Graph Attention Networks (GAT)
Adaptive attention-based aggregation for graph neural networks - multi-head attention, learned weights, and interpretable graph learning
2 min readConcept
Explore machine learning concepts related to graph-neural-networks. Clear explanations and practical insights.
Adaptive attention-based aggregation for graph neural networks - multi-head attention, learned weights, and interpretable graph learning
Deep dive into Graph Convolutional Networks - spectral graph theory, message passing, aggregation mechanisms, and applications in node classification and graph learning