Podcast: Code for Thought
Erschienen: 05.10.2021
Dauer: 00:37:00
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 othersSupport the showThank you for listening and your ongoing support. It means the world to us! You can also support our efforts by leaving a rating or review.Follow or contact us on Email mailto:code4thought@proton.me Patreon https://www.patreon.com/codeforthought Slack (ukrse.slack.com): @code4thought Mastadon: @code4thought@fosstodon.org LinkedIn: https://www.linkedin.com/in/pweschmidt/ This podcast is licensed under the Creative Commons Licence: https://creativecommons.org/licenses/by-sa/4.0/
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