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Recommended resources
Module 1
Foundations of Graph Theory
Module 2
PyTorch Essentials for GNNs
Module 3
Classical Graph Algorithms: PageRank
Module 4
Building a GCN from Scratch
Module 5
Accelerating GNNs with PyTorch Geometric
Module 6
Inductive Learning with GraphSAGE
Module 7
Advanced Models and Graph-Level Tasks
Module 8
Modeling Dynamic Graphs: Temporal GNNs
Module 9
GPU Acceleration for Deep Learning
Module 10
High-Performance Graph Analytics with cuGraph
Module 11
Model Deployment with ONNX
Module 12