Keras implementation of Structural Deep Network Embedding, KDD 2016

The paper
More details in my blog article

some examples

visualzing 20newsgroup data

you can also play with the embedding interactively

label embedding from stackexchange.datascience (deep-learning as an example)

you can also play with the embedding interactively

important scripts

main algorithm

core.py

experiments

20newsgroup visualization

20newsgroup_train.py: train for 20newsgroup dataset
20newsgroup_viz.py: visualization using sklearn.manifold.TSNE
20newsgroup_tensorboard_embedding.py: produce the embedding files for tensorboard projector, which is more interactive
- you can also play with it here using trained embeddings

link prediction

link_prediction.py: train (including grid search) and test

stackexchange label visualization

stackexchange_train.py: train for the stackexchange label cooccurence graph
stackexchange_label_embedding.py: produce the embedding files for tensorboard projector
- you can also play with it here using trained embeddings

other implementations