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Release paper-frozen CF-SupportNet checkpoints (#1)

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- Release paper-frozen CF-SupportNet checkpoints (33545ca82a737253fbd31edacca201d69edb19e4)

README.md CHANGED
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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: mit
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+ library_name: pytorch
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+ tags:
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+ - digital-twins
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+ - scene-graphs
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+ - robotics
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+ - computer-vision
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+ - graph-neural-network
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+ ---
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+
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+ # CF-SupportNet
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+
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+ CF-SupportNet is the learned edge-scoring component of **MedPhyGraph**
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+ (ECCV 2026 TwinWorld Workshop). It is NOT the full MedPhyGraph
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+ framework by itself: MedPhyGraph also applies deterministic State
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+ Consistency and Union-Based Transition-Aware Consistency (non-learned,
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+ code-only) on top of these scores to produce the final maintained
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+ support graph. See the paper and code at
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+ https://medphygraph.github.io/ for the complete pipeline.
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+
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+ ## Files
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+
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+ - `health_dyphygraph_r1.0_seed0.pt` — primary checkpoint used for all
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+ headline paper results (rho=1.0, seed 0)
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+ - `health_dyphygraph_r1.0_seed{1-4}.pt` — used only for the paper's
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+ multi-seed reproducibility audit; not intended as alternative
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+ production checkpoints
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+
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+ ## Architecture
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+
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+ One-layer GRU (hidden width 64), fusion MLP, 25,409 trainable
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+ parameters. Full training details in the paper, Section 3.4.
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @inproceedings{gholizadeh2026medphygraph,
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+ title={MedPhyGraph: Counterfactual Support-Graph Maintenance for Dynamic Built-Environment Digital Twins},
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+ author={Gholizadeh HamlAbadi, Kamran and Vahdati, Monica and El Saddik, Abdulmotaleb},
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+ booktitle={ECCV 2026 TwinWorld Workshop},
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+ year={2026}
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+ }
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+ ```
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