Back2Future

Category

Software & Systems

Subcategory

unknown

License

MIT(osi)

Status

dormant

Maturity

deployed

Organization

AdityaLab

Country

unknown

Homepage

unknown

Repository

github.com/AdityaLab/Back2Future

Documentation

unknown

Tags

deep-learning · epidemiology · graph-neural-networks

Regulatory

unknown

• kage08

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.

• 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

• EAGNNgraph-neural-networks

  Official PyTorch Implementation of paper 'Edge-Based Graph Neural Networks for Cell-Graph Modeling and Prediction'

• GNN_for_EHRgraph-neural-networks

  Code for "Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease"

• histocartographygraph-neural-networks

  A standardized Python API with necessary preprocessing, machine learning and explainability tools to facilitate graph-analytics in computational pathology.

• SLATgraph-neural-networks

  Spatial-Linked Alignment Tool

1. api.github.com/repos/AdityaLab/Back2Future
   retrieved 2026-08-05 · via github-api

   Machine-imported from GitHub search. Last push 2022-02-23, 7 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

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