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EAGNN

imported

software/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.

EAGNN project image
GitHub preview card for aravi11/EAGNN. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
GPL-3.0(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
ai-healthcare · cell-graphs · digital-pathology · edge-detection · gnn-learning · graph-neural-networks · tissue-analysis
Regulatory
unknown
built by · 1

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.

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sources
  1. api.github.com/repos/aravi11/EAGNN
    retrieved 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 →

machine-readable

/v1/entries/8.json→ .entries["eagnn"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.