gasteigerjo/gtn

Graph transport network (GTN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More" (ICML 2021)

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Emerging

This project helps researchers and data scientists compare complex networks or analyze how different datasets relate to each other when they are represented as graphs. You input two graphs or sets of graph-based data, and it outputs a measure of their similarity or an aligned representation. This is useful for anyone working with interconnected data, such as in biology, social sciences, or machine learning research.

No commits in the last 6 months.

Use this if you need to efficiently calculate distances between large graphs or align graph embeddings where traditional methods are too slow.

Not ideal if you are looking for a simple graph visualization tool or a library for basic graph traversal algorithms.

graph-analysis data-alignment network-comparison machine-learning-research computational-biology
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 14 / 25

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3

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Jupyter Notebook

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Last pushed

Apr 26, 2023

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