{"id":19979278,"url":"https://github.com/edisonleeeee/graphssm","last_synced_at":"2025-09-19T19:32:30.242Z","repository":{"id":245394460,"uuid":"818121584","full_name":"EdisonLeeeee/GraphSSM","owner":"EdisonLeeeee","description":"[NeurIPS 2024] State Space Models on Temporal Graphs: A First-Principles 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align=\"center\"\u003e\n\u003ch1\u003e 🐍GraphSSM (Graph State Space Models)\u003c/h1\u003e\n\u003ch3\u003eState Space Models on Temporal Graphs: A First-Principles Study\u003c/h3\u003e\n\nJintang Li\u003csup\u003e1\u003c/sup\u003e, Ruofan Wu\u003csup\u003e2\u003c/sup\u003e, Boqun Ma\u003csup\u003e3\u003c/sup\u003e, Xinzhou Jin\u003csup\u003e1\u003c/sup\u003e, Liang Chen\u003csup\u003e1\u003c/sup\u003e, Zibin Zheng\u003csup\u003e1\u003c/sup\u003e\n\n\u003csup\u003e1\u003c/sup\u003eSun Yat-sen University, \u003csup\u003e2\u003c/sup\u003eCoupang, \u003csup\u003e3\u003c/sup\u003eShanghai Jiao Tong University\n \n\n[![arXiv](https://img.shields.io/badge/arXiv-2406.00943-b31b1b.svg)](https://arxiv.org/abs/2406.00943)\n\n\u003c/div\u003e\n\n## Environments\n\u003e [!NOTE]\n\u003e Higher versions should be also compatible.\n\n```\nconda create -n GraphSSM python=3.10\nconda activate GraphSSM\n\npip install torch==2.2.2 torchvision==0.17.2 torchaudio==2.2.2 --index-url https://download.pytorch.org/whl/cu121\npip install torch_geometric\npip install pyg_lib torch_scatter torch_sparse torch_cluster torch_spline_conv -f https://data.pyg.org/whl/torch-2.2.0+cu121.html\n\npip install -r requirements.txt\n```\n\n## Reproduction\n\n```\nbash scripts/s4.sh\nbash scripts/s5.sh\nbash scripts/s6.sh\n```\n\n## Citation\nIf you find this repository useful in your research, please consider giving a star ⭐ and a citation\n\n```bib\n@inproceedings{graphssm,\n  author       = {Jintang Li and\n                  Ruofan Wu and\n                  Xinzhou Jin and\n                  Boqun Ma and\n                  Liang Chen and\n                  Zibin Zheng},\n  title        = {State Space Models on Temporal Graphs: {A} First-Principles Study},\n  booktitle    = {NeurIPS},\n  year         = {2024}\n}\n```\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fedisonleeeee%2Fgraphssm","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fedisonleeeee%2Fgraphssm","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fedisonleeeee%2Fgraphssm/lists"}