{"id":13481188,"url":"https://github.com/yuj-umd/graphRNN","last_synced_at":"2025-03-27T11:31:56.345Z","repository":{"id":217670469,"uuid":"134104241","full_name":"yuj-umd/graphRNN","owner":"yuj-umd","description":"Codes for the paper \"Learning Graph-Level Representations with Gated Recurrent Neural Networks\"","archived":false,"fork":false,"pushed_at":"2019-02-11T04:53:20.000Z","size":13517,"stargazers_count":29,"open_issues_count":1,"forks_count":5,"subscribers_count":3,"default_branch":"master","last_synced_at":"2024-10-30T14:43:36.330Z","etag":null,"topics":[],"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/yuj-umd.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":"2018-05-19T23:07:42.000Z","updated_at":"2024-10-11T01:48:19.000Z","dependencies_parsed_at":null,"dependency_job_id":"1904fa25-7fad-41a3-bad5-3fbbdf8204c4","html_url":"https://github.com/yuj-umd/graphRNN","commit_stats":null,"previous_names":["yuj-umd/graphrnn"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yuj-umd%2FgraphRNN","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yuj-umd%2FgraphRNN/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yuj-umd%2FgraphRNN/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yuj-umd%2FgraphRNN/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/yuj-umd","download_url":"https://codeload.github.com/yuj-umd/graphRNN/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245836254,"owners_count":20680340,"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":[],"created_at":"2024-07-31T17:00:49.545Z","updated_at":"2025-03-27T11:31:56.339Z","avatar_url":"https://github.com/yuj-umd.png","language":"Python","funding_links":[],"categories":["Deep Learning"],"sub_categories":[],"readme":"# GraphRNN\nCodes for the paper \"Learning Graph-Level Representations with Gated Recurrent Neural Networks\". (https://arxiv.org/pdf/1805.07683.pdf)\n\n# 1. Setup\n\nGet the source code,\n\n    git clone https://github.com/yuj-umd/graphRNN.git\n\nInstall pytorch from https://pytorch.org/\n\n# 2. Usage\n\nRun\n\n    python main.py \\\n            -seed 1 \\\n\t\t-data $data \\\n\t\t-learning_rate $learning_rate \\\n\t\t-num_epochs $num_epochs \\\n\t\t-hidden $hidden \\\n\t\t-fold $fold \\\n\t\t-embedding_dim $embedding_dim \\\n\t\t-rnn_hidden_dim $rnn_hidden_dim \n\nParamaters are defined as\n\n    data: MUTAG, NCI1, NCI109, DD, ENZYMES\n    feat_dim: Number of node labels\n    embedding_dim: Dimension of node embedding\n    num_class: Number of graph classes\n    rnn_hidden_dim: Hidden unit size of RNN\n    learning_rate: initial learning_rate\n\n\n\n# 3. Reference\n    @article{jin2018learning,\n        title={Learning Graph-Level Representations with Gated Recurrent Neural Networks},\n        author={Jin, Yu and JaJa, Joseph F},\n        journal={arXiv preprint arXiv:1805.07683},\n        year={2018}\n     }\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyuj-umd%2FgraphRNN","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fyuj-umd%2FgraphRNN","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyuj-umd%2FgraphRNN/lists"}