AI prompts
base on # The Graph Mining Library
This project includes some tools by the [Google Graph Mining team](https://research.google/teams/graph-mining/), namely in-memory
clustering. Our tools can be used for solving data mining and machine learning
problems that either inherently have a graph structure or can be formalized as
graph problems. For more information, see our [NeurIPS'20 workshop]( https://gm-neurips-2020.github.io/).
Among others, this repository contains shared memory parallel clustering algorithms which scale to graphs with tens of billions of edges and are based on the following research papers:
* [Hierarchical Agglomerative Graph Clustering in Poly-Logarithmic Depth](https://papers.nips.cc/paper_files/paper/2022/hash/909de96145d97514b143dfde03e6cd2b-Abstract-Conference.html), Laxman Dhulipala, David Eisenstat, Jakub Lacki, Vahab Mirrokni, Jessica Shi, NeurIPS'22. See https://github.com/google/graph-mining/tree/main/in_memory/clustering/hac
* [Scalable community detection via parallel correlation clustering](https://dl.acm.org/doi/abs/10.14778/3476249.3476282), Jessica Shi, Laxman Dhulipala, David Eisenstat, Jakub Łącki, Vahab Mirrokni, VLDB'21. See https://github.com/google/graph-mining/tree/main/in_memory/clustering/correlation
* [Affinity Clustering: Hierarchical Clustering at Scale](https://papers.nips.cc/paper_files/paper/2017/hash/2e1b24a664f5e9c18f407b2f9c73e821-Abstract.html), Mohammadhossein Bateni, Soheil Behnezhad, Mahsa Derakhshan, MohammadTaghi Hajiaghayi, Raimondas Kiveris, Silvio Lattanzi, Vahab Mirrokni, NeurIPS'17 (the paper describes a MapReduce algorithm). See https://github.com/google/graph-mining/tree/main/in_memory/clustering/affinity
* [Distributed Balanced Partitioning via Linear Embedding](https://dl.acm.org/doi/10.1145/2835776.2835829), Kevin Aydin, MohammadHossein Bateni, Vahab Mirrokni, WSDM'16 (the paper describes a MapReduce algorithm). See https://github.com/google/graph-mining/tree/main/in_memory/clustering/parline
This is not an officially supported Google product.
For questions/comments, please create an issue on this repository.
## Quickstart
1. Install [Bazel](https://bazel.build/)
2. Run the example: `bazel run //examples:quickstart`
", Assign "at most 3 tags" to the expected json: {"id":"3031","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"