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Ace3Z
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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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1
graphist-v2

Commit History

Mirror upstream v1 TCGA-BRCA: data/graph-data-000030.tar
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Mirror upstream v1 TCGA-BRCA: data/graph-data-000029.tar
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Mirror upstream v1 TCGA-BRCA: data/graph-data-000028.tar
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Mirror upstream v1 TCGA-BRCA: data/graph-data-000027.tar
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Mirror upstream v1 TCGA-BRCA: data/graph-data-000026.tar
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Mirror upstream v1 TCGA-BRCA: data/graph-data-000025.tar
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Mirror upstream v1 TCGA-BRCA: data/graph-data-000024.tar
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Mirror upstream v1 TCGA-BRCA: data/graph-data-000023.tar
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Mirror upstream v1 TCGA-BRCA: data/graph-data-000022.tar
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Mirror upstream v1 TCGA-BRCA: data/graph-data-000021.tar
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Mirror upstream v1 TCGA-BRCA: data/graph-data-000020.tar
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Mirror upstream v1 TCGA-BRCA: data/graph-data-000019.tar
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Mirror upstream v1 TCGA-BRCA: data/graph-data-000018.tar
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Mirror upstream v1 TCGA-BRCA: data/graph-data-000017.tar
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Mirror upstream v1 TCGA-BRCA: data/graph-data-000016.tar
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Mirror upstream v1 TCGA-BRCA: data/graph-data-000015.tar
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Mirror upstream v1 TCGA-BRCA: data/graph-data-000014.tar
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Mirror upstream v1 TCGA-BRCA: data/graph-data-000013.tar
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Mirror upstream v1 TCGA-BRCA: data/graph-data-000012.tar
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Mirror upstream v1 TCGA-BRCA: data/graph-data-000011.tar
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Mirror upstream v1 TCGA-BRCA: data/graph-data-000010.tar
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Mirror upstream v1 TCGA-BRCA: data/graph-data-000009.tar
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List preproc_final and homophily_bach_cellvit in the repository tree
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Document preproc_final (Table C.8 redo) and the upstream v1 TCGA mirror
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Mirror upstream v1 TCGA-BRCA: data/graph-data-000008.tar
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Mirror upstream v1 TCGA-BRCA: data/graph-data-000007.tar
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Mirror upstream v1 TCGA-BRCA: data/graph-data-000006.tar
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Mirror upstream v1 TCGA-BRCA: data/graph-data-000005.tar
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Mirror upstream v1 TCGA-BRCA: data/graph-data-000004.tar
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Mirror upstream v1 TCGA-BRCA: data/graph-data-000003.tar
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Mirror upstream v1 TCGA-BRCA: data/graph-data-000002.tar
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Mirror upstream v1 TCGA-BRCA: data/graph-data-000001.tar
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Mirror upstream v1 TCGA-BRCA: README.md
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Mirror upstream v1 TCGA-BRCA: .gitattributes
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Add preproc_final: the Table C.8 preprocessing-runtime run on 19,200 BACH patches
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Mirror upstream v1 TCGA-BRCA shard 0
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Record that all four vicreg_full checkpoints are weight-identical
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Fix SPIDER repro command, disclose class-selective patch drop, add SPIDER attribution
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Name the single missing NuCLS embedding; note verified BRACS member total
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Document the regenerated BACH CellViT pseudo-labels and their validation
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Add the fat-tail summary computed from the regenerated pseudo-labels
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Add regenerated BACH per-image CellViT pseudo-labels (400 images, 538,421 cells) - required by bach_fattail_cellvit.py
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Document SPIDER-breast and the verified checkpoint-to-embeddings link
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Remove macOS AppleDouble sidecars from the SPIDER shard upload
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Add SPIDER-breast v2 graphs (71,745 patches, 18 shards) - backs ICLR Table 4 breast 63.15
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SPIDER-breast: add sample_labels_rich.csv
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SPIDER-breast: add metadata.csv
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SPIDER-breast: add sample_labels.csv
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SPIDER-breast: add sample_split.csv
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SPIDER-breast: add normalization.json
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