{"id":20713953,"url":"https://github.com/midas-research/sthgcn-icdm","last_synced_at":"2025-10-13T15:04:53.717Z","repository":{"id":104344800,"uuid":"336801168","full_name":"midas-research/sthgcn-icdm","owner":"midas-research","description":"Code for Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting","archived":false,"fork":false,"pushed_at":"2021-06-13T15:41:25.000Z","size":15,"stargazers_count":41,"open_issues_count":3,"forks_count":5,"subscribers_count":8,"default_branch":"main","last_synced_at":"2025-04-23T08:11:25.958Z","etag":null,"topics":["hypergraph","spatio-temporal"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/midas-research.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2021-02-07T14:03:41.000Z","updated_at":"2025-04-07T19:19:57.000Z","dependencies_parsed_at":"2023-07-07T09:15:57.230Z","dependency_job_id":null,"html_url":"https://github.com/midas-research/sthgcn-icdm","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/midas-research/sthgcn-icdm","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/midas-research%2Fsthgcn-icdm","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/midas-research%2Fsthgcn-icdm/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/midas-research%2Fsthgcn-icdm/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/midas-research%2Fsthgcn-icdm/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/midas-research","download_url":"https://codeload.github.com/midas-research/sthgcn-icdm/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/midas-research%2Fsthgcn-icdm/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":273272560,"owners_count":25075985,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-09-02T02:00:09.530Z","response_time":77,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["hypergraph","spatio-temporal"],"created_at":"2024-11-17T02:28:16.131Z","updated_at":"2025-10-05T22:51:45.295Z","avatar_url":"https://github.com/midas-research.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting\n\nThis codebase contains the python scripts for STHGCN, the model for the ICDM 2020 paper [link](https://ieeexplore.ieee.org/document/9338303).\n\n## Environment \u0026 Installation Steps\nPython 3.6, Pytorch, Pytorch-Geometric and networkx.\n\n## Dataset and Preprocessing \n\nDownload the dataset and follow preprocessing steps from [here](https://github.com/dmis-lab/hats). \n```bash\nbash download.sh\n```\n\n## Run\n\nExecute the following python command to train STHGCN: \n```bash\nmake test_phase=1 save_dir=save\n```\ntest_phase : phase that you want to test\n\n## Cite\nConsider citing our work if you use our codebase\n\n```c\n@INPROCEEDINGS{9338303,  author={Sawhney, Ramit and Agarwal, Shivam and Wadhwa, Arnav and Shah, Rajiv Ratn},  booktitle={2020 IEEE International Conference on Data Mining (ICDM)},   title={Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting},   year={2020},  volume={},  number={},  pages={482-491},  doi={10.1109/ICDM50108.2020.00057}}\n```\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmidas-research%2Fsthgcn-icdm","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmidas-research%2Fsthgcn-icdm","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmidas-research%2Fsthgcn-icdm/lists"}