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Fast Graph Representation Learning with PyTorch Geometric

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"

40 / 2,140 papers shown
Title
Multi-scale Attributed Node Embedding
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
145
833
0
28 Sep 2019
Can $Q$-Learning with Graph Networks Learn a Generalizable Branching
  Heuristic for a SAT Solver?
Can QQQ-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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Discriminative structural graph classification
Younjoo Seo
Andreas Loukas
Nathanael Perraudin
14
19
0
31 May 2019
Strategies for Pre-training Graph Neural Networks
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
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
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
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
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
Function Space Pooling For Graph Convolutional Networks
P. Corcoran
GNN
23
3
0
15 May 2019
On Graph Classification Networks, Datasets and Baselines
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
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?
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
Inductive Matrix Completion Based on Graph Neural Networks
Muhan Zhang
Yixin Chen
17
229
0
26 Apr 2019
Self-Attention Graph Pooling
Self-Attention Graph Pooling
Junhyun Lee
Inyeop Lee
Jaewoo Kang
GNN
8
1,099
0
17 Apr 2019
Deep Iterative Surface Normal Estimation
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
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
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
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
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
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
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
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
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
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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