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by esafak
988 days ago
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1. Graph algorithms like the ones you mentioned are processed not by graph databases like Neo4j, but graph processing libraries like the titular Google library. 2. Geometric learning is the broader category that subsumes graph neural networks. https://geometricdeeplearning.com/ |
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I’ll also say I think graph algorithms are overrated, I mean you know the diameter of some graph: who cares? Physicists (like me back in the day) are notorious for plotting some statistics on log-log paper, seeing that the points sorta kinda fall on a line if you squint and decide that three of the points are really bug splats and then yelling “UNIVERSIALITY” and sending it to Physical Review E but the only thing that is universal is that none of them have ever heard of a statistical estimator or a significance test for power law distributions. Node 7741 is the “most central” node, but does that make a difference? Maybe if you kill the top 1% central nodes that will disrupt the terrorist network but for most of us I don’t see high quality insights coming out of graph algorithms most of the time.