DeepWalk - Deep Learning for Graphs
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Published by phanein almost 10 years ago
Fix gensim at 0.10.2
Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and...
Implementation and experiments of graph embedding algorithms.
Representation learning on large graphs using stochastic graph convolutions.
implementing deep dream on video
A deep, LSTM-based part of speech tagger and sentiment analyser using character embeddings instea...
Python package built to ease deep learning on graph, on top of existing DL frameworks.
High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embe...
A flexible package for multimodal-deep-learning to combine tabular data with text and images usin...
An Open-Source Package for Network Embedding (NE)
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Repres...
Top 200 deep learning Github repositories sorted by the number of stars.
StellarGraph - Machine Learning on Graphs
Talk for SciPy2015 "Deep Learning: Tips From The Road"
Code for Online Graph Dictionary Learning
