Graph Embeddings

Wasserstein Embedding for Graph Learning

Introduced by Kolouri et al. in Wasserstein Embedding for Graph Learning

Papers


Paper Code Results Date Stars

Tasks


Task Papers Share
Graph Classification 1 20.00%
Graph Embedding 1 20.00%
Graph Learning 1 20.00%
Graph Property Prediction 1 20.00%
Property Prediction 1 20.00%

Components


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

Categories