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1903.02428
Cited By
Fast Graph Representation Learning with PyTorch Geometric
6 March 2019
Matthias Fey
J. E. Lenssen
3DH
GNN
3DPC
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Papers citing
"Fast Graph Representation Learning with PyTorch Geometric"
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Title
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
145
833
0
28 Sep 2019
Can
Q
Q
Q
-Learning with Graph Networks Learn a Generalizable Branching Heuristic for a SAT Solver?
Vitaly Kurin
Saad Godil
Shimon Whiteson
Bryan Catanzaro
NAI
11
28
0
26 Sep 2019
Haar Graph Pooling
Yu Guang Wang
Ming Li
Zheng Ma
Guido Montúfar
Xiaosheng Zhuang
Yanan Fan
GNN
14
8
0
25 Sep 2019
Graph Neural Networks for Human-aware Social Navigation
Luis J. Manso
Ronit R. Jorvekar
Diego Resende Faria
Pablo Bustos
P. Bachiller
GNN
6
17
0
19 Sep 2019
Where are the Keys? -- Learning Object-Centric Navigation Policies on Semantic Maps with Graph Convolutional Networks
Niko Sünderhauf
21
8
0
16 Sep 2019
A Non-Negative Factorization approach to node pooling in Graph Convolutional Neural Networks
D. Bacciu
Luigi Di Sotto
GNN
6
26
0
07 Sep 2019
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View
Deli Chen
Yankai Lin
Wei Li
Peng Li
Jie Zhou
Xu Sun
26
1,078
0
07 Sep 2019
Auto-GNN: Neural Architecture Search of Graph Neural Networks
Kaixiong Zhou
Qingquan Song
Xiao Huang
Xia Hu
GNN
56
178
0
07 Sep 2019
Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks
Binxuan Huang
Kathleen M. Carley
GNN
6
246
0
05 Sep 2019
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Minjie Wang
Da Zheng
Zihao Ye
Quan Gan
Mufei Li
...
J. Zhao
Haotong Zhang
Alex Smola
Jinyang Li
Zheng-Wei Zhang
AI4CE
GNN
189
743
0
03 Sep 2019
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images
Yanning Zhou
S. Graham
Navid Alemi Koohbanani
Muhammad Shaban
Pheng-Ann Heng
Nasir M. Rajpoot
MedIm
27
172
0
03 Sep 2019
EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks
Shengwen Liang
Ying Wang
Cheng Liu
Lei He
Huawei Li
Xiaowei Li
GNN
6
132
0
31 Aug 2019
Tiered Graph Autoencoders with PyTorch Geometric for Molecular Graphs
Daniel T. Chang
AI4CE
GNN
8
9
0
22 Aug 2019
End-to-End Learning from Complex Multigraphs with Latent-Graph Convolutional Networks
Floris Hermsen
Peter Bloem
Fabian Jansen
W. Vos
GNN
BDL
9
1
0
14 Aug 2019
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
Fan-Yun Sun
Jordan Hoffmann
Vikas Verma
Jian Tang
SSL
14
838
0
31 Jul 2019
Spectral-based Graph Convolutional Network for Directed Graphs
Y. Ma
Jianye Hao
Yaodong Yang
Han Li
Junqi Jin
Guangyong Chen
GNN
BDL
13
73
0
21 Jul 2019
k-hop Graph Neural Networks
Giannis Nikolentzos
George Dasoulas
Michalis Vazirgiannis
16
104
0
13 Jul 2019
Graph Neural Network for Interpreting Task-fMRI Biomarkers
Xiaoxiao Li
Nicha Dvornek
Yuan Zhou
Juntang Zhuang
P. Ventola
James S. Duncan
17
101
0
02 Jul 2019
Discriminative structural graph classification
Younjoo Seo
Andreas Loukas
Nathanael Perraudin
14
19
0
31 May 2019
Strategies for Pre-training Graph Neural Networks
Weihua Hu
Bowen Liu
Joseph Gomes
Marinka Zitnik
Percy Liang
Vijay S. Pande
J. Leskovec
SSL
AI4CE
12
1,352
0
29 May 2019
Representation Learning for Dynamic Graphs: A Survey
Seyed Mehran Kazemi
Rishab Goel
Kshitij Jain
I. Kobyzev
Akshay Sethi
Peter Forsyth
Pascal Poupart
AI4TS
AI4CE
GNN
18
445
0
27 May 2019
Provably Powerful Graph Networks
Haggai Maron
Heli Ben-Hamu
Hadar Serviansky
Y. Lipman
12
561
0
27 May 2019
Edge Contraction Pooling for Graph Neural Networks
Frederik Diehl
GNN
11
129
0
27 May 2019
A Flexible Generative Framework for Graph-based Semi-supervised Learning
Jiaqi Ma
Weijing Tang
Ji Zhu
Qiaozhu Mei
BDL
11
61
0
26 May 2019
Function Space Pooling For Graph Convolutional Networks
P. Corcoran
GNN
23
3
0
15 May 2019
On Graph Classification Networks, Datasets and Baselines
Enxhell Luzhnica
Ben Day
Pietro Lió
GNN
13
19
0
12 May 2019
Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification
Ting-Li Chen
Song Bian
Yizhou Sun
11
88
0
11 May 2019
Are Graph Neural Networks Miscalibrated?
Leonardo Teixeira
B. Jalaeian
Bruno Ribeiro
AI4CE
14
22
0
07 May 2019
Inductive Matrix Completion Based on Graph Neural Networks
Muhan Zhang
Yixin Chen
17
229
0
26 Apr 2019
Self-Attention Graph Pooling
Junhyun Lee
Inyeop Lee
Jaewoo Kang
GNN
8
1,099
0
17 Apr 2019
Deep Iterative Surface Normal Estimation
J. E. Lenssen
Christian Osendorfer
Jonathan Masci
3DPC
10
1
0
15 Apr 2019
Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks
Matthias Fey
GNN
11
47
0
09 Apr 2019
Deep Node Ranking for Neuro-symbolic Structural Node Embedding and Classification
Blaž Škrlj
Jan Kralj
Janez Konc
Marko Robnik-Šikonja
Nada Lavrac
GNN
BDL
25
3
0
11 Feb 2019
Graph Neural Networks with convolutional ARMA filters
F. Bianchi
Daniele Grattarola
L. Livi
C. Alippi
GNN
13
384
0
05 Jan 2019
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
GNN
26
5,365
0
20 Dec 2018
Deep Learning on Graphs: A Survey
Ziwei Zhang
Peng Cui
Wenwu Zhu
GNN
22
1,311
0
11 Dec 2018
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules
Shengchao Liu
M. F. Demirel
Yingyu Liang
GNN
NAI
6
191
0
24 Jun 2018
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
229
1,935
0
09 Jun 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
234
1,809
0
25 Nov 2016
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
231
3,230
0
24 Nov 2016
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