Zehong-Wang/GPM
Beyond Message Passing: Neural Graph Pattern Machine, ICML 2025
This tool helps researchers and data scientists analyze complex network data by identifying and learning from distinct substructures or patterns within the graph. It takes raw graph data (like social networks, citation networks, or biological networks) and outputs classifications for nodes, predictions for links, or categorizations for entire graphs. Individuals working with graph-structured data in research or advanced analytics would find this useful.
No commits in the last 6 months.
Use this if you need to perform advanced analytics like classifying nodes, predicting relationships, or categorizing entire graphs and believe that individual graph patterns, rather than simple connections, hold crucial information.
Not ideal if you are a business user or practitioner without a strong background in graph neural networks or machine learning, as this is a research-focused development tool.
Stars
12
Forks
3
Language
Python
License
MIT
Category
Last pushed
May 28, 2025
Commits (30d)
0
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