Unsupervised word embeddings provide rich linguistic and conceptual information about words. However, they may provide weak information about domain specific semantic relations for certain tasks such ...

A left-lateralized dorsolateral prefrontal network for naming. Cell Reports, 2025; 44 (5): 115677 DOI: 10.1016/j.celrep.2025.115677 ...

Some researchers, including Alon, believed that the same might apply to Ramanujan graphs. The herculean effort required to find these graphs, Alon thought, said more about the human mind than it did ...

For the layers above the data one, the TF-GNN API is easy to use, with close integration into Keras. Graph Neural Networks are on the path to becoming more mainstream, with exciting opportunities for ...

The film explores the complexities of meaning in language, highlighting three types: denotative meaning (the literal reference of a word), conceptual meaning (the ideas associated with a word ...

The graph of knowledge vs. the knowledge graph: GoK is a broader, more conceptual idea focusing on interconnected information, without necessarily being highly structured.

The team proposed a Graph-Segmenter, including a Graph Transformer and a Boundary-aware Attention module, which is an effective network for simultaneously modeling the more profound relation ...

Semantic Web Company and Ontotext announced that the two organizations are merging to create a knowledge graph and AI powerhouse, Graphwise. Semantic Web Company brings expertise in knowledge ...