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2006.05205
Cited By
On the Bottleneck of Graph Neural Networks and its Practical Implications
9 June 2020
Uri Alon
Eran Yahav
GNN
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Papers citing
"On the Bottleneck of Graph Neural Networks and its Practical Implications"
50 / 403 papers shown
Title
HyperGALE: ASD Classification via Hypergraph Gated Attention with Learnable Hyperedges
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Lalith Bharadwaj Baru
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Raju Surampudi Bapi
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Layer-diverse Negative Sampling for Graph Neural Networks
Wei Duan
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Graph Unitary Message Passing
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Yatao Bian
Quanming Yao
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LaB-GATr: geometric algebra transformers for large biomedical surface and volume meshes
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Baris Imre
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12 Mar 2024
Representation Learning on Heterophilic Graph with Directional Neighborhood Attention
Qincheng Lu
Jiaqi Zhu
Sitao Luan
Xiaomeng Chang
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03 Mar 2024
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time
Chenhui Deng
Zichao Yue
Zhiru Zhang
96
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02 Mar 2024
Graph Learning with Distributional Edge Layouts
Xinjian Zhao
Chaolong Ying
Tianshu Yu
31
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26 Feb 2024
Graph Parsing Networks
Yunchong Song
Siyuan Huang
Xinbing Wang
Cheng Zhou
Zhouhan Lin
GNN
37
3
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22 Feb 2024
CodeArt: Better Code Models by Attention Regularization When Symbols Are Lacking
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Xiangzhe Xu
Ziyang Huang
Zhuo Zhang
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Jianjun Huang
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40
8
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19 Feb 2024
Multi-Hierarchical Surrogate Learning for Structural Dynamical Crash Simulations Using Graph Convolutional Neural Networks
Jonas Kneifl
Jörg Fehr
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J. Nathan Kutz
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26
1
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14 Feb 2024
Graph Mamba: Towards Learning on Graphs with State Space Models
Ali Behrouz
Farnoosh Hashemi
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112
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13 Feb 2024
Homomorphism Counts for Graph Neural Networks: All About That Basis
Emily Jin
Michael M. Bronstein
.Ismail .Ilkan Ceylan
Matthias Lanzinger
26
11
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13 Feb 2024
Unsupervised Optimisation of GNNs for Node Clustering
Will Leeney
Ryan McConville
34
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0
12 Feb 2024
Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker Identification with PathFormer
Zehao Dong
Qihang Zhao
Philip R. O. Payne
Michael Province
C. Cruchaga
Muhan Zhang
Tianyu Zhao
Yixin Chen
Fuhai Li
AI4CE
21
6
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11 Feb 2024
CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs
Florian Grötschla
Joël Mathys
Robert Veres
Roger Wattenhofer
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3
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Similarity-based Neighbor Selection for Graph LLMs
Rui Li
Jiwei Li
Jiawei Han
Guoyin Wang
24
3
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Future Directions in the Theory of Graph Machine Learning
Christopher Morris
Fabrizio Frasca
Nadav Dym
Haggai Maron
.Ismail .Ilkan Ceylan
Ron Levie
Derek Lim
Michael M. Bronstein
Martin Grohe
Stefanie Jegelka
AI4CE
32
5
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03 Feb 2024
Topology-Informed Graph Transformer
Yuncheol Choi
Sun Woo Park
Minho Lee
Youngho Woo
36
3
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03 Feb 2024
Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces
Chloe X. Wang
Oleksii Tsepa
Jun Ma
Bo Wang
Mamba
30
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01 Feb 2024
Benchmarking Sensitivity of Continual Graph Learning for Skeleton-Based Action Recognition
Wei Wei
Tom De Schepper
Kevin Mets
29
2
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31 Jan 2024
Graph Transformers without Positional Encodings
Ayush Garg
27
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31 Jan 2024
Design Your Own Universe: A Physics-Informed Agnostic Method for Enhancing Graph Neural Networks
Dai Shi
Andi Han
Lequan Lin
Yi Guo
Zhiyong Wang
Junbin Gao
29
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26 Jan 2024
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs
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Gabriele Steidl
C. V. Tycowicz
GNN
