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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"

50 / 2,140 papers shown
Title
Wireless 3D Point Cloud Delivery Using Deep Graph Neural Networks
Wireless 3D Point Cloud Delivery Using Deep Graph Neural Networks
T. Fujihashi
T. Koike-Akino
Siheng Chen
Takashi Watanabe
3DPC
11
14
0
17 Jun 2020
Isometric Graph Neural Networks
Isometric Graph Neural Networks
Matthew Walker
Bo Yan
Yiou Xiao
Yafei Wang
Ayan Acharya
GNN
12
2
0
16 Jun 2020
Multipole Graph Neural Operator for Parametric Partial Differential
  Equations
Multipole Graph Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
8
371
0
16 Jun 2020
Wasserstein Embedding for Graph Learning
Wasserstein Embedding for Graph Learning
Soheil Kolouri
Navid Naderializadeh
Gustavo K. Rohde
Heiko Hoffmann
GNN
14
84
0
16 Jun 2020
Improving Graph Neural Network Expressivity via Subgraph Isomorphism
  Counting
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting
Giorgos Bouritsas
Fabrizio Frasca
S. Zafeiriou
M. Bronstein
33
419
0
16 Jun 2020
Adaptive Universal Generalized PageRank Graph Neural Network
Adaptive Universal Generalized PageRank Graph Neural Network
Eli Chien
Jianhao Peng
Pan Li
O. Milenkovic
20
702
0
14 Jun 2020
Global Attention Improves Graph Networks Generalization
Global Attention Improves Graph Networks Generalization
Omri Puny
Heli Ben-Hamu
Y. Lipman
12
22
0
14 Jun 2020
DeeperGCN: All You Need to Train Deeper GCNs
DeeperGCN: All You Need to Train Deeper GCNs
Guohao Li
Chenxin Xiong
Ali K. Thabet
Bernard Ghanem
GNN
14
431
0
13 Jun 2020
Understanding and Resolving Performance Degradation in Graph
  Convolutional Networks
Understanding and Resolving Performance Degradation in Graph Convolutional Networks
Kuangqi Zhou
Yanfei Dong
Kaixin Wang
W. Lee
Bryan Hooi
Huan Xu
Jiashi Feng
GNN
BDL
34
88
0
12 Jun 2020
TorsionNet: A Reinforcement Learning Approach to Sequential Conformer
  Search
TorsionNet: A Reinforcement Learning Approach to Sequential Conformer Search
T. Gogineni
Ziping Xu
E. Punzalan
Runxuan Jiang
Joshua A Kammeraad
Ambuj Tewari
Paul M. Zimmerman
AI4CE
6
31
0
12 Jun 2020
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph
  Link Prediction
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction
Jinheon Baek
Dong Bok Lee
Sung Ju Hwang
17
86
0
11 Jun 2020
GNNAdvisor: An Adaptive and Efficient Runtime System for GNN
  Acceleration on GPUs
GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs
Yuke Wang
Boyuan Feng
Gushu Li
Shuangchen Li
Lei Deng
Yuan Xie
Yufei Ding
GNN
6
120
0
11 Jun 2020
Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction
Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction
Yunsheng Bai
Ken Gu
Yizhou Sun
Wei Wang
GNN
6
15
0
11 Jun 2020
Implicit Kernel Attention
Implicit Kernel Attention
Kyungwoo Song
Yohan Jung
Dongjun Kim
Il-Chul Moon
6
16
0
11 Jun 2020
On the Bottleneck of Graph Neural Networks and its Practical
  Implications
On the Bottleneck of Graph Neural Networks and its Practical Implications
Uri Alon
Eran Yahav
GNN
8
658
0
09 Jun 2020
Understanding Graph Neural Networks from Graph Signal Denoising
  Perspectives
Understanding Graph Neural Networks from Graph Signal Denoising Perspectives
Guoji Fu
Yifan Hou
Jian Zhang
Kaili Ma
Barakeel Fanseu Kamhoua
James Cheng
9
18
0
08 Jun 2020
Fully Convolutional Mesh Autoencoder using Efficient Spatially Varying
  Kernels
Fully Convolutional Mesh Autoencoder using Efficient Spatially Varying Kernels
Yi Zhou
Chenglei Wu
Zimo Li
Chen Cao
Yuting Ye
Jason M. Saragih
Hao Li
Yaser Sheikh
13
74
0
08 Jun 2020
Deep Graph Contrastive Representation Learning
