
Federico Errica
AI4CE
87
1
0
21 May 2025
Electrostatics from Laplacian Eigenbasis for Neural Network Interatomic Potentials
Electrostatics from Laplacian Eigenbasis for Neural Network Interatomic Potentials
Maksim Zhdanov
Vladislav Kurenkov
59
0
0
20 May 2025
It Takes a Graph to Know a Graph: Rewiring for Homophily with a Reference Graph
It Takes a Graph to Know a Graph: Rewiring for Homophily with a Reference Graph
Harel Mendelman
Haggai Maron
Ronen Talmon
97
0
0
18 May 2025
Relational Graph Transformer
Relational Graph Transformer
Vijay Prakash Dwivedi
Sri Jaladi
Yangyi Shen
Federico López
Charilaos I. Kanatsoulis
Rishi Puri
Matthias Fey
Jure Leskovec
79
1
0
16 May 2025
Schreier-Coset Graph Propagation
Schreier-Coset Graph Propagation
Aryan Mishra
Lizhen Lin
109
0
0
15 May 2025
Multi-Granular Attention based Heterogeneous Hypergraph Neural Network
Multi-Granular Attention based Heterogeneous Hypergraph Neural Network
Hong Jin
Kaicheng Zhou
Jie Yin
Lan You
Zhifeng Zhou
66
0
0
07 May 2025
SFi-Former: Sparse Flow Induced Attention for Graph Transformer
SFi-Former: Sparse Flow Induced Attention for Graph Transformer
Zechao Li
J. Q. Shi
Xinming Zhang
Miao Zhang
B. Li
118
0
0
29 Apr 2025
Plain Transformers Can be Powerful Graph Learners
Plain Transformers Can be Powerful Graph Learners
Liheng Ma
Soumyasundar Pal
Yingxue Zhang
Philip Torr
Mark Coates
81
0
0
17 Apr 2025
Reducing Smoothness with Expressive Memory Enhanced Hierarchical Graph Neural Networks
Reducing Smoothness with Expressive Memory Enhanced Hierarchical Graph Neural Networks
Thomas Bailie
Yun Sing Koh
S. Karthik Mukkavilli
V. Vetrova
AI4TS
254
0
0
01 Apr 2025
BioX-CPath: Biologically-driven Explainable Diagnostics for Multistain IHC Computational Pathology
BioX-CPath: Biologically-driven Explainable Diagnostics for Multistain IHC Computational Pathology
Amaya Gallagher-Syed
Henry Senior
Omnia Alwazzan
Elena Pontarini
Michele Bombardieri
C. Pitzalis
M. Lewis
Michael Barnes
Luca Rossi
Gregory G. Slabaugh
129
0
0
26 Mar 2025
Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement
Huidong Liang
Haitz Sáez de Ocáriz Borde
Baskaran Sripathmanathan
Michael M. Bronstein
Xiaowen Dong
GNN
131
1
0
12 Mar 2025
Global graph features unveiled by unsupervised geometric deep learning
Mirja Granfors
Jesús Pineda
Blanca Zufiria Gerbolés
J. Pereira
Carlo Manzo
Giovanni Volpe
69
0
0
07 Mar 2025
Rethinking Light Decoder-based Solvers for Vehicle Routing Problems
Ziwei Huang
Jianan Zhou
Zhiguang Cao
Yixin Xu
91
6
0
02 Mar 2025
Performance Heterogeneity in Graph Neural Networks: Lessons for Architecture Design and Preprocessing
Lukas Fesser
Melanie Weber
68
0
0
01 Mar 2025
On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning
On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning
Alvaro Arroyo
Alessio Gravina
Benjamin Gutteridge
Federico Barbero
Claudio Gallicchio
Xiaowen Dong
Michael M. Bronstein
P. Vandergheynst
147
13
0
15 Feb 2025
Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence
Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence
Yuankai Luo
Lei Shi
Xiao-Ming Wu
AI4CE
234
0
0
13 Feb 2025
Simple Path Structural Encoding for Graph Transformers
Simple Path Structural Encoding for Graph Transformers
Louis Airale
Antonio Longa
Mattia Rigon
Andrea Passerini
Roberto Passerone
197
0
0
13 Feb 2025
What makes a good feedforward computational graph?
What makes a good feedforward computational graph?
