A Yann LeCun–Linked Startup Charts a New Path to AGI

As the world’s largest companies pour hundreds of billions of dollars into large language models, San Francisco-based Logical ...
IEEE

Dynamic Knowledge Graphs for Predictive Business Insights: A Fusion of NLP and Graph Neural Networks

Abstract: We introduce a framework that utilizes dynamic nowledge graphs (DKGs), graph neural networks (GNNs) and natural language processing (NLP) to provide predictive business insights. This ...
Finextra

Graph Neural Networks and GraphRAG: Navigating Open-World Complexity in Finance

Graph Neural Networks (GNNs) and GraphRAG don’t “reason”—they navigate complex, open-world financial graphs with traceable, multi-hop evidence. Here’s why BFSI leaders should embrace graph-native AI ...
C&EN

Multilevel Fusion Graph Neural Network for Molecule Property Prediction

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jcim.5c01525. Efficiency analysis of different normalization strategies ...
Scientific Research Publishing

An In-Depth Analysis of Graph Neural Networks and Machine Learning Approaches for Drug Repositioning ()

1 Department of Computer Science and Engineering, Kishoreganj University, Kishoreganj, Bangladesh. 2 Department of Electrical and Computer Engineering, North South University, Dhaka, Bangladesh. 3 ...