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Principal Neighbourhood Aggregation for Graph Nets
v1v2v3v4v5 (latest)

Principal Neighbourhood Aggregation for Graph Nets

12 April 2020
Gabriele Corso
Luca Cavalleri
Dominique Beaini
Pietro Lio
Petar Velickovic
    GNN
ArXiv (abs)PDFHTML

Papers citing "Principal Neighbourhood Aggregation for Graph Nets"

50 / 395 papers shown
Title
Rethinking the Power of Graph Canonization in Graph Representation
  Learning with Stability
Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability
Zehao Dong
Muhan Zhang
Philip R. O. Payne
Michael Province
C. Cruchaga
Tianyu Zhao
Fuhai Li
Yixin Chen
164
0
0
01 Sep 2023
Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark
Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark
Jan Tönshoff
Martin Ritzert
Eran Rosenbluth
Martin Grohe
173
68
0
01 Sep 2023
Staleness-Alleviated Distributed GNN Training via Online
  Dynamic-Embedding Prediction
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction
Guangji Bai
Ziyang Yu
Zheng Chai
Yue Cheng
Liang Zhao
GNN
125
3
0
25 Aug 2023
Will More Expressive Graph Neural Networks do Better on Generative
  Tasks?
Will More Expressive Graph Neural Networks do Better on Generative Tasks?
Xian-Quan Zou
Xiangyu Zhao
Pietro Lio
Yiren Zhao
92
3
0
23 Aug 2023
Enhancing Graph Transformers with Hierarchical Distance Structural
  Encoding
Enhancing Graph Transformers with Hierarchical Distance Structural Encoding
Yuan Luo
Hongkang Li
Lei Shi
Xiao-Ming Wu
173
12
0
22 Aug 2023
Investigating the Interplay between Features and Structures in Graph
  Learning
Investigating the Interplay between Features and Structures in Graph Learning
Daniele Castellana
Federico Errica
154
4
0
18 Aug 2023
Graph Out-of-Distribution Generalization with Controllable Data
  Augmentation
Graph Out-of-Distribution Generalization with Controllable Data Augmentation
Bin Lu
Xiaoying Gan
Ze Zhao
Shiyu Liang
Luoyi Fu
Xinbing Wang
Cheng Zhou
145
13
0
16 Aug 2023
Weisfeiler and Lehman Go Paths: Learning Topological Features via Path
  Complexes
Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes
Quang Truong
Peter Chin
GNN
212
10
0
13 Aug 2023
Explainable Equivariant Neural Networks for Particle Physics: PELICAN
Explainable Equivariant Neural Networks for Particle Physics: PELICAN
A. Bogatskiy
Timothy Hoffman
David W. Miller
Jan T. Offermann
Xiaoyang Liu
199
32
0
31 Jul 2023
Co-attention Graph Pooling for Efficient Pairwise Graph Interaction
  Learning
Co-attention Graph Pooling for Efficient Pairwise Graph Interaction Learning
Junhyun Lee
Bumsoo Kim
Minji Jeon
Jaewoo Kang
GNN
80
2
0
28 Jul 2023
Physically Plausible 3D Human-Scene Reconstruction from Monocular RGB
  Image using an Adversarial Learning Approach
Physically Plausible 3D Human-Scene Reconstruction from Monocular RGB Image using an Adversarial Learning Approach
S. Biswas
Kejie Li
Biplab Banerjee
S. Chaudhuri
Hamid Rezatofighi
3DH
149
3
0
27 Jul 2023
An Explainable Geometric-Weighted Graph Attention Network for
  Identifying Functional Networks Associated with Gait Impairment
An Explainable Geometric-Weighted Graph Attention Network for Identifying Functional Networks Associated with Gait Impairment
Favour Nerrise
Qingyu Zhao
K. Poston
K. Pohl
Ehsan Adeli
94
6
0
24 Jul 2023
From random-walks to graph-sprints: a low-latency node embedding
  framework on continuous-time dynamic graphs
From random-walks to graph-sprints: a low-latency node embedding framework on continuous-time dynamic graphs
Ahmad Naser Eddin
Jacopo Bono
David Oliveira Aparício
Hugo Ferreira
João Tiago Ascensão
Pedro Ribeiro
P. Bizarro
139
2
0
17 Jul 2023
Supervised Attention Using Homophily in Graph Neural Networks
Supervised Attention Using Homophily in Graph Neural Networks
Michail Chatzianastasis
Giannis Nikolentzos
Michalis Vazirgiannis
GNN
117
