Effective Graph and Rank-based Contextual Embeddings for Textual and Multimedia Data
GRaCE surpasses RaDE and Original Features across diverse datasets, including textual and image collections, excelling in retrieval, classification, and clustering tasks, considering state-of-the-art Transformer models as feature descriptors and Graph Convolutional Networks models in classification tasks.
Thiago César Castilho Almeida, G. Leticio, L. P. Valem et al.
· IEEE International Joint Con... · 1 citation
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