{"id":20859456,"url":"https://github.com/vndee/sentrec","last_synced_at":"2026-04-25T10:34:26.957Z","repository":{"id":98802666,"uuid":"360430519","full_name":"vndee/sentrec","owner":"vndee","description":"Sentiment Graph for Product Recommendation","archived":false,"fork":false,"pushed_at":"2021-08-02T17:35:15.000Z","size":225,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-12-26T21:54:17.277Z","etag":null,"topics":["amazon-fine-food-reviews-dataset","deep-learning","graph-representation-learning","recommendation-system"],"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/vndee.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":"2021-04-22T07:29:19.000Z","updated_at":"2021-11-18T04:25:43.000Z","dependencies_parsed_at":"2023-03-06T09:45:22.147Z","dependency_job_id":null,"html_url":"https://github.com/vndee/sentrec","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/vndee/sentrec","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vndee%2Fsentrec","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vndee%2Fsentrec/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vndee%2Fsentrec/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vndee%2Fsentrec/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/vndee","download_url":"https://codeload.github.com/vndee/sentrec/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vndee%2Fsentrec/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32259472,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-25T09:15:33.318Z","status":"ssl_error","status_checked_at":"2026-04-25T09:15:31.997Z","response_time":59,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["amazon-fine-food-reviews-dataset","deep-learning","graph-representation-learning","recommendation-system"],"created_at":"2024-11-18T04:49:55.904Z","updated_at":"2026-04-25T10:34:26.937Z","avatar_url":"https://github.com/vndee.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"### Sentiment Graph for Product Recommendation System\n\n#### Loader:\n\n- [x] Load un-directed graph from [Amazon Fine Food Reviews Dataset](https://snap.stanford.edu/data/web-FineFoods.html).\n\n#### Backbone:\n\n- [x] GCN\n- [x] SAGE\n- [x] R-GCN  \n- [x] SEAL\n\n#### TODO:\n\n- [ ] Prepare dataset (load, preprocess, dump).\n- [ ] Fine-tuning pre-trained Transformers model for reviews rating prediction. \n\n\n#### Experiment\n\n\u003cp align=\"center\"\u003e\n\n| Variant  | MSE |\n|----------|-----|\n| Baseline |     |\n| GCN      |     |\n| RGCN     |     |\n| SAGE     |     |\n| SEAL     |     |\n\n\u003c/p\u003e\n\n#### References\n\n- Zhang, M., \u0026 Chen, Y. (2018). **Link Prediction Based on Graph Neural Networks.** NeurIPS.\n- Zhang, M., Li, P., Xia, Y., Wang, K., \u0026 Jin, L. (2020). **Revisiting Graph Neural Networks for Link Prediction.** ArXiv, abs/2010.16103.\n- Schlichtkrull, M., Kipf, T., Bloem, P., Berg, R.V., Titov, I., \u0026 Welling, M. (2018). **Modeling Relational Data with Graph Convolutional Networks.** ESWC.\n- Chiang, W., Liu, X., Si, S., Li, Y., Bengio, S., \u0026 Hsieh, C. (2019). **Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks.** Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery \u0026 Data Mining.\n- Zeng, H., Zhou, H., Srivastava, A., Kannan, R., \u0026 Prasanna, V. (2020). **GraphSAINT: Graph Sampling Based Inductive Learning Method.** ArXiv, abs/1907.04931.\n- Hamilton, W.L., Ying, Z., \u0026 Leskovec, J. (2017). **Inductive Representation Learning on Large Graphs.** NIPS.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvndee%2Fsentrec","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvndee%2Fsentrec","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvndee%2Fsentrec/lists"}