2 code implementations • 15 Feb 2023 • Atabey Ünlü, Elif Çevrim, Ahmet Sarıgün, Hayriye Çelikbilek, Heval Ataş Güvenilir, Altay Koyaş, Deniz Cansen Kahraman, Abdurrahman Olğaç, Ahmet Rifaioğlu, Tunca Doğan
DrugGEN can be used to design completely novel and effective target-specific drug candidate molecules for any druggable protein, given target features and a dataset of experimental bioactivities.
1 code implementation • 29 Jan 2023 • Ahmet Sarıgün
In recent years, the attention mechanism has demonstrated superior performance in various tasks, leading to the emergence of GAT and Graph Transformer models that utilize this mechanism to extract relational information from graph-structured data.
1 code implementation • Learning on Graphs Conference 2022 • Ahmet Sarıgün, Ahmet Sureyya Rifaioglu
One of the most critical operations in graph neural networks (GNNs) is the aggregation operation, which aims to extract information from neighbors of the target node.
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