0
0
11 Jul 2023
Polynomial Width is Sufficient for Set Representation with
  High-dimensional Features
Polynomial Width is Sufficient for Set Representation with High-dimensional Features
Peihao Wang
Shenghao Yang
Shu Li
Zhangyang Wang
Pan Li
187
6
0
08 Jul 2023
PlanE: Representation Learning over Planar Graphs
PlanE: Representation Learning over Planar Graphs
Radoslav Dimitrov
Zeyang Zhao
Ralph Abboud
.Ismail .Ilkan Ceylan
GNN
150
3
0
03 Jul 2023
Beyond the Snapshot: Brain Tokenized Graph Transformer for Longitudinal
  Brain Functional Connectome Embedding
Beyond the Snapshot: Brain Tokenized Graph Transformer for Longitudinal Brain Functional Connectome Embedding
Zijian Dong
Yilei Wu
Yu Xiao
J. Chong
Yueming Jin
J. Zhou
MedIm
92
9
0
03 Jul 2023
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and
  Customized Hardware
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware
Shichang Zhang
Atefeh Sohrabizadeh
Cheng Wan
Zijie Huang
Ziniu Hu
Yewen Wang
Yingyan Lin
Lin
Jason Cong
Luke Huan
GNNAI4CE
133
28
0
24 Jun 2023
Generalised f-Mean Aggregation for Graph Neural Networks
Generalised f-Mean Aggregation for Graph Neural Networks
Ryan Kortvelesy
Steven D. Morad
Amanda Prorok
FedMLAI4CE
157
4
0
24 Jun 2023
Torsion Graph Neural Networks
Torsion Graph Neural Networks
Cong Shen
Xiang Liu
Jiawei Luo
Kelin Xia
91
1
0
23 Jun 2023
Realistic Synthetic Financial Transactions for Anti-Money Laundering
  Models
Realistic Synthetic Financial Transactions for Anti-Money Laundering Models
Erik Altman
Jovan Blanuvsa
Luc von Niederhäusern
Béni Egressy
Andreea Anghel
Kubilay Atasu
179
57
0
22 Jun 2023
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection
Jianheng Tang
Fengrui Hua
Zi-Chao Gao
P. Zhao
Jia Li
143
80
0
21 Jun 2023
Symmetry-Informed Geometric Representation for Molecules, Proteins, and
  Crystalline Materials
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials
Shengchao Liu
Weitao Du
Yanjing Li
Zhuoxinran Li
Zhiling Zheng
...
Anima Anandkumar
C. Borgs
J. Chayes
Hongyu Guo
Jian Tang
AI4CE
156
30
0
15 Jun 2023
Automated 3D Pre-Training for Molecular Property Prediction
Automated 3D Pre-Training for Molecular Property Prediction
Xu Wang
Huan Zhao
Weiwei Tu
Quanming Yao
AI4CE
153
43
0
13 Jun 2023
Neural Injective Functions for Multisets, Measures and Graphs via a
  Finite Witness Theorem
Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness Theorem
Tal Amir
S. Gortler
Ilai Avni
Ravi Ravina
Nadav Dym
214
28
0
10 Jun 2023
Path Neural Networks: Expressive and Accurate Graph Neural Networks
Path Neural Networks: Expressive and Accurate Graph Neural Networks
Gaspard Michel
Giannis Nikolentzos
J. Lutzeyer
Michalis Vazirgiannis
GNN
128
36
0
09 Jun 2023
DynamoRep: Trajectory-Based Population Dynamics for Classification of
  Black-box Optimization Problems
DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems
Gjorgjina Cenikj
G. Petelin
Carola Doerr
Peter Korošec
T. Eftimov
98
11
0
08 Jun 2023
CIN++: Enhancing Topological Message Passing
CIN++: Enhancing Topological Message Passing
Lorenzo Giusti
Teodora Reu
Francesco Ceccarelli
Cristian Bodnar
Pietro Lio
GNN
134
11
0
06 Jun 2023
GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction
GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction
Amit Roy
Juan Shu
Jia Li
Carl Yang
Olivier Elshocht
Jeroen Smeets
P. Li
265
71
0
02 Jun 2023
Joint Learning of Label and Environment Causal Independence for Graph
  Out-of-Distribution Generalization
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization
Shurui Gui
Meng Liu
Xiner Li
Youzhi Luo
Shuiwang Ji
CMLOOD
212
33
0
01 Jun 2023
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining
Shengchao Liu
Weitao Du
Zhiming Ma
Hongyu Guo
Jian Tang
182
38
0
28 May 2023
Graph Inductive Biases in Transformers without Message Passing
Graph Inductive Biases in Transformers without Message Passing
