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aspnetcore.docs

Documentation for ASP.NET Core

cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

decagon

Graph convolutional neural network for multirelational link prediction

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

dynamic_bernoulli_embeddings

ecc

Edge-Conditioned Convolutions on Graphs

efficient-ssl

Implementation for IGCN and GLP model in our paper "Label Efficient Semi-Supervised Learning via Graph Filtering."

gae

Implementation of Graph Auto-Encoders in TensorFlow

gconvrnn

Graph convolutional recurrent neural network

gentrl

Generative Tensorial Reinforcement Learning (GENTRL) model

google-research

Google Research

graph_cnn

Supplementary code to "Convolutional Neural Networks Generalization Utilizing the Data Graph Structure"

graphnn

Training computational graph on top of structured data (string, graph, etc)

graphsage

Representation learning on large graphs using stochastic graph convolutions.

neural-fingerprint

Convolutional nets which can take molecular graphs of arbitrary size as input.

nri

Neural relational inference for interacting systems - pytorch

planetoid

Semi-supervised learning with graph embeddings

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pubmedminer.jl

Julia package for studying co-occurrences in PubMed articles

seal

SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural Networks, NIPS 2018 spotlight".

struc2vec

This repository provides a reference implementation of struc2vec.

tip

TIP: Tri-graph Interaction Propagation model for Polypharmacy Side Effect Prediction