benedekrozemberczki/graph2vec
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
This project helps scientists, researchers, or anyone working with complex network data analyze entire graphs. You provide a folder of graph structures (like molecular diagrams, social networks, or brain connectivity maps), and it generates fixed-length numerical descriptions for each graph. These descriptions allow you to compare, classify, or cluster whole graphs, rather than just individual parts.
933 stars. No commits in the last 6 months.
Use this if you need to represent entire graphs as numerical vectors for tasks like classification or clustering, and you want an automated, data-driven approach instead of handcrafted features.
Not ideal if your primary goal is to analyze individual nodes or substructures within a single graph, rather than comparing and categorizing whole graphs.
Stars
933
Forks
168
Language
Python
License
GPL-3.0
Category
Last pushed
Nov 06, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/benedekrozemberczki/graph2vec"
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