Liheng Ma
Chen Lin
Derek Lim
Adriana Romero Soriano
P. Dokania
Mark Coates
Juil Sock
Ser-Nam Lim
AI4CE
157
129
0
27 May 2023
Geometric deep learning approach to knot theory
Geometric deep learning approach to knot theory
Lennart Jaretzki
AI4CE
60
1
0
26 May 2023
On Structural Expressive Power of Graph Transformers
On Structural Expressive Power of Graph Transformers
Wenhao Zhu
Tianyu Wen
Guojie Song
Liangji Wang
Bo Zheng
91
18
0
23 May 2023
Metrics Matter in Surgical Phase Recognition
Metrics Matter in Surgical Phase Recognition
Isabel Funke
Dominik Rivoir
Stefanie Speidel
78
12
0
23 May 2023
Graph Propagation Transformer for Graph Representation Learning
Graph Propagation Transformer for Graph Representation Learning
Zhe Chen
Hao Hao Tan
Tao Wang
Tianrun Shen
Tong Lu
Qiuying Peng
Cheng Cheng
Yue Qi
119
14
0
19 May 2023
Edge Directionality Improves Learning on Heterophilic Graphs
Edge Directionality Improves Learning on Heterophilic Graphs
Emanuele Rossi
Bertrand Charpentier
Francesco Di Giovanni
Fabrizio Frasca
Stephan Günnemann
Michael M. Bronstein
190
83
0
17 May 2023
River of No Return: Graph Percolation Embeddings for Efficient Knowledge
  Graph Reasoning
River of No Return: Graph Percolation Embeddings for Efficient Knowledge Graph Reasoning
Kai Wang
Siqiang Luo
Dan Lin
103
4
0
17 May 2023
Towards Better Graph Representation Learning with Parameterized
  Decomposition & Filtering
Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering
Mingqi Yang
Wenjie Feng
Yanming Shen
Bryan Hooi
179
5
0
10 May 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
98
18
0
08 May 2023
HiPool: Modeling Long Documents Using Graph Neural Networks
HiPool: Modeling Long Documents Using Graph Neural Networks
Irene Li
Aosong Feng
Dragomir R. Radev
Rex Ying
79
5
0
05 May 2023
Deep Graph Reprogramming
Deep Graph Reprogramming
Yongcheng Jing
Chongbin Yuan
Li Ju
Yiding Yang
Xinchao Wang
Dacheng Tao
181
40
0
28 Apr 2023
Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning
Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning
Hao Dong
Zhiyuan Ning
Pengyang Wang
Ziyue Qiao
P. Wang
Yuanchun Zhou
Yanjie Fu
90
19
0
25 Apr 2023
Self-Attention in Colors: Another Take on Encoding Graph Structure in
  Transformers
Self-Attention in Colors: Another Take on Encoding Graph Structure in Transformers
Romain Menegaux
Emmanuel Jehanno
Margot Selosse
Julien Mairal
108
8
0
21 Apr 2023
Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs
Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs
Matthieu Cordonnier
Nicolas Keriven
Nicolas M Tremblay
Samuel Vaiter
GNN
285
9
0
21 Apr 2023
Solving the Kidney-Exchange Problem via Graph Neural Networks with No
  Supervision
Solving the Kidney-Exchange Problem via Graph Neural Networks with No Supervision
P. F. Pimenta
Pedro H. C. Avelar
Luís C. Lamb
73
23
0
19 Apr 2023
ProGAP: Progressive Graph Neural Networks with Differential Privacy
  Guarantees
ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees
Sina Sajadmanesh
D. Gática-Pérez
165
19
0
18 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju
Zheng Fang
Yiyang Gu
Zequn Liu
Qingqing Long
...
Jingyang Yuan
Yusheng Zhao
Yifan Wang
Xiao Luo
Ming Zhang
GNNAI4TS
326
193
0
11 Apr 2023
Generating a Graph Colouring Heuristic with Deep Q-Learning and Graph
  Neural Networks
Generating a Graph Colouring Heuristic with Deep Q-Learning and Graph Neural Networks
George Watkins
Giovanni Montana
Juergen Branke
GNN
78
5
0
08 Apr 2023
GNNBuilder: An Automated Framework for Generic Graph Neural Network
  Accelerator Generation, Simulation, and Optimization
GNNBuilder: An Automated Framework for Generic Graph Neural Network Accelerator Generation, Simulation, and Optimization
Stefan Abi-Karam
Cong Hao
GNN
142
8
0
29 Mar 2023
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