ZZYSonny/PlanE
Implementation of the BasePlanE models and the experiments from the NeurIPS 2023 paper "PlanE: Representation Learning over Planar Graphs"
This project offers tools to help researchers and scientists efficiently analyze and understand complex planar graph structures. It takes in various datasets of planar graphs, such as chemical compounds (QM9CC) or specific structural graphs (P3R), and produces numerical representations or classifications that reveal the underlying structural properties. Researchers in fields like chemistry, materials science, or theoretical computer science would use this for graph-based modeling and analysis.
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Use this if you need to generate complete and scalable representations of planar graphs to detect subtle structural differences or predict properties based on graph topology.
Not ideal if your graphs are not planar or if you require a simple, out-of-the-box solution without experimental setup or model tuning.
Stars
13
Forks
2
Language
Python
License
GPL-3.0
Category
Last pushed
Jan 27, 2024
Commits (30d)
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