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Text2Graph: Combining Lightweight LLMs and GNNs for Efficient Text Classification in Label-Scarce Scenarios
João Lucas Luz Lima Sarcinelli, Ricardo Marcondes Marcacini
Large Language Models (LLMs) have become effective zero-shot classifiers, but their high computational requirements and environmental costs limit their practicality for large-scale…
OLGA: One-cLass Graph Autoencoder
M. P. S. Gôlo, J. G. B. M. Junior, D. F. Silva +1
One-class learning (OCL) comprises a set of techniques applied when real-world problems have a single class of interest. The usual procedure for OCL is learning a hypersphere that…
Transfer Learning with Joint Fine-Tuning for Multimodal Sentiment Analysis
Guilherme Lourenço de Toledo, Ricardo Marcondes Marcacini
Most existing methods focus on sentiment analysis of textual data. However, recently there has been a massive use of images and videos on social platforms, motivating sentiment ana…
Semi-Supervised Graph Attention Networks for Event Representation Learning
Joao Pedro Rodrigues Mattos, Ricardo M. Marcacini
Event analysis from news and social networks is very useful for a wide range of social studies and real-world applications. Recently, event graphs have been explored to model event…