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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
GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural
  Networks
GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks
Lisa Schneckenreiter
Richard Freinschlag
Florian Sestak
Johannes Brandstetter
Günter Klambauer
Andreas Mayr
128
5
0
07 Mar 2024
Self-Attention Empowered Graph Convolutional Network for Structure
  Learning and Node Embedding
Self-Attention Empowered Graph Convolutional Network for Structure Learning and Node Embedding
Mengying Jiang
Guizhong Liu
Yuanchao Su
Xinliang Wu
GNNSSL
162
9
0
06 Mar 2024
Graph Theory and GNNs to Unravel the Topographical Organization of Brain
  Lesions in Variants of Alzheimer's Disease Progression
Graph Theory and GNNs to Unravel the Topographical Organization of Brain Lesions in Variants of Alzheimer's Disease Progression
Gabriel Jimenez
Leopold Hebert-Stevens
Benoît Delatour
L. Stimmer
Daniel Racoceanu
59
1
0
01 Mar 2024
Graph Feature Preprocessor: Real-time Extraction of Subgraph-based
  Features from Transaction Graphs
Graph Feature Preprocessor: Real-time Extraction of Subgraph-based Features from Transaction Graphs
Jovan Blanusa
Maximo Cravero Baraja
Andreea Anghel
Luc von Niederhäusern
Erik Altman
Haris Pozidis
Kubilay Atasu
544
4
0
13 Feb 2024
Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph
  Products
Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products
Guy Bar-Shalom
Beatrice Bevilacqua
Haggai Maron
AI4CE
154
7
0
13 Feb 2024
GSINA: Improving Subgraph Extraction for Graph Invariant Learning via
  Graph Sinkhorn Attention
GSINA: Improving Subgraph Extraction for Graph Invariant Learning via Graph Sinkhorn Attention
Fangyu Ding
Haiyang Wang
Zhixuan Chu
Tianming Li
Zhaoping Hu
Junchi Yan
AI4CE
81
1
0
11 Feb 2024
PAC Learnability under Explanation-Preserving Graph Perturbations
PAC Learnability under Explanation-Preserving Graph Perturbations
Xu Zheng
Farhad Shirani
Tianchun Wang
Shouwei Gao
Wenqian Dong
Wei Cheng
Dongsheng Luo
100
0
0
07 Feb 2024
Triplet Interaction Improves Graph Transformers: Accurate Molecular
  Graph Learning with Triplet Graph Transformers
Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers
Md Shamim Hussain
Mohammed J Zaki
D. Subramanian
ViT
182
10
0
07 Feb 2024
Improved Generalization of Weight Space Networks via Augmentations
Improved Generalization of Weight Space Networks via Augmentations
Aviv Shamsian
Aviv Navon
David W. Zhang
Yan Zhang
Ethan Fetaya
Gal Chechik
Haggai Maron
142
15
0
06 Feb 2024
Topology-Informed Graph Transformer
Topology-Informed Graph Transformer
Yuncheol Choi
Sun Woo Park
Minho Lee
Youngho Woo
119
9
0
03 Feb 2024
Graph Transformers without Positional Encodings
Graph Transformers without Positional Encodings
Ayush Garg
183
1
0
31 Jan 2024
PF-GNN: Differentiable particle filtering based approximation of
  universal graph representations
PF-GNN: Differentiable particle filtering based approximation of universal graph representations
Mohammed Haroon Dupty
Yanfei Dong
W. Lee
119
14
0
31 Jan 2024
Learning to Stop Cut Generation for Efficient Mixed-Integer Linear
  Programming
Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming
Haotian Ling
Zhihai Wang
Jie Wang
138
7
0
31 Jan 2024
Unsupervised Discovery of Steerable Factors When Graph Deep Generative
  Models Are Entangled
Unsupervised Discovery of Steerable Factors When Graph Deep Generative Models Are Entangled
Shengchao Liu
Chengpeng Wang
Jiarui Lu
Weili Nie
Hanchen Wang
Zhuoxinran Li
Bolei Zhou
Jian Tang
146
3
0
29 Jan 2024
Learning Dynamics from Multicellular Graphs with Deep Neural Networks
Learning Dynamics from Multicellular Graphs with Deep Neural Networks
Haiqian Yang
Florian Meyer
Shaoxun Huang
Liu Yang
C. Lungu
Monilola A. Olayioye
Markus J. Buehler
Ming Guo
AI4CE
26
3
0
22 Jan 2024
Hierarchical Source-to-Post-Route QoR Prediction in High-Level Synthesis
