Abstract: Connected operators provide well-established solutions for digital image processing, typically in conjunction with hierarchical schemes. In graph-based frameworks, such operators basically ...

The SAIR database is designed to help scientists train AI models to better predict protein-ligand binding affinities for drug ...

Graphs, visual representations outlining the relationships between different entities, concepts or variables, can be very ...

Using reinforcement learning, agentic AI can predict potential failures, such as hardware degradation or network congestion, ...

Graph technology is allowing pharma to model data in a way that offers invaluable insights for marketing, R&D and compliance teams alike. Skip to main content Thursday 26 June 2025 ...

In this work, we propose a spectral-based graph convolutional network for directed graphs. The proposed model employs the classic singular value decomposition (SVD) to perform signal decomposition ...

Incyte (Nasdaq:INCY) today announced that data from numerous programs in its hematology/oncology portfolio will be presented at the 2025 European Hematology Association (EHA) congress, held June ...

PRINCETON, N.J., June 12, 2025--Bristol Myers Squibb Presents Data Across Targeted Protein Degradation Research Including CELMoD™ Agents and BCL6 Ligand-Directed Degrader at EHA 2025 ...

It is first ingested, then structures or schemas are built on top of the data once it has been read. Governance rules, policies, and quality controls are also added to the dataset at this time.