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36
3
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25 Jan 2024
On The Temporal Domain of Differential Equation Inspired Graph Neural Networks
Moshe Eliasof
E. Haber
Eran Treister
Carola-Bibiane Schönlieb
AI4CE
27
2
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20 Jan 2024
Graph Language Models
Moritz Plenz
Anette Frank
KELM
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28
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13 Jan 2024
Graph Q-Learning for Combinatorial Optimization
Victoria M. Dax
Jiachen Li
Kevin Leahy
Mykel J. Kochenderfer
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30
2
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11 Jan 2024
Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks
Puja Trivedi
Mark Heimann
Rushil Anirudh
Danai Koutra
Jayaraman J. Thiagarajan
UQCV
29
4
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07 Jan 2024
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching
Federico Errica
Henrik Christiansen
Viktor Zaverkin
Takashi Maruyama
Mathias Niepert
Francesco Alesiani
57
7
0
27 Dec 2023
Stronger Graph Transformer with Regularized Attention Scores
Eugene Ku
27
1
0
18 Dec 2023
Graph Transformers for Large Graphs
Vijay Prakash Dwivedi
Yozen Liu
A. Luu
Xavier Bresson
Neil Shah
Tong Zhao
GNN
29
8
0
18 Dec 2023
Graph Neural Networks with Diverse Spectral Filtering
Jingwei Guo
Kaizhu Huang
Xinping Yi
Rui Zhang
67
12
0
14 Dec 2023
SE(3)-Invariant Multiparameter Persistent Homology for Chiral-Sensitive Molecular Property Prediction
Andac Demir
Francis Prael
B. Kiziltan
19
2
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12 Dec 2023
HyPE-GT: where Graph Transformers meet Hyperbolic Positional Encodings
Kushal Bose
Swagatam Das
30
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11 Dec 2023
Improving Subgraph-GNNs via Edge-Level Ego-Network Encodings
Nurudin Alvarez-Gonzalez
Andreas Kaltenbrunner
Vicencc Gómez
19
2
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10 Dec 2023
GFS: Graph-based Feature Synthesis for Prediction over Relational Databases
Han Zhang
Quan Gan
David Wipf
Weinan Zhang
23
6
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04 Dec 2023
The Self-Loop Paradox: Investigating the Impact of Self-Loops on Graph Neural Networks
Moritz Lampert
Ingo Scholtes
GNN
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25
4
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04 Dec 2023
Recurrent Distance Filtering for Graph Representation Learning
Yuhui Ding
Antonio Orvieto
Bobby He
Thomas Hofmann
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36
6
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03 Dec 2023
Improving embedding of graphs with missing data by soft manifolds
Andrea Marinoni
Pietro Lio
Alessandro Barp
Christian Jutten
Mark Girolami
21
0
0
29 Nov 2023
Over-Squashing in Riemannian Graph Neural Networks
Julia Balla
31
0
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27 Nov 2023
Effective Structural Encodings via Local Curvature Profiles
Lukas Fesser
Melanie Weber
33
3
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24 Nov 2023
Learning to Optimise Wind Farms with Graph Transformers
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Arnaud Robert
A. A. Faisal
M. Piggott
29
5
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21 Nov 2023
Content Augmented Graph Neural Networks
Fatemeh Gholamzadeh Nasrabadi
AmirHossein Kashani
Pegah Zahedi
M. H. Chehreghani
18
2
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AMES: A Differentiable Embedding Space Selection Framework for Latent Graph Inference
Yuan Lu
Haitz Sáez de Ocáriz Borde
Pietro Lio
25
2
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20 Nov 2023
Higher-Order Expander Graph Propagation
Thomas Christie
Yu He
27
3
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14 Nov 2023
Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges
Dai Shi
Andi Han
Lequan Lin
Yi Guo
Junbin Gao
47
12
0
13 Nov 2023
Multiscale Neural Operators for Solving Time-Independent PDEs
Winfried Ripken
Lisa Coiffard
Felix Pieper
Sebastian Dziadzio
AI4CE
24
2
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10 Nov 2023
Mixture of Weak & Strong Experts on Graphs
Hanqing Zeng
Hanjia Lyu
Diyi Hu
Yinglong Xia
Jiebo Luo
28
3
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09 Nov 2023
Hybrid Focal and Full-Range Attention Based Graph Transformers
Minhong Zhu
Zhenhao Zhao
Weiran Cai
32
0
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08 Nov 2023
Sparse Training of Discrete Diffusion Models for Graph Generation
Yiming Qin
Clément Vignac
Pascal Frossard
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12
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Sliced Denoising: A Physics-Informed Molecular Pre-Training Method
Yuyan Ni
Shikun Feng
Wei-Ying Ma
Zhiming Ma
Yanyan Lan
DiffM
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35
10
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03 Nov 2023
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