{"id":21280653,"url":"https://github.com/borgwardtlab/graphhopper-kernels","last_synced_at":"2025-06-13T22:06:46.177Z","repository":{"id":69455217,"uuid":"70807995","full_name":"BorgwardtLab/graphhopper-kernels","owner":"BorgwardtLab","description":"Scalable kernels for graphs with continuous attributes (Feragen et al., NIPS 2013) http://goo.gl/VxSfzZ","archived":false,"fork":false,"pushed_at":"2016-10-14T12:19:57.000Z","size":3874,"stargazers_count":5,"open_issues_count":1,"forks_count":3,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-03-15T14:11:38.138Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"Matlab","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/BorgwardtLab.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":"2016-10-13T13:13:57.000Z","updated_at":"2021-01-24T00:19:40.000Z","dependencies_parsed_at":"2023-03-11T06:07:08.775Z","dependency_job_id":null,"html_url":"https://github.com/BorgwardtLab/graphhopper-kernels","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/BorgwardtLab/graphhopper-kernels","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BorgwardtLab%2Fgraphhopper-kernels","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BorgwardtLab%2Fgraphhopper-kernels/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BorgwardtLab%2Fgraphhopper-kernels/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BorgwardtLab%2Fgraphhopper-kernels/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/BorgwardtLab","download_url":"https://codeload.github.com/BorgwardtLab/graphhopper-kernels/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BorgwardtLab%2Fgraphhopper-kernels/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":259727132,"owners_count":22902181,"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":"2024-11-21T10:38:07.833Z","updated_at":"2025-06-13T22:06:46.152Z","avatar_url":"https://github.com/BorgwardtLab.png","language":"Matlab","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Scalable kernels for graphs with continuous attributes\n\n## Code\n\nA MATLAB implementation of the GraphHopper kernel as proposed in [1]. An implementation of the propagation kernel as presented in [2] is also included. Installation instructions are below.\n\n[1] A. Feragen, N. Kasenburg, J. Petersen, M. de Bruijne a d K. Borgwardt (2013) **Scalable kernels for graphs with continuous attributes**, _Advances in Neural Information Processing Systems 26 (NIPS 2013)_ [link](https://papers.nips.cc/paper/5155-scalable-kernels-for-graphs-with-continuous-attributes)  \n\n[2] M. Neumann, N. Patricia, R. Garnett, and K. Kersting (2012) **Efficient graph kernels by randomization**, _ECML/PKDD_ (0), 377–392 [link](http://link.springer.com/chapter/10.1007%2F978-3-642-33460-3_30)\n\n## Installation\n\nThe functions `runntimes.m` and `runIndependent.m` assume that LibSVM along with its MATLAB interface is installed. This can be downloaded from: [http://www.csie.ntu.edu.tw/~cjlin/libsvm/.](http://www.csie.ntu.edu.tw/~cjlin/libsvm/.)\n\n\n## Datasets\n\nThe following datasets used in the paper are available in the folder `CodeandData`: \n* ENZYMES \n* PROTEINS \n* SYNTHETIC\n\nas well as \n\n* ENZYMES\\_symmetrized \n* SYNTHETICnew  \n\nNote that the datasets ENZYMES and PROTEINS have previously appeared with discretized node features, this version of the data has continuous-valued features as described in our NIPS submission.\n\nPlease, refer to the file `README/README.txt` for further information on usage and installation of previous versions.\n\n\n[//]: # (## Author)\n\n[//]: # (Aasa Feragen)\n\n\n## Contact \n\nAny questions can be directed to Aasa Feragen: aasa [at] di.ku.dk\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fborgwardtlab%2Fgraphhopper-kernels","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fborgwardtlab%2Fgraphhopper-kernels","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fborgwardtlab%2Fgraphhopper-kernels/lists"}