chaitjo/gated-graph-transformers
Transformers are Graph Neural Networks!
This project offers a powerful method for predicting overall properties of complex networks, like molecules or social graphs, based on their structure. It takes in graph data, where nodes and connections represent entities and their relationships, and outputs predictions for characteristics of the entire graph. Scientists, engineers, and researchers working with graph-structured data in fields like chemistry or materials science would find this useful.
No commits in the last 6 months.
Use this if you need to classify or predict numerical values for entire graphs based on their intricate connections and node features.
Not ideal if your primary need is to analyze individual nodes or edges within a single graph, rather than characterizing the whole graph.
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54
Forks
7
Language
Python
License
MIT
Category
Last pushed
Dec 27, 2020
Commits (30d)
0
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