decagon
Graph predictor
Predicts side effects of drug combinations by learning node embeddings in multimodal graphs using graph convolutional networks
Graph convolutional neural network for multirelational link prediction
452 stars
25 watching
142 forks
Language: Jupyter Notebook
last commit: about 2 years ago
Linked from 1 awesome list
deep-learningembeddingsgraph-convolutional-networksgraph-neural-networkspharmacologyrepresentation-learning
Related projects:
Repository | Description | Stars |
---|---|---|
benedekrozemberczki/attentionwalk | An implementation of a deep learning algorithm to generate node embeddings in graphs | 322 |
benedekrozemberczki/tene | A sparsity-aware implementation of a deep learning algorithm for graph embedding with text information. | 74 |
benedekrozemberczki/role2vec | An implementation of a deep learning-based method for creating vector representations of nodes in a graph | 167 |
mims-harvard/ohmnet | An algorithm for learning feature representations in multi-layer networks | 81 |
benedekrozemberczki/grarep | An implementation of a method for learning graph representations from global structural information in a network | 64 |
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 | 47 |
malllabiisc/wordgcn | A deep learning model that generates word embeddings by predicting words based on their dependency context | 291 |
benedekrozemberczki/gemsec | A reference implementation of graph embedding with clustering using deep learning techniques | 253 |
benedekrozemberczki/sgcn | An implementation of a deep learning algorithm for graph data | 270 |
xgfs/verse | An open-source implementation of graph embedding from similarity measures | 129 |
benedekrozemberczki/bane | A software implementation of a graph embedding algorithm | 87 |
benedekrozemberczki/musae | Implementation of a method for generating node embeddings in graph data with attributed information | 160 |
benedekrozemberczki/m-nmf | An implementation of Community Preserving Network Embedding using deep learning and matrix factorization techniques | 121 |
zhengwang100/rect | A deep learning framework for graph representation learning with partially labeled data | 19 |