All Katas - ML Katas

Graph Convolutional Network for Node Classification

this year hard (<30 mins) | pytorch gnn graph gcn

### Description Implement a simple Graph Convolutional Network (GCN) to perform node classification on a graph dataset like Cora. [1] A GCN layer aggregates information from a node's neighbors to...

Building a Graph Autoencoder

this year hard (>1 hr) | autoencoder gnn graph representation gae

Implement a **Graph Autoencoder (GAE)** for graph representation learning. The encoder will use a GNN to produce node embeddings, and the decoder will reconstruct the graph's adjacency matrix from...

Implementing a Graph Neural Network (GNN) Layer

this year hard (>1 hr) | network gnn graph node embedding

Implement a simple **Graph Neural Network (GNN) layer** for node classification on a small graph. The layer should aggregate features from a node's neighbors and combine them with the node's own...