{"id":13535480,"url":"https://github.com/MichSchli/RelationPrediction","last_synced_at":"2025-04-02T01:31:09.764Z","repository":{"id":41377474,"uuid":"67793927","full_name":"MichSchli/RelationPrediction","owner":"MichSchli","description":"Implementation of R-GCNs for Relational Link Prediction","archived":false,"fork":false,"pushed_at":"2023-03-24T16:28:10.000Z","size":24219,"stargazers_count":439,"open_issues_count":15,"forks_count":103,"subscribers_count":10,"default_branch":"master","last_synced_at":"2024-11-02T23:32:53.443Z","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":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/MichSchli.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,"governance":null}},"created_at":"2016-09-09T11:34:37.000Z","updated_at":"2024-10-30T15:27:10.000Z","dependencies_parsed_at":"2022-08-25T11:40:38.024Z","dependency_job_id":"845d6199-e8d2-43c2-b601-04ed2a28945e","html_url":"https://github.com/MichSchli/RelationPrediction","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/MichSchli%2FRelationPrediction","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MichSchli%2FRelationPrediction/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MichSchli%2FRelationPrediction/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MichSchli%2FRelationPrediction/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/MichSchli","download_url":"https://codeload.github.com/MichSchli/RelationPrediction/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246738537,"owners_count":20825796,"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":"2024-08-01T08:00:57.089Z","updated_at":"2025-04-02T01:31:06.444Z","avatar_url":"https://github.com/MichSchli.png","language":"Python","readme":"# Graph Convolutional Networks for Relational Link Prediction\n\nThis repository contains a TensorFlow implementation of Relational Graph Convolutional Networks (R-GCN), as well as experiments on relational link prediction. The description of the model and the results can be found in our paper:\n\n[Modeling Relational Data with Graph Convolutional Networks](https://arxiv.org/abs/1703.06103). Michael Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, Max Welling (ArXiv 2017)\n\n**Requirements**\n\n* TensorFlow (1.4)\n\n**Running demo**\n\nWe provide a bash script to run a demo of our code. In the folder *settings*, a collection of configuration files can be found. The block diagonal model used in our paper is represented through the configuration file *settings/gcn_block.exp*. To run a given experiment, execute our bash script as follows:\n\n```\nbash run-train.sh \\[configuration\\]\n```\n\nWe advise that training can take up to several hours and require a significant amount of memory.\n\n**Citation**\n\nPlease cite our paper if you use this code in your own work:\n\n```\n@inproceedings{schlichtkrull2018modeling,\n  title={Modeling relational data with graph convolutional networks},\n  author={Schlichtkrull, Michael and Kipf, Thomas N and Bloem, Peter and {van den Berg}, Rianne and Titov, Ivan and Welling, Max},\n  booktitle={The Semantic Web: 15th International Conference, ESWC 2018, Heraklion, Crete, Greece, June 3--7, 2018, Proceedings 15},\n  pages={593--607},\n  year={2018},\n  organization={Springer}\n}\n```\n","funding_links":[],"categories":["Knowledge Graph:","Python","图卷积网络"],"sub_categories":["网络服务_其他"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FMichSchli%2FRelationPrediction","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FMichSchli%2FRelationPrediction","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FMichSchli%2FRelationPrediction/lists"}