Graph Neural Networks: Basics (2)

#Graph

We will continue the discussion on Graph Neural Networks.

Problems of using Graphs
Graph Neural Networks

Textbook: Hamilton¹

Hamilton2020 Hamilton WL. Graph representation learning. Synth lect artif intell mach learn. 2020;14: 1–159. doi:10.2200/s01045ed1v01y202009aim046 ↩︎

Planted: 2021-10-03 by NeuronStar;

: 2021-10-09T14:30:00 - 2021-10-09T16:00:00 (CET) : Lark : More details on page Conditional Probability Estimation

References:

Hamilton2020 Hamilton WL. Graph representation learning. Synth lect artif intell mach learn. 2020;14: 1–159. doi:10.2200/s01045ed1v01y202009aim046

Current Ref:

cpe/22.gnn-basics-2.md

Links from:

Graph Convolutional Matrix Completion

Graph Convolutional Matrix Completion

Multivariate Time-series Forecasting Using GNN

Multivariate Time-series Forecasting