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.
- ai-healthcare-appai-healthcare
:four_leaf_clover: Healthcare AI agent app that combines medical records with AI-assisted conversations
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A deep learning framework for automated diagnosis of Diabetic Retinopathy, AMD, and Glaucoma using a Hybrid Attention-CNN model. Combines ResNet50 with self-attention for enhanced accuracy and…
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Real-ESRGAN model deployed on Android using NCNN (C++/JNI) and ExecuTorch (Java) for real-time image super-resolution in dermatology, with reproducible benchmarking (PSNR, SSIM, MSE, LPIPS).
- Back2Futuregraph-neural-networks
Link to Back2Future code.
- CACHEgraph-neural-networks
[ML4H 2022] This is the code for our paper `Counterfactual and Factual Reasoning over Hypergraphs for Interpretable Clinical Predictions on EHR'.
- dancegraph-neural-networks
DANCE: a deep learning library and benchmark platform for single-cell analysis
- 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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