Deep Graph Contrastive Representation Learning
Yanqiao Zhu
Yichen Xu
Feng Yu
Qiang Liu
Shu Wu
Liang Wang
SSL
8
790
0
07 Jun 2020
DiffGCN: Graph Convolutional Networks via Differential Operators and
  Algebraic Multigrid Pooling
DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling
Moshe Eliasof
Eran Treister
6
25
0
07 Jun 2020
Geometric Graph Representations and Geometric Graph Convolutions for
  Deep Learning on Three-Dimensional (3D) Graphs
Geometric Graph Representations and Geometric Graph Convolutions for Deep Learning on Three-Dimensional (3D) Graphs
Daniel T. Chang
GNN
16
3
0
02 Jun 2020
CNNs on Surfaces using Rotation-Equivariant Features
CNNs on Surfaces using Rotation-Equivariant Features
R. Wiersma
E. Eisemann
Klaus Hildebrandt
13
69
0
02 Jun 2020
RelEx: A Model-Agnostic Relational Model Explainer
RelEx: A Model-Agnostic Relational Model Explainer
Yue Zhang
David DeFazio
Arti Ramesh
8
104
0
30 May 2020
Non-Local Graph Neural Networks
Non-Local Graph Neural Networks
Meng Liu
Zhengyang Wang
Shuiwang Ji
11
161
0
29 May 2020
Graph Neural Network for Hamiltonian-Based Material Property Prediction
Graph Neural Network for Hamiltonian-Based Material Property Prediction
Hexin Bai
Peng Chu
Jeng-Yuan Tsai
Nathan Wilson
X. Qian
Q. Yan
Haibin Ling
13
3
0
27 May 2020
DeepRetinotopy: Predicting the Functional Organization of Human Visual
  Cortex from Structural MRI Data using Geometric Deep Learning
DeepRetinotopy: Predicting the Functional Organization of Human Visual Cortex from Structural MRI Data using Geometric Deep Learning
Fernanda L. Ribeiro
S. Bollmann
A. M. Puckett
MedIm
6
15
0
26 May 2020
CARPe Posterum: A Convolutional Approach for Real-time Pedestrian Path
  Prediction
CARPe Posterum: A Convolutional Approach for Real-time Pedestrian Path Prediction
Matías Mendieta
Hamed Tabkhi
14
17
0
26 May 2020
Speaker diarization with session-level speaker embedding refinement
  using graph neural networks
Speaker diarization with session-level speaker embedding refinement using graph neural networks
Jixuan Wang
Xiong Xiao
Jian Wu
Ranjani Ramamurthy
Frank Rudzicz
M. Brudno
15
25
0
22 May 2020
Improved Protein-ligand Binding Affinity Prediction with Structure-Based
  Deep Fusion Inference
Improved Protein-ligand Binding Affinity Prediction with Structure-Based Deep Fusion Inference
Derek Jones
Hyojin Kim
Xiaohua Zhang
A. Zemla
Garrett A. Stevenson
W. D. Bennett
D. Kirshner
Sergio E. Wong
F. Lightstone
Jonathan E. Allen
AI4CE
11
190
0
17 May 2020
Isometric Transformation Invariant and Equivariant Graph Convolutional
  Networks
Isometric Transformation Invariant and Equivariant Graph Convolutional Networks
Masanobu Horie
Naoki Morita
Toshiaki Hishinuma
Yushi Ihara
Naoto Mitsume
GNN
6
23
0
13 May 2020
A Graph Feature Auto-Encoder for the Prediction of Unobserved Node
  Features on Biological Networks
A Graph Feature Auto-Encoder for the Prediction of Unobserved Node Features on Biological Networks
Ramin Hasibi
T. Michoel
AI4CE
16
1
0
08 May 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Ines Chami
Sami Abu-El-Haija
Bryan Perozzi
Christopher Ré
Kevin Patrick Murphy
15
284
0
07 May 2020
Reducing Communication in Graph Neural Network Training
Reducing Communication in Graph Neural Network Training
Alok Tripathy
Katherine Yelick
A. Buluç
GNN
16
104
0
07 May 2020
Geoopt: Riemannian Optimization in PyTorch
Geoopt: Riemannian Optimization in PyTorch
Max Kochurov
R. Karimov
Sergei Kozlukov
6
113
0
06 May 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
30
2,634
0
02 May 2020
Contextualised Graph Attention for Improved Relation Extraction
