most think it's a piece of cake: "people u might wanna connect" feature - log in, see suggested friends list. easy peasy right? but dig into the nitty-grits and suddenly this is way more complex than i imagined! especially when scaling up to millions or even billions users.
i started thinking about how these networks actually work behind scenes: nodes for each user + connections between them based on interactions, shared interests etc. then using gnn algorithms could predict potential new acquaintances. but wait - there's so much more.
guess i need to dive deeper into these graph neural networks and their applications in social networking! anyone got any tips or resources on where to start?
article:
https://dzone.com/articles/people-you-may-know-graph-neural-networks