We are proud to announce the GraphTeacher, which is now published in IEEE Transactions on Artificial Intelligence! GraphTeacher tackles a core NLP challenge—scarce labeled data—by integrating GNNs into the fine-tuning of transformer encoders to exploit unlabeled data while excluding test nodes from the graph, eliminating re-graphing and enabling inductive, single-instance inference. 🔬 Evaluated on GLUE […]
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Recent research by Prof. Dr. Oktay Algın and his collaborators has led to the development of MRI-compatible brain biopsy and ablation techniques. These innovations have received support from the Turkish Institutes of Health (TÜSEB), MARVIS—a manufacturer of MRI- compatible guidewires—and NORAS, a manufacturer of MRI coils. These studies will evaluate the ability to perform MRI-compatible […]
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Happy to share our latest paper titled “Emotion Classification with Visibility Graphs” published in IEEE Signal Processing Letters! Our novel approach introduces a visibility graph-based sequential modeling to encapsulate global relationships within texts beyond the reach of fixed context windows of transformers. Being a modular graph-based extension to any transformer-based model, our proposed approach enhances […]
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Happy to share our latest paper titled “Sememe Based Semantic Communications” published in IEEE Communications Letters! We introduced a concept in linguistics called sememes to the domain of semantic communications. Sememes are the smallest and indivisible semantic units of word meaning. A predefined set of sememes is theoretically considered “the periodic table” of meaning in […]
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Excited to share our latest research published in Signal Processing, introducing the Joint Time-Vertex Fractional Fourier Transform (JFRT), a novel framework that extends traditional joint time-vertex analysis into the fractional domain. By integrating fractional orders in both time and graph domains, JFRT not only generalizes existing Fourier-based methods but also delivers enhanced performance in tasks […]
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