Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)
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Updated
Apr 14, 2020 - Python
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)
GPU implementation of GCN (Graph Convolutional Networks)
Code for both the IEEE Big Data 2017 Paper: Evaluating the quality of graph embeddings via topological feature reconstruction and the Springer Data Science and Engineering paper: Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study
Network representation learning technique using structure and attributes of information networks.
DAOR Parameter-free Embedding Framework for Large Graphs (Networks)
Implementation and visualization of the TransE algorithm
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