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Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link
  Prediction

Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction

9 June 2022
Seongjun Yun
Seoyoon Kim
Junhyun Lee
Jaewoo Kang
Hyunwoo J. Kim
    GNN
ArXiv (abs)PDFHTMLGithub (38★)

Papers citing "Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction"

37 / 37 papers shown
Title
Using Random Noise Equivariantly to Boost Graph Neural Networks Universally
Using Random Noise Equivariantly to Boost Graph Neural Networks Universally
Xiang Wang
Muhan Zhang
239
0
0
04 Feb 2025
Efficient Link Prediction via GNN Layers Induced by Negative Sampling
Efficient Link Prediction via GNN Layers Induced by Negative Sampling
Yuxin Wang
Xiannian Hu
Quan Gan
Xuanjing Huang
Xipeng Qiu
David Wipf
150
6
0
31 Dec 2024
Reconsidering the Performance of GAE in Link Prediction
Reconsidering the Performance of GAE in Link Prediction
Weishuo Ma
Yanbo Wang
Xiang Wang
Muhan Zhang
95
1
0
06 Nov 2024
GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation
GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation
Ziwei Yang
Zheng Chen
Xin Liu
Rikuto Kotoge
Peng Chen
Yasuko Matsubara
Yasushi Sakurai
Jimeng Sun
127
0
0
17 Oct 2024
GENIE: Watermarking Graph Neural Networks for Link Prediction
GENIE: Watermarking Graph Neural Networks for Link Prediction
Venkata Sai Pranav Bachina
Ankit Gangwal
Aaryan Ajay Sharma
Charu Sharma
131
2
0
07 Jun 2024
Motif-aware Attribute Masking for Molecular Graph Pre-training
Motif-aware Attribute Masking for Molecular Graph Pre-training
Eric Inae
Gang Liu
Meng Jiang
AI4CE
115
14
0
08 Sep 2023
Simple and Deep Graph Convolutional Networks
Simple and Deep Graph Convolutional Networks
Ming Chen
Zhewei Wei
Zengfeng Huang
Bolin Ding
Yaliang Li
GNN
133
1,505
0
04 Jul 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Weihua Hu
Matthias Fey
Marinka Zitnik
Yuxiao Dong
Hongyu Ren
Bowen Liu
Michele Catasta
J. Leskovec
311
2,754
0
02 May 2020
Semantic Image Manipulation Using Scene Graphs
Semantic Image Manipulation Using Scene Graphs
Helisa Dhamo
Azade Farshad
Iro Laina
Nassir Navab
Gregory Hager
Federico Tombari
Christian Rupprecht
110
121
0
07 Apr 2020
Hierarchical Generation of Molecular Graphs using Structural Motifs
Hierarchical Generation of Molecular Graphs using Structural Motifs
Wengong Jin
Regina Barzilay
Tommi Jaakkola
92
289
0
08 Feb 2020
Diffusion Improves Graph Learning
Diffusion Improves Graph Learning
Johannes Klicpera
Stefan Weißenberger
Stephan Günnemann
GNN
160
712
0
28 Oct 2019
Position-aware Graph Neural Networks
Position-aware Graph Neural Networks
Jiaxuan You
Rex Ying
J. Leskovec
100
498
0
11 Jun 2019
Graph Normalizing Flows
Graph Normalizing Flows
Jenny Liu
Aviral Kumar
Jimmy Ba
J. Kiros
Kevin Swersky
BDLGNNAI4CE
76
165
0
30 May 2019
MCNE: An End-to-End Framework for Learning Multiple Conditional Network
  Representations of Social Network
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network
Hao Wang
Tong Xu
Qi Liu
Defu Lian
Enhong Chen
Dongfang Du
Han Wu
Wen Su
73
118
0
27 May 2019
Self-Attention Graph Pooling
Self-Attention Graph Pooling
Junhyun Lee
Inyeop Lee
Jaewoo Kang
GNN
188
1,130
0
17 Apr 2019
Fast Graph Representation Learning with PyTorch Geometric
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DHGNN3DPC
256
4,371
0
06 Mar 2019
Invariant and Equivariant Graph Networks
Invariant and Equivariant Graph Networks
Haggai Maron
Heli Ben-Hamu
Nadav Shamir
Y. Lipman
150
508
0
24 Dec 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
268
7,710
0
01 Oct 2018
DeepInf: Social Influence Prediction with Deep Learning
DeepInf: Social Influence Prediction with Deep Learning
J. Qiu
Jian Tang
Hao Ma
Yuxiao Dong
Kuansan Wang
Jie Tang
GNNAI4CE
85
546
0
15 Jul 2018
Hierarchical Graph Representation Learning with Differentiable Pooling
Hierarchical Graph Representation Learning with Differentiable Pooling
Rex Ying
Jiaxuan You
Christopher Morris
Xiang Ren
William L. Hamilton
J. Leskovec
GNN
323
2,157
0
22 Jun 2018
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
526
1,991
0
09 Jun 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph
  Generation
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You
Bowen Liu
Rex Ying
Vijay S. Pande
J. Leskovec
GNN
301
905
0
07 Jun 2018
MolGAN: An implicit generative model for small molecular graphs
MolGAN: An implicit generative model for small molecular graphs
Nicola De Cao
Thomas Kipf
GNNGAN
181
930
0
30 May 2018
Link Prediction Based on Graph Neural Networks
Link Prediction Based on Graph Neural Networks
Muhan Zhang
Yixin Chen
GNN
121
1,948
0
27 Feb 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
369
1,372
0
12 Feb 2018
Dynamic Graph CNN for Learning on Point Clouds
Dynamic Graph CNN for Learning on Point Clouds
Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
M. Bronstein
Justin Solomon
GNN3DPC
265
6,179
0
24 Jan 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
491
20,295
0
30 Oct 2017
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE,
  and node2vec
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec
J. Qiu
Yuxiao Dong
Hao Ma
Jian Li
Kuansan Wang
Jie Tang
93
919
0
09 Oct 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
523
15,369
0
07 Jun 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
600
7,500
0
04 Apr 2017
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 Guibas
3DH3DPC3DVPINN
505
14,384
0
02 Dec 2016
Variational Graph Auto-Encoders
Variational Graph Auto-Encoders
Thomas Kipf
Max Welling
GNNBDLSSLCML
159
3,598
0
21 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
693
29,220
0
09 Sep 2016
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
200
10,934
0
03 Jul 2016
Convolutional Networks on Graphs for Learning Molecular Fingerprints
Convolutional Networks on Graphs for Learning Molecular Fingerprints
David Duvenaud
D. Maclaurin
J. Aguilera-Iparraguirre
Rafael Gómez-Bombarelli
Timothy D. Hirzel
Alán Aspuru-Guzik
Ryan P. Adams
GNN
239
3,356
0
30 Sep 2015
DeepWalk: Online Learning of Social Representations
DeepWalk: Online Learning of Social Representations
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
HAI
277
9,816
0
26 Mar 2014
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
707
31,571
0
16 Jan 2013
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