EAGNN
importedsoftware/eagnn
Official PyTorch Implementation of paper 'Edge-Based Graph Neural Networks for Cell-Graph Modeling and Prediction'
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/aravi11/EAGNN
- Documentation
- unknown
- Tags
- ai-healthcare · cell-graphs · digital-pathology · edge-detection · gnn-learning · graph-neural-networks · tissue-analysis
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
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- api.github.com/repos/aravi11/EAGNNretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-05-05, 3 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/8.json→ .entries["eagnn"]
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