YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/model-cards#model-card-metadata)
This study proposes a novel approach for face recognition by leveraging Graph Neural Networks (GNNs) to classify face embeddings extracted from face images. The methodology comprises three main phases: (1) dataset preparation and embedding generation, (2) graph construction using k-Nearest Neighbors (k-NN), and (3) training and evaluation of a GNN-based classifier.
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
🙋
Ask for provider support