https://github.com/XJTU-Graph-Intelligence-Lab/Multi-Track-Message-Passing

Code of MTGCN model for the paper "Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing"
https://github.com/XJTU-Graph-Intelligence-Lab/Multi-Track-Message-Passing

Last synced: 5 months ago
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Code of MTGCN model for the paper "Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing"

• Host: GitHub
• URL: https://github.com/XJTU-Graph-Intelligence-Lab/Multi-Track-Message-Passing
• Owner: XJTU-Graph-Intelligence-Lab
• Created: 2024-07-02T08:46:52.000Z (12 months ago)
• Default Branch: main
• Last Pushed: 2025-01-16T08:20:53.000Z (5 months ago)
• Last Synced: 2025-01-16T09:47:44.860Z (5 months ago)
• Language: Python
• Homepage:
• Size: 34.2 KB
• Stars: 5
• Watchers: 1
• Forks: 1
• Open Issues: 2

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