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That is the most requested feature and something I'm working on. It's a fun (and hard) design/data problem. Which of the 5k-150k papers do you show in the graph? And then how do you render them in a way that is both visually appealing but also conveys the most import information?

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Displaying graph data in a user-friendly way is indeed a challenge. The nicest user interface I've seen is on metacademy "explore" views:

https://metacademy.org/graphs/concepts/bayesian_logistic_reg...

and src code for the graph view is here: https://github.com/metacademy/metacademy-application/blob/ma...

they do some clever hiding of edges so graph is not overwhelming, but still only O(100) nodes.... for O(100k) nodes you'll need to do some selection for sure ;)

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