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DiffWire: Inductive Graph Rewiring via the Lovász Bound

DiffWire: Inductive Graph Rewiring via the Lovász Bound

15 June 2022
Adrián Arnaiz-Rodríguez
Ahmed Begga
Francisco Escolano
Nuria Oliver
ArXivPDFHTML

Papers citing "DiffWire: Inductive Graph Rewiring via the Lovász Bound"

47 / 47 papers shown
Title
Learning Laplacian Positional Encodings for Heterophilous Graphs
Learning Laplacian Positional Encodings for Heterophilous Graphs
Michael Ito
Jiong Zhu
Dexiong Chen
Danai Koutra
Jenna Wiens
76
1
0
29 Apr 2025
Performance Heterogeneity in Graph Neural Networks: Lessons for Architecture Design and Preprocessing
Lukas Fesser
Melanie Weber
30
0
0
01 Mar 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
51
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
78
1
0
10 Feb 2025
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
59
1
0
26 Nov 2024
Deep Equilibrium Algorithmic Reasoning
Deep Equilibrium Algorithmic Reasoning
Dobrik Georgiev
JJ Wilson
Davide Buffelli
Pietro Lio'
19
0
0
19 Oct 2024
Cayley Graph Propagation
Cayley Graph Propagation
JJ Wilson
Maya Bechler-Speicher
Petar Veličković
19
4
0
04 Oct 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
23
2
0
15 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
17
1
0
22 Aug 2024
Scalable Graph Compressed Convolutions
Scalable Graph Compressed Convolutions
Junshu Sun
Chen Yang
Shuhui Wang
Qingming Huang
GNN
25
0
0
26 Jul 2024
Commute-Time-Optimised Graphs for GNNs
Commute-Time-Optimised Graphs for GNNs
Igor Sterner
Shiye Su
Petar Velickovic
27
2
0
09 Jul 2024
Graph Pooling via Ricci Flow
Graph Pooling via Ricci Flow
Amy Feng
Melanie Weber
AI4CE
15
1
0
05 Jul 2024
Foundations and Frontiers of Graph Learning Theory
Foundations and Frontiers of Graph Learning Theory
Yu Huang
Min Zhou
Menglin Yang
Zhen Wang
Muhan Zhang
Jie Wang
Hong Xie
Hao Wang
Defu Lian
Enhong Chen
AI4CE
GNN
43
2
0
03 Jul 2024
Next Level Message-Passing with Hierarchical Support Graphs
Next Level Message-Passing with Hierarchical Support Graphs
Carlos Vonessen
Florian Grötschla
Roger Wattenhofer
28
1
0
22 Jun 2024
On the Expressive Power of Spectral Invariant Graph Neural Networks
On the Expressive Power of Spectral Invariant Graph Neural Networks
Bohang Zhang
Lingxiao Zhao
Haggai Maron
24
8
0
06 Jun 2024
PANDA: Expanded Width-Aware Message Passing Beyond Rewiring
PANDA: Expanded Width-Aware Message Passing Beyond Rewiring
Jeongwhan Choi
Sumin Park
Hyowon Wi
Sung-Bae Cho
Noseong Park
GNN
23
2
0
06 Jun 2024
Probabilistic Graph Rewiring via Virtual Nodes
Probabilistic Graph Rewiring via Virtual Nodes
Chendi Qian
Andrei Manolache
Christopher Morris
Mathias Niepert
AI4CE
28
1
0
27 May 2024
Differentiable Cluster Graph Neural Network
Differentiable Cluster Graph Neural Network
Yanfei Dong
Mohammed Haroon Dupty
Lambert Deng
Zhuanghua Liu
Yong Liang Goh
Wee Sun Lee
GNN
19
1
0
25 May 2024
Understanding Virtual Nodes: Oversquashing and Node Heterogeneity
Understanding Virtual Nodes: Oversquashing and Node Heterogeneity
Joshua Southern
Francesco Di Giovanni
Michael M. Bronstein
J. Lutzeyer
44
1
0
22 May 2024
Conditional Shift-Robust Conformal Prediction for Graph Neural Network
Conditional Shift-Robust Conformal Prediction for Graph Neural Network
Akansha Agrawal
UQCV
43
1
0
20 May 2024
A Comprehensive Survey on Data Augmentation
A Comprehensive Survey on Data Augmentation
Zaitian Wang
Pengfei Wang
Kunpeng Liu
Pengyang Wang
Yanjie Fu
Chang-Tien Lu
Charu Aggarwal
Jian Pei
Yuanchun Zhou
ViT
85
18
0
15 May 2024
CKGConv: General Graph Convolution with Continuous Kernels
CKGConv: General Graph Convolution with Continuous Kernels
Liheng Ma
Soumyasundar Pal
Yitian Zhang
Jiaming Zhou
Yingxue Zhang
Mark J. Coates
29
3
0
21 Apr 2024
Spectral Graph Pruning Against Over-Squashing and Over-Smoothing
Spectral Graph Pruning Against Over-Squashing and Over-Smoothing
Adarsh Jamadandi
Celia Rubio-Madrigal
R. Burkholz
28
1
0
06 Apr 2024
Graph Unitary Message Passing
Graph Unitary Message Passing
Haiquan Qiu
Yatao Bian
Quanming Yao
21
2
0
17 Mar 2024
Representation Learning on Heterophilic Graph with Directional
  Neighborhood Attention
Representation Learning on Heterophilic Graph with Directional Neighborhood Attention