  with GNNs
Hierarchical Source-to-Post-Route QoR Prediction in High-Level Synthesis with GNNs
Mingzhe Gao
Jieru Zhao
Zhe Lin
Minyi Guo
55
7
0
14 Jan 2024
Accurate and Scalable Estimation of Epistemic Uncertainty for Graph
  Neural Networks
Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks
Puja Trivedi
Mark Heimann
Rushil Anirudh
Danai Koutra
Jayaraman J. Thiagarajan
UQCV
161
6
0
07 Jan 2024
Classifier-free graph diffusion for molecular property targeting
Classifier-free graph diffusion for molecular property targeting
Matteo Ninniri
Marco Podda
Davide Bacciu
137
9
0
28 Dec 2023
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching
Federico Errica
Henrik Christiansen
Viktor Zaverkin
Takashi Maruyama
Mathias Niepert
Francesco Alesiani
327
13
0
27 Dec 2023
Learning to Reweight for Graph Neural Network
Learning to Reweight for Graph Neural Network
Ruihao Zhang
Teng Xiao
Kun Kuang
Zheqi Lv
Min Zhang
Jinluan Yang
Chengqiang Lu
Hongxia Yang
Leilei Gan
OOD
129
1
0
19 Dec 2023
How to Train Neural Field Representations: A Comprehensive Study and
  Benchmark
How to Train Neural Field Representations: A Comprehensive Study and Benchmark
Samuele Papa
Riccardo Valperga
David M. Knigge
Miltiadis Kofinas
Phillip Lippe
Jan-Jakob Sonke
E. Gavves
155
9
0
16 Dec 2023
HyPE-GT: where Graph Transformers meet Hyperbolic Positional Encodings
HyPE-GT: where Graph Transformers meet Hyperbolic Positional Encodings
Kushal Bose
Swagatam Das
122
2
0
11 Dec 2023
Improving Subgraph-GNNs via Edge-Level Ego-Network Encodings
Improving Subgraph-GNNs via Edge-Level Ego-Network Encodings
Nurudin Alvarez-Gonzalez
Andreas Kaltenbrunner
Vicencc Gómez
138
3
0
10 Dec 2023
Multicoated and Folded Graph Neural Networks with Strong Lottery Tickets
Multicoated and Folded Graph Neural Networks with Strong Lottery Tickets
Jiale Yan
Hiroaki Ito
Ángel López García-Arias
Yasuyuki Okoshi
Hikari Otsuka
Kazushi Kawamura
Thiem Van Chu
Masato Motomura
154
4
0
06 Dec 2023
GFS: Graph-based Feature Synthesis for Prediction over Relational
  Databases
GFS: Graph-based Feature Synthesis for Prediction over Relational Databases
Han Zhang
Quan Gan
David Wipf
Weinan Zhang
59
11
0
04 Dec 2023
Recurrent Distance Filtering for Graph Representation Learning
Recurrent Distance Filtering for Graph Representation Learning
Yuhui Ding
Antonio Orvieto
Bobby He
Thomas Hofmann
GNN
217
10
0
03 Dec 2023
Advancing Drug Discovery with Enhanced Chemical Understanding via Asymmetric Contrastive Multimodal Learning
Advancing Drug Discovery with Enhanced Chemical Understanding via Asymmetric Contrastive Multimodal Learning
Hao Xu
Yifei Wang
Yunrui Li
Pengyu Hong
Pengyu Hong
149
4
0
11 Nov 2023
Weakly supervised cross-modal learning in high-content screening
Weakly supervised cross-modal learning in high-content screening
Gabriel Watkinson
Ethan O. Cohen
Nicolas Bourriez
Ihab Bendidi
Guillaume Bollot
Auguste Genovesio
100
4
0
08 Nov 2023
Sparse Training of Discrete Diffusion Models for Graph Generation
Sparse Training of Discrete Diffusion Models for Graph Generation
Yiming Qin
Clément Vignac
Pascal Frossard
92
16
0
03 Nov 2023
Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational
  and Temporal Graphs
Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational and Temporal Graphs
Yeyuan Chen
Dingmin Wang
77
1
0
03 Nov 2023
GNNBleed: Inference Attacks to Unveil Private Edges in Graphs with Realistic Access to GNN Models
GNNBleed: Inference Attacks to Unveil Private Edges in Graphs with Realistic Access to GNN Models
Zeyu Song
Ehsanul Kabir
Shagufta Mehnaz
129
1
0
03 Nov 2023
Distance-Based Propagation for Efficient Knowledge Graph Reasoning
Distance-Based Propagation for Efficient Knowledge Graph Reasoning
Harry Shomer
Yao Ma
Juanhui Li
Bo Wu
Charu C. Aggarwal
Jiliang Tang
94
5
0
02 Nov 2023
Efficient Subgraph GNNs by Learning Effective Selection Policies
