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Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning
  and Neuroscience (VesselGraph)

Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph)

30 August 2021
Johannes C. Paetzold
J. McGinnis
Suprosanna Shit
Ivan Ezhov
Paul Büschl
Chinmay Prabhakar
Mihail I. Todorov
Anjany Sekuboyina
Georgios Kaissis
Ali Ertürk
Stephan Günnemann
Bjoern Menze
ArXivPDFHTML

Papers citing "Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph)"

20 / 20 papers shown
Title
Scalable Robust Graph and Feature Extraction for Arbitrary Vessel
  Networks in Large Volumetric Datasets
Scalable Robust Graph and Feature Extraction for Arbitrary Vessel Networks in Large Volumetric Datasets
Dominik Drees
A. Scherzinger
René Hagerling
F. Kiefer
Xiaoyi Jiang
25
24
0
05 Feb 2021
Combining Label Propagation and Simple Models Out-performs Graph Neural
  Networks
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks
Qian Huang
Horace He
Abhay Singh
Ser-Nam Lim
Austin R. Benson
56
283
0
27 Oct 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
160
2,687
0
02 May 2020
SIGN: Scalable Inception Graph Neural Networks
SIGN: Scalable Inception Graph Neural Networks
Fabrizio Frasca
Emanuele Rossi
D. Eynard
B. Chamberlain
M. Bronstein
Federico Monti
GNN
73
394
0
23 Apr 2020
Directional Message Passing for Molecular Graphs
Directional Message Passing for Molecular Graphs
Johannes Klicpera
Janek Groß
Stephan Günnemann
91
861
0
06 Mar 2020
Composition-based Multi-Relational Graph Convolutional Networks
Composition-based Multi-Relational Graph Convolutional Networks
Shikhar Vashishth
Soumya Sanyal
Vikram Nitin
Partha P. Talukdar
GNN
100
827
0
08 Nov 2019
GraphSAINT: Graph Sampling Based Inductive Learning Method
GraphSAINT: Graph Sampling Based Inductive Learning Method
Hanqing Zeng
Hongkuan Zhou
Ajitesh Srivastava
Rajgopal Kannan
Viktor Prasanna
GNN
104
962
0
10 Jul 2019
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph
  Convolutional Networks
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks
Wei-Lin Chiang
Xuanqing Liu
Si Si
Yang Li
Samy Bengio
Cho-Jui Hsieh
GNN
95
1,266
0
20 May 2019
GNNExplainer: Generating Explanations for Graph Neural Networks
GNNExplainer: Generating Explanations for Graph Neural Networks
Rex Ying
Dylan Bourgeois
Jiaxuan You
Marinka Zitnik
J. Leskovec
LLMAG
104
1,300
0
10 Mar 2019
Fast Graph Representation Learning with PyTorch Geometric
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DH
GNN
3DPC
139
4,289
0
06 Mar 2019
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Johannes Klicpera
Aleksandar Bojchevski
Stephan Günnemann
GNN
173
1,674
0
14 Oct 2018
DeepVesselNet: Vessel Segmentation, Centerline Prediction, and
  Bifurcation Detection in 3-D Angiographic Volumes
DeepVesselNet: Vessel Segmentation, Centerline Prediction, and Bifurcation Detection in 3-D Angiographic Volumes
Giles Tetteh
Velizar Efremov
Nils D. Forkert
Matthias Schneider
Jan Kirschke
B. Weber
C. Zimmer
Marie Piraud
Bjoern Menze
MedIm
3DPC
30
215
0
25 Mar 2018
Link Prediction Based on Graph Neural Networks
Link Prediction Based on Graph Neural Networks
Muhan Zhang
Yixin Chen
GNN
42
1,912
0
27 Feb 2018
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
337
15,066
0
07 Jun 2017
Modeling Relational Data with Graph Convolutional Networks
Modeling Relational Data with Graph Convolutional Networks
Michael Schlichtkrull
Thomas Kipf
Peter Bloem
Rianne van den Berg
Ivan Titov
Max Welling
GNN
123
4,772
0
17 Mar 2017
Variational Graph Auto-Encoders
Variational Graph Auto-Encoders
Thomas Kipf
Max Welling
GNN
BDL
SSL
CML
86
3,541
0
21 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
402
28,795
0
09 Sep 2016
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
132
10,800
0
03 Jul 2016
Quantifying mesoscale neuroanatomy using X-ray microtomography
Quantifying mesoscale neuroanatomy using X-ray microtomography
Eva L. Dyer
William R. Gray Roncal
Hugo L. Fernandes
D. Gursoy
V. De Andrade
...
Xianghui Xiao
Joshua T. Vogelstein
C. Jacobsen
Konrad Paul Kording
N. Kasthuri
19
82
0
13 Apr 2016
Visualization of Large Volumetric Multi-Channel Microscopy Data Streams
  on Standard PCs
Visualization of Large Volumetric Multi-Channel Microscopy Data Streams on Standard PCs
T. Brix
Jörg-Stefan Praßni
K. Hinrichs
32
12
0
08 Jul 2014
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