DeepWalk - Deep Learning for Graphs
OTHER License
implementing deep dream on video
Code for Online Graph Dictionary Learning
Python package built to ease deep learning on graph, on top of existing DL frameworks.
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Repres...
Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and...
A deep, LSTM-based part of speech tagger and sentiment analyser using character embeddings instea...
An Open-Source Package for Network Embedding (NE)
Talk for SciPy2015 "Deep Learning: Tips From The Road"
StellarGraph - Machine Learning on Graphs
A flexible package for multimodal-deep-learning to combine tabular data with text and images usin...
High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embe...
Top 200 deep learning Github repositories sorted by the number of stars.
Representation learning on large graphs using stochastic graph convolutions.
Implementation and experiments of graph embedding algorithms.