Efficient Subgraph GNNs by Learning Effective Selection Policies
Beatrice Bevilacqua
Moshe Eliasof
E. Meirom
Bruno Ribeiro
Haggai Maron
114
15
0
30 Oct 2023
Facilitating Graph Neural Networks with Random Walk on Simplicial
  Complexes
Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes
Cai Zhou
Xiyuan Wang
Muhan Zhang
100
19
0
30 Oct 2023
Curriculum Learning for Graph Neural Networks: Which Edges Should We
  Learn First
Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First
Zhengwu Zhang
Junxiang Wang
Liang Zhao
131
17
0
28 Oct 2023
Laplacian Canonization: A Minimalist Approach to Sign and Basis
  Invariant Spectral Embedding
Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding
Jiangyan Ma
Yifei Wang
Yisen Wang
195
16
0
28 Oct 2023
Atom-Motif Contrastive Transformer for Molecular Property Prediction
Atom-Motif Contrastive Transformer for Molecular Property Prediction
Wentao Yu
Shuo Chen
Chen Gong
Gang Niu
Masashi Sugiyama
ViT
103
2
0
11 Oct 2023
Harmonic Self-Conditioned Flow Matching for Multi-Ligand Docking and
  Binding Site Design
Harmonic Self-Conditioned Flow Matching for Multi-Ligand Docking and Binding Site Design
Hannes Stärk
Bowen Jing
Regina Barzilay
Tommi Jaakkola
234
35
0
09 Oct 2023
Graph learning in robotics: a survey
Graph learning in robotics: a survey
Francesca Pistilli
Giuseppe Averta
AI4CEGNN
109
12
0
06 Oct 2023
Fishnets: Information-Optimal, Scalable Aggregation for Sets and Graphs
Fishnets: Information-Optimal, Scalable Aggregation for Sets and Graphs
T. Lucas Makinen
Justin Alsing
Benjamin Dan Wandelt
GNNFedML
79
5
0
05 Oct 2023
PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property
  Prediction
PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction
Shiguang Wu
Yaqing Wang
Quanming Yao
89
4
0
01 Oct 2023
Exploiting Edge Features in Graphs with Fused Network Gromov-Wasserstein
  Distance
Exploiting Edge Features in Graphs with Fused Network Gromov-Wasserstein Distance
Junjie Yang
Matthieu Labeau
Steeven Villa
OT
117
1
0
28 Sep 2023
InkStream: Real-time GNN Inference on Streaming Graphs via Incremental
  Update
InkStream: Real-time GNN Inference on Streaming Graphs via Incremental Update
Dan Wu
Zhaoying Li
Tulika Mitra
GNN
96
3
0
20 Sep 2023
Deep Prompt Tuning for Graph Transformers
Deep Prompt Tuning for Graph Transformers
Reza Shirkavand
Heng-Chiao Huang
83
7
0
18 Sep 2023
Performance of Graph Neural Networks for Point Cloud Applications
Performance of Graph Neural Networks for Point Cloud Applications
Dhruv Parikh
Bingyi Zhang
Rajgopal Kannan
Viktor Prasanna
Carl E. Busart
GNN3DPC
96
1
0
17 Sep 2023
Uncovering Neural Scaling Laws in Molecular Representation Learning
Uncovering Neural Scaling Laws in Molecular Representation Learning
Dingshuo Chen
Yanqiao Zhu
Jieyu Zhang
Yuanqi Du
Zhixun Li
Qiang Liu
Shu Wu
Liang Wang
106
21
0
15 Sep 2023
Band-gap regression with architecture-optimized message-passing neural
  networks
Band-gap regression with architecture-optimized message-passing neural networks
Tim Bechtel
Daniel T. Speckhard
Jonathan Godwin
Claudia Ambrosch-Draxl
90
1
0
12 Sep 2023
Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle
  Counting Power
Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power
Junru Zhou
Jiarui Feng
Xiyuan Wang
Muhan Zhang
165
11
0
10 Sep 2023
3D Denoisers are Good 2D Teachers: Molecular Pretraining via Denoising
  and Cross-Modal Distillation
3D Denoisers are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation
Sungjun Cho
Dae-Woong Jeong
Sung Moon Ko
Jinwoo Kim
Sehui Han
Seunghoon Hong
Honglak Lee
Moontae Lee
AI4CEDiffM
107
1
0
08 Sep 2023
Temporal Inductive Path Neural Network for Temporal Knowledge Graph
  Reasoning
Temporal Inductive Path Neural Network for Temporal Knowledge Graph Reasoning
Hao Dong
Pengyang Wang
Meng Xiao
Zhiyuan Ning
P. Wang
Yuanchun Zhou
119
14
0
06 Sep 2023
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