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EPISODE · Oct 4, 2021 · 37 MIN

The Joy of Graphs

from Code for Thought · host RSE

Graph Theory has been around for a long time. Its use in computing has found a number of applications, most prominently social networks. In this episode I will be talking with Ben Steer and Gabor Szarnyas about their experiences in working with graphs. In particular: how to assess the performance of graphs, their use in science and research, the state of graph query languages and more.Here are a few links you might find useful:- https://www.routledgehandbooks.com/doi/10.1201/b16132-3  Handbook of Graphs, a nice overview. - https://arxiv.org/abs/2012.06171 The Future is Big Graphs! An overview of graph processing systems - for which Gabor is co-author- https://github.com/GraphBLAS/LAGraph LAGraph is a draft library plus a test harness for collecting algorithms that use the GraphBLAS- https://www.tigergraph.com Tiger Graph database- https://neo4j.com Neo4j a popular graph DB- https://opencypher.org Open Cypher - the open source graph query language- http://ldbcouncil.org Linked DB Benchmark Council - https://graphblas.github.io GraphBLAS- https://szarnyasg.github.io/posts/graph-query-languages/ Gabor's post on graph query languages- https://raphtory.github.io Raphtory, a temporal graph tool developed by Ben and othersGet in touchThank you for listening! Merci de votre écoute! Vielen Dank für´s Zuhören!Contact Details/ Coordonnées / Kontakt:Email mailto:[email protected] RSE Slack (ukrse.slack.com): @code4thought or @piddie Bluesky: https://bsky.app/profile/code4thought.bsky.socialLinkedIn: https://www.linkedin.com/in/pweschmidt/  (personal Profile)LinkedIn: https://www.linkedin.com/company/codeforthought/ (Code for Thought Profile)This podcast is licensed under the Creative Commons Licence:  https://creativecommons.org/licenses/by-sa/4.0/

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Graph Theory has been around for a long time. Its use in computing has found a number of applications, most prominently social networks. In this episode I will be talking with Ben Steer and Gabor Szarnyas about their experiences in working with graphs. In particular: how to assess the performance of graphs, their use in science and research, the state of graph query languages and more. Here are a few links you might find useful: - https://www.routledgehandbooks.com/doi/10.1201/b16132-3&nbsp...

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The Joy of Graphs

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