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Haichen Wang Research Group 15
Aug 21 22:06 feat: add restartable sharded graph preparation 22:06 feat: add restartable sharded graph preparation 21:55 feat: add ttH CP parity benchmark configuration 21:38 feat: add initial root transformer model 21:30 perf: parallelize deterministic graph preparation 21:24 chore: remove obsolete legacy workspace plumbing 19:58 docs: protect paper README 19:57 docs: add package and agent workflow guides 19:51 Remove historical implementation from active tree 19:27 Document frozen ROOT-GNN parity baseline 19:18 Add binary CP parity validation runners Aug 20 18:54 Add legacy pretrained checkpoints Aug 19 20:46 docs: add Codex and Claude workflow skill 20:43 PR 2 — Portable Public End-to-End Validation Fixture (#11 ) - validation: use pinned public Hugging Face fixture (528346c0a2dcf57bc6f47e0e929113ae0f5ec47a)
- data: resolve training sources from Hugging Face (02920c2576f35911f7068c0379c06585ae9c8b57) 18:31 docs: normalize inline notation in model card 18:22 docs: normalize model card ending 18:22 docs: clean model card formatting artifacts 18:18 docs: fix Hugging Face model card rendering 18:16 docs: add Hugging Face model card based on paper (#9 ) - docs: add Hugging Face model card (196e2e82ecc61b8fb16ce65877e43ec6126113b3)
- docs: reproduce paper in model card (76eff8f0d9f97c4952f8a8ad79ebf84c7f9b22b6)
- docs: preserve paper author affiliations (7f136d97ab4e8589ef03ffa8c9691875cbb3aa7c) 17:52 ci: support macOS core development (#8 ) - ci: support macOS core development (3efae5d9927adbcf425c4e070c43e49f3914f1cf)
- test: sort validation artifact imports (09017da62dfb13b4c6cdc34fe4542b857cb89a6c)
- test: isolate legacy DGL shim (0b48d9cb6ff536f40a7e271d3be43d5d7b215039)
- deps: enable DGL for Apple Silicon (64efda9acf92ec91d505718393c2b4ca7b516e2c)
- feat: add portable PyTorch ROOT-GNN backend (63628a2cc4f52362bbac279aa2262a18e62bd488)
- test: exercise trainer optimizer on MPS (d831167ddf326a2f33d1e43750c18a8841ebf13a)
- docs: document Hugging Face data samples (5f3dd145a990babba47d4a7408ea7a62931c3891) 17:16 rewriting codebase (#7 ) - Set up migration project structure (082be018b82c5d36082abd11348e15cc0e2c7a80)
- Document root GNN architecture and migration (a76eccda4456b334cc1ec74fa34c06b59a6b3851)
- chore: set up development environment and tooling (05bbd9c0946750c685169e934fd9d344e2561d85)
- chore: target Python 3.12 (3c84acce43ec0cd168654b6a82103a76eecae313)
- feat: implement shared collider feature construction (a61ae40286983e03233e6ae632886d40a87f4910)
- feat: implement ROOT-GNN graph construction (df4e400136516462fa824f06103788969621ead0)
- feat: implement ROOT event data ingestion (565354b95f235844990bdd8f47487f4abfa92603)
- feat: add Hydra configuration and CLI workflows (7997c78b672579ae008f362ea582e464e6f23ae0)
- perf: profile and optimize ROOT-GNN execution (9dcd2b7f88e94da0e57539affd58521e5c6306fd)
- feat: make Hydra configs installable (cbbff50f401079c69990a7590edda79d7aff15e3)
- build: harden packaging and release validation (d5cfbf068eda872a325955f30a5f82d49a4e023b)
- ci: add package and runtime sm… Aug 18 17:47 adding delphes configs, improved parallism in graph processing Aug 17 17:45 adding multiclass pretrained model Jul 15 21:27 fixing error when no selections applied 21:27 making job submission and scripts more general, removing hard coded paths 21:26 updating codex skills Jul 7 17:49 fixing inference script corrupting vector branches in ntuples Jun 24 17:40 improved randomness in dataset shuffling Jun 12 18:12 adding onnx model export scripts Jun 10 21:12 implemented preselections inside config 18:08 adding pretrained model to repo 18:03 updating configs Jun 2 17:25 Update README.md 17:18 Update README.md 17:15 Update README.md Mar 25 19:09 adding codex skills Mar 20 18:57 updated training job submission scripts Feb 10 23:50 fixing datatype issue in graph creating Feb 4 07:45 Upload training_time.png 07:41 updated README 06:42 fixing inference 00:12 model card Feb 3 23:58 model card 23:31 testing demo Aug 15, 2025 17:48 adding edge network Aug 14, 2025 17:26 working physicsnemo Jul 30, 2025 19:42 updated dataset class Jul 18, 2025 18:50 working training script root
17:40 working physicsnemo training script 
