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On the Connection Between MPNN and Graph Transformer

On the Connection Between MPNN and Graph Transformer

27 January 2023
Chen Cai
Truong Son-Hy
Rose Yu
Yusu Wang
ArXivPDFHTML

Papers citing "On the Connection Between MPNN and Graph Transformer"

37 / 37 papers shown
Title
Neural Approaches to SAT Solving: Design Choices and Interpretability
Neural Approaches to SAT Solving: Design Choices and Interpretability
David Mojžíšek
Jan Hůla
Ziwei Li
Ziyu Zhou
Mikoláš Janota
AAML
NAI
31
0
0
01 Apr 2025
A Survey of Graph Transformers: Architectures, Theories and Applications
A Survey of Graph Transformers: Architectures, Theories and Applications
Chaohao Yuan
Kangfei Zhao
Ercan Engin Kuruoglu
Liang Wang
Tingyang Xu
Wenbing Huang
Deli Zhao
Hong Cheng
Yu Rong
57
4
0
23 Feb 2025
MOB-GCN: A Novel Multiscale Object-Based Graph Neural Network for Hyperspectral Image Classification
MOB-GCN: A Novel Multiscale Object-Based Graph Neural Network for Hyperspectral Image Classification
Tuan-Anh Yang
Truong-Son Hy
Phuong D. Dao
41
0
0
22 Feb 2025
CL-MFAP: A Contrastive Learning-Based Multimodal Foundation Model for Molecular Property Prediction and Antibiotic Screening
CL-MFAP: A Contrastive Learning-Based Multimodal Foundation Model for Molecular Property Prediction and Antibiotic Screening
Gen Zhou
Sugitha Janarthanan
Yutong Lu
Pingzhao Hu
45
0
0
16 Feb 2025
TESGNN: Temporal Equivariant Scene Graph Neural Networks for Efficient and Robust Multi-View 3D Scene Understanding
TESGNN: Temporal Equivariant Scene Graph Neural Networks for Efficient and Robust Multi-View 3D Scene Understanding
Quang P.M. Pham
Khoi T.N. Nguyen
Lan C. Ngo
Dezhen Song
Truong Do
Truong Son-Hy
3DPC
34
2
0
15 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
Deep Equilibrium Algorithmic Reasoning
Deep Equilibrium Algorithmic Reasoning
Dobrik Georgiev
JJ Wilson
Davide Buffelli
Pietro Lio'
31
0
0
19 Oct 2024
Range-aware Positional Encoding via High-order Pretraining: Theory and
  Practice
Range-aware Positional Encoding via High-order Pretraining: Theory and Practice
Viet Anh Nguyen
Nhat-Khang Ngô
Truong Son-Hy
AI4CE
27
0
0
27 Sep 2024
Sampling Foundational Transformer: A Theoretical Perspective
Sampling Foundational Transformer: A Theoretical Perspective
Viet Anh Nguyen
Minh Lenhat
Khoa Nguyen
Duong Duc Hieu
Dao Huu Hung
Truong Son-Hy
44
0
0
11 Aug 2024
SAMSA: Efficient Transformer for Many Data Modalities
SAMSA: Efficient Transformer for Many Data Modalities
Minh Lenhat
Viet Anh Nguyen
Khoa Nguyen
Duong Duc Hieu
Dao Huu Hung
Truong Son-Hy
49
0
0
10 Aug 2024
wav2graph: A Framework for Supervised Learning Knowledge Graph from
  Speech
wav2graph: A Framework for Supervised Learning Knowledge Graph from Speech
Khai Le-Duc
Quy-Anh Dang
Tan-Hanh Pham
Truong Son-Hy
32
0
0
08 Aug 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
55
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
44
1
0
22 Jun 2024
Text-space Graph Foundation Models: Comprehensive Benchmarks and New
  Insights
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
Zhikai Chen
Haitao Mao
Jingzhe Liu
Yu Song
Bingheng Li
...
Bahare Fatemi
Anton Tsitsulin
Bryan Perozzi
Hui Liu
Jiliang Tang
33
9
0
15 Jun 2024
Spatio-Spectral Graph Neural Networks
Spatio-Spectral Graph Neural Networks
Simon Geisler
Arthur Kosmala
Daniel Herbst
Stephan Günnemann
47
8
0
29 May 2024
Probabilistic Graph Rewiring via Virtual Nodes
Probabilistic Graph Rewiring via Virtual Nodes
Chendi Qian
Andrei Manolache
Christopher Morris
Mathias Niepert
AI4CE
38
3
0
27 May 2024
Analysis of Atom-level pretraining with Quantum Mechanics (QM) data for
  Graph Neural Networks Molecular property models
Analysis of Atom-level pretraining with Quantum Mechanics (QM) data for Graph Neural Networks Molecular property models
Jose A. Arjona-Medina
Ramil I. Nugmanov
AI4CE
37
1
0