Qincheng Lu
Jiaqi Zhu
Sitao Luan
Xiaomeng Chang
24
5
0
03 Mar 2024
Graph Mamba: Towards Learning on Graphs with State Space Models
Graph Mamba: Towards Learning on Graphs with State Space Models
Ali Behrouz
Farnoosh Hashemi
AI4CE
86
57
0
13 Feb 2024
The Graph Lottery Ticket Hypothesis: Finding Sparse, Informative Graph
  Structure
The Graph Lottery Ticket Hypothesis: Finding Sparse, Informative Graph Structure
Anton Tsitsulin
Bryan Perozzi
11
5
0
08 Dec 2023
Over-Squashing in Riemannian Graph Neural Networks
Over-Squashing in Riemannian Graph Neural Networks
Julia Balla
8
0
0
27 Nov 2023
Higher-Order Expander Graph Propagation
Higher-Order Expander Graph Propagation
Thomas Christie
Yu He
6
3
0
14 Nov 2023
Exposition on over-squashing problem on GNNs: Current Methods,
  Benchmarks and Challenges
Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges
Dai Shi
Andi Han
Lequan Lin
Yi Guo
Junbin Gao
39
11
0
13 Nov 2023
Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries
Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries
Haitz Sáez de Ocáriz Borde
Anastasis Kratsios
11
4
0
23 Oct 2023
Locality-Aware Graph-Rewiring in GNNs
Locality-Aware Graph-Rewiring in GNNs
Federico Barbero
A. Velingker
Amin Saberi
Michael M. Bronstein
Francesco Di Giovanni
20
27
0
02 Oct 2023
Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters
Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters
Ahmed Begga
Francisco Escolano
M. Lozano
Edwin R. Hancock
8
2
0
29 Jun 2023
P-tensors: a General Formalism for Constructing Higher Order Message
  Passing Networks
P-tensors: a General Formalism for Constructing Higher Order Message Passing Networks
Tianyi Sun
Andrew R. Hands
Risi Kondor
8
2
0
19 Jun 2023
Permutation Equivariant Graph Framelets for Heterophilous Graph Learning
Permutation Equivariant Graph Framelets for Heterophilous Graph Learning
Jianfei Li
Ruigang Zheng
Han Feng
Ming Li
Xiaosheng Zhuang
28
49
0
07 Jun 2023
BeMap: Balanced Message Passing for Fair Graph Neural Network
BeMap: Balanced Message Passing for Fair Graph Neural Network
Xiao Lin
Jian Kang
Weilin Cong
Hanghang Tong
MoE
32
1
0
07 Jun 2023
How does over-squashing affect the power of GNNs?
How does over-squashing affect the power of GNNs?
Francesco Di Giovanni
T. Konstantin Rusch
Michael M. Bronstein
Andreea Deac
Marc Lackenby
Siddhartha Mishra
Petar Velivcković
13
33
0
06 Jun 2023
Is Rewiring Actually Helpful in Graph Neural Networks?
Is Rewiring Actually Helpful in Graph Neural Networks?
Domenico Tortorella
A. Micheli
AI4CE
25
2
0
31 May 2023
DRew: Dynamically Rewired Message Passing with Delay
DRew: Dynamically Rewired Message Passing with Delay
Benjamin Gutteridge
Xiaowen Dong
Michael M. Bronstein
Francesco Di Giovanni
14
39
0
13 May 2023
Feudal Graph Reinforcement Learning
Feudal Graph Reinforcement Learning
Tommaso Marzi
Arshjot Khehra
Andrea Cini
C. Alippi
16
0
0
11 Apr 2023
Understanding Oversquashing in GNNs through the Lens of Effective
  Resistance
Understanding Oversquashing in GNNs through the Lens of Effective Resistance
Mitchell Black
Zhengchao Wan
A. Nayyeri
Yusu Wang
17
63
0
14 Feb 2023
On Over-Squashing in Message Passing Neural Networks: The Impact of
  Width, Depth, and Topology
On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology
Francesco Di Giovanni
Lorenzo Giusti
Federico Barbero
Giulia Luise
Pietro Lio'
Michael M. Bronstein
31
108
0
06 Feb 2023
A Generalization of ViT/MLP-Mixer to Graphs
A Generalization of ViT/MLP-Mixer to Graphs
Xiaoxin He
Bryan Hooi
T. Laurent
Adam Perold
Yann LeCun
Xavier Bresson
22
88
0
27 Dec 2022
FoSR: First-order spectral rewiring for addressing oversquashing in GNNs
FoSR: First-order spectral rewiring for addressing oversquashing in GNNs
Kedar Karhadkar
P. Banerjee
Guido Montúfar
18
55
0
21 Oct 2022
Affinity-Aware Graph Networks
Affinity-Aware Graph Networks
A. Velingker
A. Sinop
Ira Ktena
Petar Velickovic
Sreenivas Gollapudi
GNN
46
15
0
23 Jun 2022
Message passing all the way up
Message passing all the way up
Petar Velickovic
106
63
0
22 Feb 2022
An Impossibility Theorem for Node Embedding
An Impossibility Theorem for Node Embedding
T. Roddenberry
Yu Zhu
Santiago Segarra
15
0
0
27 May 2021
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