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graphist-v2

Graph Machine Learning
PyTorch
graph-neural-networks
histopathology
self-supervised-learning
pytorch-geometric
graph-representation-learning
edge-features
Model card Files
xet
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graphist-v2 / studies

Commit History

  1. Move analysis and pipeline code to the code repository; keep the model, its loader, the data and the docs

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  2. Remove hardcoded paths from src_at_ef0b17d.tar

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  3. Remove hardcoded paths from src_at_9d74e93.tar

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  4. Replace hardcoded paths with placeholders: pooled_edge_homophily.json

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  5. Replace hardcoded paths with placeholders: compute_pooled_edge_homophily.py

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  6. Replace hardcoded paths with placeholders: run_cellvit_pipeline.sh

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  7. Replace hardcoded paths with placeholders: fat_tail_followup.py

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  8. Replace hardcoded paths with placeholders: run_fullregen.sh

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  9. Replace hardcoded paths with placeholders: nucls_super_source_args.json

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  10. Replace hardcoded paths with placeholders: run_optuna_repro.sh

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  11. Replace hardcoded paths with placeholders: commands.txt

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  12. Remove internal reproduction notes; their content is now in DATA.md

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  13. Restructure: move batch 10/30

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  14. Restructure: move batch 9/30

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