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How Powerful are K-hop Message Passing Graph Neural Networks

How Powerful are K-hop Message Passing Graph Neural Networks

26 May 2022
Jiarui Feng
Yixin Chen
Fuhai Li
Anindya Sarkar
Muhan Zhang
ArXivPDFHTML

Papers citing "How Powerful are K-hop Message Passing Graph Neural Networks"

17 / 17 papers shown
Title
Enhancing Graph Representation Learning with Localized Topological Features
Enhancing Graph Representation Learning with Localized Topological Features
Zuoyu Yan
Qi Zhao
Ze Ye
Tengfei Ma
Liangcai Gao
Zhi Tang
Yusu Wang
Chao Chen
47
0
0
17 Jan 2025
Optimality of Message-Passing Architectures for Sparse Graphs
Optimality of Message-Passing Architectures for Sparse Graphs
Aseem Baranwal
K. Fountoulakis
Aukosh Jagannath
73
11
0
10 Jan 2025
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling
Lecheng Kong
Jiarui Feng
Hao Liu
Chengsong Huang
Jiaxin Huang
Yixin Chen
Muhan Zhang
AI4CE
77
6
0
12 Jul 2024
CiliaGraph: Enabling Expression-enhanced Hyper-Dimensional Computation
  in Ultra-Lightweight and One-Shot Graph Classification on Edge
CiliaGraph: Enabling Expression-enhanced Hyper-Dimensional Computation in Ultra-Lightweight and One-Shot Graph Classification on Edge
Yuxi Han
Jihe Wang
Danghui Wang
44
1
0
29 May 2024
Graph as Point Set
Graph as Point Set
Xiyuan Wang
Pan Li
Muhan Zhang
GNN
3DPC
PINN
35
4
0
05 May 2024
The Expressive Power of Graph Neural Networks: A Survey
The Expressive Power of Graph Neural Networks: A Survey
Bingxue Zhang
Changjun Fan
Shixuan Liu
Kuihua Huang
Xiang Zhao
Jin-Yu Huang
Zhong Liu
40
19
0
16 Aug 2023
From Relational Pooling to Subgraph GNNs: A Universal Framework for More
  Expressive Graph Neural Networks
From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks
Cai Zhou
Xiyuan Wang
Muhan Zhang
26
14
0
08 May 2023
Understanding and Improving Deep Graph Neural Networks: A Probabilistic
  Graphical Model Perspective
Understanding and Improving Deep Graph Neural Networks: A Probabilistic Graphical Model Perspective
Jiayuan Chen
Xiang Zhang
Yinfei Xu
Tianli Zhao
Renjie Xie
Wei Xu
GNN
BDL
21
0
0
25 Jan 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
Boosting the Cycle Counting Power of Graph Neural Networks with
  I$^2$-GNNs
Boosting the Cycle Counting Power of Graph Neural Networks with I2^22-GNNs
Yinan Huang
Xingang Peng
Jianzhu Ma
Muhan Zhang
76
46
0
22 Oct 2022
How Powerful are Spectral Graph Neural Networks
How Powerful are Spectral Graph Neural Networks
Xiyuan Wang
Muhan Zhang
70
178
0
23 May 2022
Reconstruction for Powerful Graph Representations
Reconstruction for Powerful Graph Representations
Leonardo Cotta
Christopher Morris
Bruno Ribeiro
AI4CE
122
78
0
01 Oct 2021
The expressive power of kth-order invariant graph networks
The expressive power of kth-order invariant graph networks
Floris Geerts
123
37
0
23 Jul 2020
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
183
913
0
02 Mar 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
229
1,935
0
09 Jun 2018
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
159
1,766
0
02 Mar 2017
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
214
7,915
0
17 Aug 2015
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