Alex Vitvitskyi
J. G. Araújo
Marc Lackenby
Petar Velickovic
131
3
0
10 Feb 2025
Provably Overwhelming Transformer Models with Designed Inputs
Provably Overwhelming Transformer Models with Designed Inputs
Lev Stambler
Seyed Sajjad Nezhadi
Matthew Coudron
146
1
0
09 Feb 2025
Policy Guided Tree Search for Enhanced LLM Reasoning
Policy Guided Tree Search for Enhanced LLM Reasoning
Yang Li
LRM
194
0
0
04 Feb 2025
No Metric to Rule Them All: Toward Principled Evaluations of Graph-Learning Datasets
No Metric to Rule Them All: Toward Principled Evaluations of Graph-Learning Datasets
Corinna Coupette
Jeremy Wayland
Emily Simons
Bastian Rieck
176
3
0
04 Feb 2025
Using Random Noise Equivariantly to Boost Graph Neural Networks Universally
Using Random Noise Equivariantly to Boost Graph Neural Networks Universally
Xiang Wang
Muhan Zhang
253
0
0
04 Feb 2025
DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale
DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale
Ziyang Zheng
Shan Huang
Jianyuan Zhong
Zhengyuan Shi
Guohao Dai
Ningyi Xu
Qiang Xu
GNN
149
4
0
02 Feb 2025
MVGT: A Multi-view Graph Transformer Based on Spatial Relations for EEG Emotion Recognition
MVGT: A Multi-view Graph Transformer Based on Spatial Relations for EEG Emotion Recognition
Yanjie Cui
Xiaohong Liu
Jing Liang
Yamin Fu
163
1
0
17 Jan 2025
Graph Triple Attention Network: A Decoupled Perspective
Graph Triple Attention Network: A Decoupled Perspective
Xiaotang Wang
Yun Zhu
Haizhou Shi
Yongchao Liu
Chuntao Hong
198
3
0
03 Jan 2025
Spatial Clustering of Molecular Localizations with Graph Neural Networks
Jesús Pineda
Sergi Masó-Orriols
Joan Bertran
Mattias Goksör
Giovanni Volpe
Carlo Manzo
118
0
0
29 Nov 2024
Rewiring Techniques to Mitigate Oversquashing and Oversmoothing in GNNs:
  A Survey
Rewiring Techniques to Mitigate Oversquashing and Oversmoothing in GNNs: A Survey
Hugo Attali
Davide Buscaldi
Nathalie Pernelle
AI4CE
163
4
0
26 Nov 2024
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers
Guoguo Ai
Guansong Pang
Hezhe Qiao
Yuan Gao
Hui Yan
190
0
0
26 Nov 2024
Best of Both Worlds: Advantages of Hybrid Graph Sequence Models
Best of Both Worlds: Advantages of Hybrid Graph Sequence Models
Ali Behrouz
Ali Parviz
Mahdi Karami
Clayton Sanford
Bryan Perozzi
Vahab Mirrokni
157
3
0
23 Nov 2024
GRAINRec: Graph and Attention Integrated Approach for Real-Time
  Session-Based Item Recommendations
GRAINRec: Graph and Attention Integrated Approach for Real-Time Session-Based Item Recommendations
Bhavtosh Rath
Pushkar Chennu
David Relyea
Prathyusha Kanmanth Reddy
Amit Pande
56
0
0
14 Nov 2024
Towards Dynamic Message Passing on Graphs
Towards Dynamic Message Passing on Graphs
Junshu Sun
Chenxue Yang
Xiangyang Ji
Qingming Huang
Shuhui Wang
85
1
0
31 Oct 2024
A Cosmic-Scale Benchmark for Symmetry-Preserving Data Processing
A Cosmic-Scale Benchmark for Symmetry-Preserving Data Processing
Julia Balla
S. Mishra-Sharma
C. Cuesta-Lázaro
Tommi Jaakkola
Tess E. Smidt
69
1
0
27 Oct 2024
Homomorphism Counts as Structural Encodings for Graph Learning
Homomorphism Counts as Structural Encodings for Graph Learning
Linus Bao
Emily Jin
Michael M. Bronstein
.Ismail .Ilkan Ceylan
Matthias Lanzinger
100
1
0
24 Oct 2024
Deep Equilibrium Algorithmic Reasoning
Deep Equilibrium Algorithmic Reasoning
Dobrik Georgiev
JJ Wilson
Davide Buffelli
Pietro Lio
89
1
0
19 Oct 2024
Rethinking Graph Transformer Architecture Design for Node Classification
Rethinking Graph Transformer Architecture Design for Node Classification
Jiajun Zhou
Xuanze Chen
Chenxuan Xie
Yu Shanqing
Qi Xuan
Xiaoniu Yang
66
0
0
15 Oct 2024
Towards Stable, Globally Expressive Graph Representations with Laplacian
  Eigenvectors
Towards Stable, Globally Expressive Graph Representations with Laplacian Eigenvectors
Junru Zhou
Cai Zhou
Xiyuan Wang
Pan Li
Muhan Zhang
115
1
0
13 Oct 2024
IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks
IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks
Junchao Lin
Zenan Ling
Zhanbo Feng
Feng Zhou
Jingwen Xu
Feng Zhou
Tianqi Hou
Zhenyu Liao
Robert C. Qiu
GNNAI4CE
180
0
0
11 Oct 2024
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