{"id":22582464,"url":"https://github.com/paccmann/paccmann_polymer","last_synced_at":"2026-05-16T01:34:19.469Z","repository":{"id":47001617,"uuid":"301678256","full_name":"PaccMann/paccmann_polymer","owner":"PaccMann","description":"Graph-regularized VAE and the impact of topology on learned representations","archived":false,"fork":false,"pushed_at":"2021-09-17T22:22:34.000Z","size":79,"stargazers_count":2,"open_issues_count":0,"forks_count":1,"subscribers_count":6,"default_branch":"master","last_synced_at":"2025-02-02T17:21:50.203Z","etag":null,"topics":["deep-learning","gnn","graph-regularized-vae","manifold-learning","pytorch","vae"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/PaccMann.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2020-10-06T09:36:17.000Z","updated_at":"2024-10-08T23:39:19.000Z","dependencies_parsed_at":"2022-09-24T20:20:26.655Z","dependency_job_id":null,"html_url":"https://github.com/PaccMann/paccmann_polymer","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/PaccMann%2Fpaccmann_polymer","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PaccMann%2Fpaccmann_polymer/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PaccMann%2Fpaccmann_polymer/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PaccMann%2Fpaccmann_polymer/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/PaccMann","download_url":"https://codeload.github.com/PaccMann/paccmann_polymer/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246068283,"owners_count":20718501,"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":["deep-learning","gnn","graph-regularized-vae","manifold-learning","pytorch","vae"],"created_at":"2024-12-08T06:10:18.851Z","updated_at":"2026-05-16T01:34:14.422Z","avatar_url":"https://github.com/PaccMann.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"[![Build Status](https://github.com/PaccMann/paccmann_polymer/actions/workflows/build.yml/badge.svg)](https://github.com/PaccMann/paccmann_polymer/actions/workflows/build.yml)\n\n# paccmann_polymer\n\nPyTorch implementation of `paccmann_polymer`. Repo for the paper:\n*On the Importance of Looking at the Manifold*.\n\n## Requirements\n\n- `conda\u003e=3.7`\n\n## Installation\n\nThe library itself has few dependencies (see [setup.py](setup.py)) with loose requirements.\n\nCreate a conda environment:\n\n```console\nconda env create -f conda.yml\n```\n\nActivate the environment:\n\n```console\nconda activate paccmann_polymer\n```\n\nInstall in editable mode for development:\n\n```console\npip install -e .\n```\n\nInstall a kernel for the newly created environment:\n\n```console\nipython kernel install --name \"paccmann_polymer\"\n```\n\n## Experiments\n\nTo reproduce the experiments from the paper, check\n`paccmann_polymer/topologically_regularized_models/experiments`.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpaccmann%2Fpaccmann_polymer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpaccmann%2Fpaccmann_polymer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpaccmann%2Fpaccmann_polymer/lists"}