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2206.04216
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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
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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
Xiang Wang
Muhan Zhang
239
0
0
04 Feb 2025
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
Weishuo Ma
Yanbo Wang
Xiang Wang
Muhan Zhang
95
1
0
06 Nov 2024
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
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
Eric Inae
Gang Liu
Meng Jiang
AI4CE
115
14
0
08 Sep 2023
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
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
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
Wengong Jin
Regina Barzilay
Tommi Jaakkola
90
289
0
08 Feb 2020
Diffusion Improves Graph Learning
Johannes Klicpera
Stefan Weißenberger
Stephan Günnemann
GNN
160
712
0
28 Oct 2019
Position-aware Graph Neural Networks
Jiaxuan You
Rex Ying
J. Leskovec
100
498
0
11 Jun 2019
Graph Normalizing Flows
Jenny Liu
Aviral Kumar
Jimmy Ba
J. Kiros
Kevin Swersky
BDL
GNN
AI4CE
76
165
0
30 May 2019
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
Junhyun Lee
Inyeop Lee
Jaewoo Kang
GNN
188
1,130
0
17 Apr 2019
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DH
GNN
3DPC
256
4,371
0
06 Mar 2019
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?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
268
7,710
0
01 Oct 2018
DeepInf: Social Influence Prediction with Deep Learning
J. Qiu
Jian Tang
Hao Ma
Yuxiao Dong
Kuansan Wang
Jie Tang
GNN
AI4CE
85
546
0
15 Jul 2018
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
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
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
Nicola De Cao
Thomas Kipf
GNN
GAN
179
930
0
30 May 2018
Link Prediction Based on Graph Neural Networks
Muhan Zhang
Yixin Chen
GNN
121
1,945
0
27 Feb 2018
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
Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
M. Bronstein
Justin Solomon
GNN
3DPC
265
6,179
0
24 Jan 2018
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
J. Qiu
Yuxiao Dong
Hao Ma
Jian Li
Kuansan Wang
Jie Tang
93
919
0
09 Oct 2017
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
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
C. Qi
Hao Su
Kaichun Mo
Leonidas Guibas
3DH
3DPC
3DV
PINN
505
14,384
0
02 Dec 2016
Variational Graph Auto-Encoders
Thomas Kipf
Max Welling
GNN
BDL
SSL
CML
159
3,598
0
21 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
693
29,220
0
09 Sep 2016
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
David Duvenaud
D. Maclaurin
J. Aguilera-Iparraguirre
Rafael Gómez-Bombarelli
Timothy D. Hirzel
Alán Aspuru-Guzik
Ryan P. Adams
GNN
237
3,356
0
30 Sep 2015
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
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
704
31,571
0
16 Jan 2013
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