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On the Bottleneck of Graph Neural Networks and its Practical
  Implications

On the Bottleneck of Graph Neural Networks and its Practical Implications

9 June 2020
Uri Alon
Eran Yahav
    GNN
ArXivPDFHTML

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

50 / 403 papers shown
Title
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
34
0
0
07 May 2025
SFi-Former: Sparse Flow Induced Attention for Graph Transformer
SFi-Former: Sparse Flow Induced Attention for Graph Transformer
ZeLin Li
J. Q. Shi
Xinming Zhang
Miao Zhang
B. Li
44
0
0
29 Apr 2025
Simplifying Graph Transformers
Simplifying Graph Transformers
Liheng Ma
Soumyasundar Pal
Yingxue Zhang
Philip H. S. Torr
Mark J. Coates
26
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
48
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
41
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
72
0
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
39
0
0
07 Mar 2025
Rethinking Light Decoder-based Solvers for Vehicle Routing Problems
Ziwei Huang
Jianan Zhou
Zhiguang Cao
Yixin Xu
33
1
0
02 Mar 2025
Performance Heterogeneity in Graph Neural Networks: Lessons for Architecture Design and Preprocessing
Lukas Fesser
Melanie Weber
36
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
42
2
0
15 Feb 2025
Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet Excellence
Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet Excellence
Yuankai Luo
Lei Shi
Xiao-Ming Wu
AI4CE
72
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
95
0
0
13 Feb 2025
Effects of Random Edge-Dropping on Over-Squashing in Graph Neural Networks
Effects of Random Edge-Dropping on Over-Squashing in Graph Neural Networks
Jasraj Singh
Keyue Jiang
Brooks Paige
Laura Toni
70
1
0
11 Feb 2025
HiPoNet: A Topology-Preserving Multi-View Neural Network For High Dimensional Point Cloud and Single-Cell Data
HiPoNet: A Topology-Preserving Multi-View Neural Network For High Dimensional Point Cloud and Single-Cell Data
Siddharth Viswanath
Hiren Madhu
Dhananjay Bhaskar
Jake Kovalic
Dave Johnson
Rex Ying
Christopher J. Tape
Ian M. Adelstein
Michael Perlmutter
Smita Krishnaswamy
3DPC
90
1
0
11 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
85
1
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
80
1
0
09 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 Alexander Rieck
86
1
0
04 Feb 2025
Policy Guided Tree Search for Enhanced LLM Reasoning
Policy Guided Tree Search for Enhanced LLM Reasoning
Yang Li
LRM
53
0
0
04 Feb 2025
Using Random Noise Equivariantly to Boost Graph Neural Networks Universally
Using Random Noise Equivariantly to Boost Graph Neural Networks Universally
Xuben Wang
Muhan Zhang
107
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
Qiang Xu
Zhengyuan Shi
Guohao Dai
Ningyi Xu
Qiang Xu
GNN
89
2
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
59
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
67
2
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
62
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
71
1
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
67
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
81
2
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
21
0
0
14 Nov 2024
ELU-GCN: Effectively Label-Utilizing Graph Convolutional Network
ELU-GCN: Effectively Label-Utilizing Graph Convolutional Network
Jincheng Huang
Yujie Mo
Xiaoshuang Shi
Lei Feng
Xiaofeng Zhu
39
0
0
04 Nov 2024
Towards Dynamic Message Passing on Graphs
Towards Dynamic Message Passing on Graphs
Junshu Sun
Chenxue Yang
Xiangyang Ji
Qingming Huang
Shuhui Wang
37
0
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
37
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
30
1
0
24 Oct 2024
Deep Equilibrium Algorithmic Reasoning
Deep Equilibrium Algorithmic Reasoning
Dobrik Georgiev
JJ Wilson
Davide Buffelli
Pietro Lio'
31
0
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
26
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
37
0
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
GNN
AI4CE
52
0
0
11 Oct 2024
FSW-GNN: A Bi-Lipschitz WL-Equivalent Graph Neural Network
FSW-GNN: A Bi-Lipschitz WL-Equivalent Graph Neural Network
Yonatan Sverdlov
Yair Davidson
Nadav Dym
Tal Amir
33
3
0
10 Oct 2024
Accelerating Error Correction Code Transformers
Accelerating Error Correction Code Transformers
Matan Levy
Yoni Choukroun
Lior Wolf
MQ
21
0
0
08 Oct 2024
When Graph Neural Networks Meet Dynamic Mode Decomposition
When Graph Neural Networks Meet Dynamic Mode Decomposition
Dai Shi
Lequan Lin
Andi Han
Zhiyong Wang
Yi Guo
Junbin Gao
AI4CE
23
0
0
08 Oct 2024
Cayley Graph Propagation
Cayley Graph Propagation
JJ Wilson
Maya Bechler-Speicher
Petar Veličković
32
5
0
04 Oct 2024
Discovering Message Passing Hierarchies for Mesh-Based Physics
  Simulation
Discovering Message Passing Hierarchies for Mesh-Based Physics Simulation
Huayu Deng
Xiangming Zhu
Yunbo Wang
Xiaokang Yang
PINN
AI4CE
29
0
0
03 Oct 2024
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
3
0
03 Oct 2024
Simplifying complex machine learning by linearly separable network
  embedding spaces
Simplifying complex machine learning by linearly separable network embedding spaces
Alexandros Xenos
N. Malod-Dognin
Natasa Przulj
20
0
0
02 Oct 2024
DuoGNN: Topology-aware Graph Neural Network with Homophily and
  Heterophily Interaction-Decoupling
DuoGNN: Topology-aware Graph Neural Network with Homophily and Heterophily Interaction-Decoupling
K. Mancini
I. Rekik
40
1
0
29 Sep 2024
Supra-Laplacian Encoding for Transformer on Dynamic Graphs
Supra-Laplacian Encoding for Transformer on Dynamic Graphs
Yannis Karmim
Marc Lafon
Raphael Fournier SÑiehotta
Nicolas Thome
30
0
0
26 Sep 2024
KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning
KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning
Junnan Liu
Qianren Mao
Weifeng Jiang
Jianxin Li
35
0
0
19 Sep 2024
Preventing Representational Rank Collapse in MPNNs by Splitting the
  Computational Graph
Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph
Andreas Roth
Franka Bause
Nils M. Kriege
Thomas Liebig
35
3
0
17 Sep 2024
Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic
  Graph Learning
Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning
Qincheng Lu
Jiaqi Zhu
Sitao Luan
Xiao-Wen Chang
33
2
0
15 Sep 2024
Heterogeneous Sheaf Neural Networks
Heterogeneous Sheaf Neural Networks
Luke Braithwaite
Iulia Duta
Pietro Liò
30
1
0
12 Sep 2024
On the design space between molecular mechanics and machine learning
  force fields
On the design space between molecular mechanics and machine learning force fields
Yuanqing Wang
Kenichiro Takaba
Michael S. Chen
Marcus Wieder
Yuzhi Xu
...
Kyunghyun Cho
Joe G. Greener
Peter K. Eastman
Stefano Martiniani
M. Tuckerman
AI4CE
42
4
0
03 Sep 2024
Contrastive Representation Learning for Dynamic Link Prediction in
  Temporal Networks
Contrastive Representation Learning for Dynamic Link Prediction in Temporal Networks
Amirhossein Nouranizadeh
Fatemeh Tabatabaei Far
Mohammad Rahmati
AI4TS
32
1
0
22 Aug 2024
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