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by anon291
854 days ago
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Graphs are discrete, topologies are potentially continuous. Moreover, you can do different things with them such as create homeomorphisms to another topology much more easily than you can create bijections between graphs. In general, continuity lets you assume things that are impossible in discrete spaces. For example, many optimization problems are really easy in continuous spaces but really hard in discrete ones (linear programming for example) Given the recent success with vectors as a general model for data (as witnessed by the continued success with deep neural networks), it's an interesting discussion to have. |
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If you argue with more generality: why not consider sites (and, relatedly, topoi) instead of topological spaces then:
> https://en.wikipedia.org/wiki/Grothendieck_topology
> https://en.wikipedia.org/wiki/Topos