23 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
57
1
0
22 May 2024
Distinguished In Uniform: Self Attention Vs. Virtual Nodes
Distinguished In Uniform: Self Attention Vs. Virtual Nodes
Eran Rosenbluth
Jan Tonshoff
Martin Ritzert
Berke Kisin
Martin Grohe
23
12
0
20 May 2024
Discrete-state Continuous-time Diffusion for Graph Generation
Discrete-state Continuous-time Diffusion for Graph Generation
Zhe Xu
Ruizhong Qiu
Yuzhong Chen
Huiyuan Chen
Xiran Fan
Menghai Pan
Zhichen Zeng
Mahashweta Das
Hanghang Tong
43
10
0
19 May 2024
VN-EGNN: E(3)-Equivariant Graph Neural Networks with Virtual Nodes
  Enhance Protein Binding Site Identification
VN-EGNN: E(3)-Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification
Florian Sestak
Lisa Schneckenreiter
Johannes Brandstetter
Sepp Hochreiter
Andreas Mayr
G. Klambauer
31
7
0
10 Apr 2024
On the Theoretical Expressive Power and the Design Space of Higher-Order
  Graph Transformers
On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers
Cai Zhou
Rose Yu
Yusu Wang
41
7
0
04 Apr 2024
DE-HNN: An effective neural model for Circuit Netlist representation
DE-HNN: An effective neural model for Circuit Netlist representation
Zhishang Luo
Truong Son-Hy
Puoya Tabaghi
Donghyeon Koh
Michael Defferrard
Elahe Rezaei
Ryan Carey
William Rhett Davis
Rajeev Jain
Yusu Wang
16
5
0
30 Mar 2024
E(3)-Equivariant Mesh Neural Networks
E(3)-Equivariant Mesh Neural Networks
Thuan Trang
Nhat-Khang Ngô
Daniel Levy
Thieu N. Vo
Siamak Ravanbakhsh
Truong Son-Hy
MDE
45
3
0
07 Feb 2024
Pard: Permutation-Invariant Autoregressive Diffusion for Graph
  Generation
Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation
Lingxiao Zhao
Xueying Ding
L. Akoglu
DiffM
23
8
0
06 Feb 2024
Future Directions in the Theory of Graph Machine Learning
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
30
5
0
03 Feb 2024
Graph Transformers for Large Graphs
Graph Transformers for Large Graphs
Vijay Prakash Dwivedi
Yozen Liu
A. Luu
Xavier Bresson
Neil Shah
Tong Zhao
GNN
21
8
0
18 Dec 2023
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs
  through Efficient Communication Channel
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel
Xuan Li
Zhanke Zhou
Jiangchao Yao
Yu Rong
Lu Zhang
Bo Han
37
3
0
02 Nov 2023
Non-backtracking Graph Neural Networks
Non-backtracking Graph Neural Networks
Seonghyun Park
Narae Ryu
Ga-Rin Kim
Dongyeop Woo
Se-Young Yun
Sungsoo Ahn
35
4
0
11 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
37
27
0
02 Oct 2023
Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark
Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark
Jan Tonshoff
Martin Ritzert
Eran Rosenbluth
Martin Grohe
24
47
0
01 Sep 2023
Target-aware Variational Auto-encoders for Ligand Generation with
  Multimodal Protein Representation Learning
Target-aware Variational Auto-encoders for Ligand Generation with Multimodal Protein Representation Learning
Haoxiang Luo
Gang Sun
37
2
0
02 Aug 2023
A Survey on Graph Neural Networks for Time Series: Forecasting,
  Classification, Imputation, and Anomaly Detection
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
Ming Jin
Huan Yee Koh
Qingsong Wen
Daniele Zambon
Cesare Alippi
G. I. Webb
Irwin King
Shirui Pan
AI4TS
AI4CE
41
143
0
07 Jul 2023
Attending to Graph Transformers
Attending to Graph Transformers
Luis Muller
Mikhail Galkin
Christopher Morris
Ladislav Rampášek
49
86
0
08 Feb 2023
Memory-Augmented Graph Neural Networks: A Brain-Inspired Review
Memory-Augmented Graph Neural Networks: A Brain-Inspired Review
Guixiang Ma
Vy A. Vo
Ted Willke
Nesreen Ahmed
32
1
0
22 Sep 2022
GRPE: Relative Positional Encoding for Graph Transformer
GRPE: Relative Positional Encoding for Graph Transformer
Wonpyo Park
Woonggi Chang
Donggeon Lee
Juntae Kim
Seung-won Hwang
41
74
0
30 Jan 2022
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,103
0
02 Dec 2016
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