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Showing posts from April 5, 2024

[Day 95] Designing a GNN layer + becoming a fellow of the Royal Statistical Society

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 Hello :) Today is Day 95! A quick summary of today: learned how a GNN layer is constructed and operates ( XCS224W: ML with Graphs ) became a fellow of the Royal Statistical Society  (I thought I already was) Lecture 2.2 GNN Design Space Covered topics: Designing a single layer of a GNN, message computation, aggregation, GCN, GraphSAGE, GAT, attention and multi-head attention in graphs, stacking GNN layers, the problem of over-smoothing, shallow GNNs, using skip connections Becoming a fellow of the Royal Statistical Society I was registered as a student in the RSS and I thought I was like a regular member, but apparently I needed to register as a proper 'Fellow'. Going forward I see there are events that they organise, and have some courses on statistics through which I can climb the pyramid Also, for a bit I tried making a discord server for study groups and discussions between students of the XCS224W course, so far noone wanted to join. I am not sure how they usually do study