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Probabilistic Graph Rewiring via Virtual Nodes

Probabilistic Graph Rewiring via Virtual Nodes

27 May 2024
Chendi Qian
Andrei Manolache
Christopher Morris
Mathias Niepert
    AI4CE
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Papers citing "Probabilistic Graph Rewiring via Virtual Nodes"

11 / 11 papers shown
Title
Next Level Message-Passing with Hierarchical Support Graphs
Next Level Message-Passing with Hierarchical Support Graphs
Carlos Vonessen
Florian Grötschla
Roger Wattenhofer
20
1
0
22 Jun 2024
UGSL: A Unified Framework for Benchmarking Graph Structure Learning
UGSL: A Unified Framework for Benchmarking Graph Structure Learning
Bahare Fatemi
Sami Abu-El-Haija
Anton Tsitsulin
Seyed Mehran Kazemi
Dustin Zelle
Neslihan Bulut
Jonathan J. Halcrow
Bryan Perozzi
40
9
0
21 Aug 2023
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning
Zhiyao Zhou
Sheng Zhou
Bochao Mao
Xu Zhou
Jiawei Chen
Qiaoyu Tan
Daochen Zha
Yan Feng
Chun-Yen Chen
C. Wang
25
20
0
17 Jun 2023
Expander Graph Propagation
Expander Graph Propagation
Andreea Deac
Marc Lackenby
Petar Velivcković
90
41
0
06 Oct 2022
Cell Attention Networks
Cell Attention Networks
Lorenzo Giusti
Claudio Battiloro
Lucia Testa
P. Lorenzo
S. Sardellitti
Sergio Barbarossa
3DPC
GNN
95
32
0
16 Sep 2022
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent
  Variable Models
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models
Pasquale Minervini
Luca Franceschi
Mathias Niepert
25
8
0
11 Sep 2022
Graph Neural Networks with Learnable Structural and Positional
  Representations
Graph Neural Networks with Learnable Structural and Positional Representations
Vijay Prakash Dwivedi
A. Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
GNN
179
304
0
15 Oct 2021
Coarse Graining Molecular Dynamics with Graph Neural Networks
Coarse Graining Molecular Dynamics with Graph Neural Networks
B. Husic
N. Charron
Dominik Lemm
Jiang Wang
Adria Pérez
...
Yaoyi Chen
Simon Olsson
Gianni de Fabritiis
Frank Noé
C. Clementi
AI4CE
24
156
0
22 Jul 2020
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
217
1,726
0
09 Jun 2018
Convolutional Neural Network Architectures for Signals Supported on
  Graphs
Convolutional Neural Network Architectures for Signals Supported on Graphs
Fernando Gama
A. Marques
G. Leus
Alejandro Ribeiro
108
284
0
01 May 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
231
1,801
0
25 Nov 2016
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