{"id":20208385,"url":"https://github.com/hfrost0/tgc_torch","last_synced_at":"2025-04-10T12:56:25.657Z","repository":{"id":107729108,"uuid":"271566752","full_name":"HFrost0/TGC_torch","owner":"HFrost0","description":"A Pytorch implementation of paper \"Temporal Relational Ranking for Stock Prediction\"","archived":false,"fork":false,"pushed_at":"2022-04-13T02:57:50.000Z","size":28255,"stargazers_count":44,"open_issues_count":1,"forks_count":7,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-24T11:44:56.562Z","etag":null,"topics":["implementation","pytorch","stock-price-prediction"],"latest_commit_sha":null,"homepage":"https://arxiv.org/pdf/1809.09441.pdf","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/HFrost0.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}},"created_at":"2020-06-11T14:24:13.000Z","updated_at":"2025-02-28T13:48:11.000Z","dependencies_parsed_at":"2023-06-08T21:00:27.957Z","dependency_job_id":null,"html_url":"https://github.com/HFrost0/TGC_torch","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HFrost0%2FTGC_torch","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HFrost0%2FTGC_torch/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HFrost0%2FTGC_torch/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HFrost0%2FTGC_torch/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/HFrost0","download_url":"https://codeload.github.com/HFrost0/TGC_torch/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248222406,"owners_count":21067776,"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","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":["implementation","pytorch","stock-price-prediction"],"created_at":"2024-11-14T05:35:22.110Z","updated_at":"2025-04-10T12:56:25.647Z","avatar_url":"https://github.com/HFrost0.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# TGC_torch\nA Pytorch implementation of the paper [Temporal Relational Ranking for Stock Prediction](https://arxiv.org/abs/1809.09441).\nThe officical tensorflow implementation is [here](https://github.com/fulifeng/Temporal_Relational_Stock_Ranking)\n# requirements\nPython\u003e=3.6 and torch\u003e=1.3\n# Run the code\nOnce you download the data that provided by [link](https://github.com/fulifeng/Temporal_Relational_Stock_Ranking), put the files to the ```data``` folder, and then run the ```train.py``` to train a RelationLSTM using TGC.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhfrost0%2Ftgc_torch","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhfrost0%2Ftgc_torch","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhfrost0%2Ftgc_torch/lists"}