Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations"
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Updated
Sep 19, 2019 - Python
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations"
A knowledge graph containing 5 million research papers. Uses: compute Erdős numbers, rank influence of cities on research areas, detect whether researchers with the same name are the same person.
Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"
Momentum Graph Contrastive Learning
Embedding graph in metric spaces
DeepWalk - Deep Learning for Graphs
ImVerde: Vertex-Diminished Random Walk for Learning Imbalanced Network Representation
An implementation of node2vec algorithm
Python wrapper to 'SGtSNEpi.jl'
A link prediction project which can predict user relationship.
Code the Big Data 2018 Paper: Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning
Implementation of classic papers in the field of Graph Network
Simple algorithm for generating graph nodes embeddings
Learning to Count Isomorphisms with Graph Neural Networks
Inverstigate different graph embedding algorithms
🎓 Обучающая программная система по теории планарных графов.
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