Contextualised Graph Attention for Improved Relation Extraction
Angrosh Mandya
Danushka Bollegala
Frans Coenen
GNN
16
6
0
22 Apr 2020
Representation Learning of Histopathology Images using Graph Neural
  Networks
Representation Learning of Histopathology Images using Graph Neural Networks
Mohammed Adnan
Shivam Kalra
Hamid R. Tizhoosh
OOD
9
96
0
16 Apr 2020
Pooling in Graph Convolutional Neural Networks
Pooling in Graph Convolutional Neural Networks
Mark Cheung
John Shi
L. Jiang
Oren Wright
J. M. F. Moura
GNN
12
14
0
07 Apr 2020
DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes
DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes
Jonas Schult
Francis Engelmann
Theodora Kontogianni
Bastian Leibe
3DPC
3DV
12
84
0
02 Apr 2020
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds
  Semantic Segmentation
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation
Yang Zhang
Zixiang Zhou
P. David
Xiangyu Yue
Zerong Xi
Boqing Gong
H. Foroosh
3DPC
13
452
0
31 Mar 2020
NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search
NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search
Chen Wei
Chuang Niu
Yiping Tang
Yue Wang
Haihong Hu
Jimin Liang
17
7
0
28 Mar 2020
Deep Grouping Model for Unified Perceptual Parsing
Deep Grouping Model for Unified Perceptual Parsing
Zhiheng Li
Wenxuan Bao
Jiayang Zheng
Chenliang Xu
14
13
0
25 Mar 2020
Tractogram filtering of anatomically non-plausible fibers with geometric
  deep learning
Tractogram filtering of anatomically non-plausible fibers with geometric deep learning
Pietro Astolfi
R. Verhagen
Laurent Petit
E. Olivetti
Jonathan Masci
Davide Boscaini
P. Avesani
MedIm
6
24
0
24 Mar 2020
GeoGraph: Learning graph-based multi-view object detection with
  geometric cues end-to-end
GeoGraph: Learning graph-based multi-view object detection with geometric cues end-to-end
A. Nassar
Stefano Dáronco
Sébastien Lefèvre
Jan Dirk Wegner
ObjD
11
3
0
23 Mar 2020
Julia Language in Machine Learning: Algorithms, Applications, and Open
  Issues
Julia Language in Machine Learning: Algorithms, Applications, and Open Issues
Kaifeng Gao
Gang Mei
F. Piccialli
S. Cuomo
Jingzhi Tu
Zenan Huo
9
55
0
23 Mar 2020
Probabilistic Dual Network Architecture Search on Graphs
Probabilistic Dual Network Architecture Search on Graphs
Yiren Zhao
Duo Wang
Xitong Gao
Robert D. Mullins
Pietro Lió
M. Jamnik
GNN
AI4CE
43
27
0
21 Mar 2020
A Dynamic Reduction Network for Point Clouds
A Dynamic Reduction Network for Point Clouds
L. Gray
T. Klijnsma
Shamik Ghosh
3DPC
GNN
14
9
0
18 Mar 2020
Graph Attention Network based Pruning for Reconstructing 3D Liver Vessel
  Morphology from Contrasted CT Images
Graph Attention Network based Pruning for Reconstructing 3D Liver Vessel Morphology from Contrasted CT Images
Donghao Zhang
Siqi Liu
S. Chaganti
Eli Gibson
Zhoubing Xu
Sasa Grbic
Weidong (Tom) Cai
D. Comaniciu
3DPC
MedIm
24
11
0
18 Mar 2020
Automating Botnet Detection with Graph Neural Networks
Automating Botnet Detection with Graph Neural Networks
Jiawei Zhou
Zhiying Xu
Alexander M. Rush
Minlan Yu
GNN
16
72
0
13 Mar 2020
Learning distributed representations of graphs with Geo2DR
Learning distributed representations of graphs with Geo2DR
P. Scherer
Pietro Lió
GNN
17
4
0
12 Mar 2020
Global Attention based Graph Convolutional Neural Networks for Improved
  Materials Property Prediction
Global Attention based Graph Convolutional Neural Networks for Improved Materials Property Prediction
Steph-Yves M. Louis
Yong Zhao
Alireza Nasiri
Xiran Wong
Yuqi Song
Fei Liu
Jianjun Hu
AI4CE
11
15
0
11 Mar 2020
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