Properties (53)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Software
|
| gptkbp:application |
Social network analysis
Recommendation systems Traffic prediction Biological network analysis |
| gptkbp:archives |
GitHub
|
| gptkbp:author |
gptkb:Max_Welling
gptkb:Thomas_Kipf |
| gptkbp:category |
Machine Learning
|
| gptkbp:citedBy |
Kipf,_T._N.,_&_Welling,_M._(2017)._Semi-Supervised_Classification_with_Graph_Convolutional_Networks.
|
| gptkbp:community |
Open-source community
|
| gptkbp:dependency |
TensorFlow
NumPy SciPy |
| gptkbp:description |
Graph_Convolutional_Network_implementation.
|
| gptkbp:developedBy |
gptkb:Google
|
| gptkbp:events |
Conferences
Workshops Hackathons Meetups |
| gptkbp:features |
Efficiency
Flexibility Scalability Robustness Interpretability |
| gptkbp:hasVersion |
1.0
|
| https://www.w3.org/2000/01/rdf-schema#label |
GCN 1.0
|
| gptkbp:impact |
Community engagement
Educational resources Industry applications Research advancements |
| gptkbp:language |
Python
|
| gptkbp:license |
Apache License 2.0
|
| gptkbp:platforms |
Cross-platform
|
| gptkbp:relatedTo |
Artificial Intelligence
Deep Learning Machine Learning Neural Networks Graph Theory |
| gptkbp:releaseDate |
2021-05-18
|
| gptkbp:resources |
Online courses
Research papers Community forums Official documentation |
| gptkbp:successor |
gptkb:GCN_2.0
|
| gptkbp:supports |
Issue tracking
User contributions Feature requests Active development |
| gptkbp:uses |
Link prediction
Node classification Graph clustering Graph data analysis |