decagon

Pharmacology predictor

An open-source software project implementing a graph convolutional neural network algorithm to predict side effects of drug combinations in pharmacology.

Graph convolutional neural network for multirelational link prediction

GitHub

449 stars
25 watching
142 forks
Language: Jupyter Notebook
last commit: almost 2 years ago
Linked from 1 awesome list

deep-learningembeddingsgraph-convolutional-networksgraph-neural-networkspharmacologyrepresentation-learning

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
benedekrozemberczki/attentionwalk An implementation of a deep learning algorithm to generate node embeddings in graphs 320
benedekrozemberczki/tene A sparsity-aware implementation of a deep learning algorithm for graph embedding with text information. 73
benedekrozemberczki/role2vec An implementation of a deep learning-based method for creating vector representations of nodes in a graph 166
mims-harvard/ohmnet An algorithm for learning feature representations in multi-layer networks 79
benedekrozemberczki/grarep An implementation of a method for learning graph representations from global structural information in a network 63
benedekrozemberczki/sine An implementation of a scalable method for learning node representations in complex networks 72
benedekrozemberczki/feather A reference implementation of a method for learning graph node embeddings from graph structure and node features 45
malllabiisc/wordgcn A deep learning model that generates word embeddings by predicting words based on their dependency context 290
benedekrozemberczki/gemsec A reference implementation of graph embedding with clustering using deep learning techniques 252
benedekrozemberczki/sgcn An implementation of a deep learning algorithm for graph data 268
xgfs/verse An open-source implementation of graph embedding from similarity measures 129
benedekrozemberczki/bane A software implementation of a graph embedding algorithm 86
benedekrozemberczki/musae Implementation of a method for generating node embeddings in graph data with attributed information 159
benedekrozemberczki/m-nmf An implementation of Community Preserving Network Embedding using deep learning and matrix factorization techniques 120
zhengwang100/rect A deep learning framework for graph representation learning with partially labeled data 18