Variational Graph Auto Encoder

Introduced by Kipf et al. in Variational Graph Auto-Encoders

Source: Variational Graph Auto-Encoders

Paper	Code	Results	Date	Stars

Task	Papers	Share
Link Prediction	11	28.21%
Node Classification	4	10.26%
Graph Representation Learning	3	7.69%
Graph Learning	3	7.69%
Community Detection	3	7.69%
Graph Classification	1	2.56%
Disentanglement	1	2.56%
Meta-Learning	1	2.56%
Self-Supervised Learning	1	2.56%

This feature is experimental; we are continuously improving our matching algorithm.

Component	Type	Add Remove
🤖 No Components Found	You can add them if they exist; e.g. Mask R-CNN uses RoIAlign