|
gptkbp:instance_of
|
gptkb:Library
|
|
gptkbp:based_on
|
gptkb:Py_Torch
|
|
gptkbp:dependency
|
gptkb:torch-cluster
gptkb:torch-geometric
gptkb:torch-scatter
gptkb:torch-sparse
gptkb:torch-spline-conv
gptkb:Py_Torch
|
|
gptkbp:developed_by
|
gptkb:Thomas_Kipf
|
|
gptkbp:has_community
|
active community
|
|
gptkbp:has_documentation
|
online
|
|
gptkbp:has_feature
|
multi-task learning
batch processing
dynamic graphs
graph embeddings
link prediction
graph classification
node classification
graph attention networks
graph pooling
graph regression
spatial-temporal graphs
|
|
gptkbp:has_programs
|
computer vision
natural language processing
traffic prediction
recommendation systems
social network analysis
biological network analysis
chemoinformatics
knowledge graph completion
|
|
gptkbp:has_version
|
gptkb:2.0
1.0
2.1
2.2
2.3
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Py Torch Geometric
|
|
gptkbp:includes
|
convolutional layers
|
|
gptkbp:integrates_with
|
gptkb:Network_X
gptkb:Matplotlib
gptkb:Sci_Py
gptkb:Num_Py
|
|
gptkbp:is_available_on
|
gptkb:archive
|
|
gptkbp:is_compatible_with
|
gptkb:CUDA
|
|
gptkbp:is_used_for
|
graph neural networks
|
|
gptkbp:language
|
gptkb:Library
|
|
gptkbp:license
|
MIT License
|
|
gptkbp:offers
|
message passing framework
|
|
gptkbp:provides
|
graph datasets
data handling for graphs
|
|
gptkbp:release_date
|
gptkb:2017
|
|
gptkbp:supports
|
deep learning
heterogeneous graphs
|
|
gptkbp:tutorials
|
available online
|
|
gptkbp:used_in
|
gptkb:Research_Institute
|
|
gptkbp:bfsParent
|
gptkb:Py_Torch
|
|
gptkbp:bfsLayer
|
4
|