Understand the merits of large language models vs. small language models, and why knowledge graphs are the missing piece in ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of ...

Embrace city science as a vital partner in architecture, merging creativity with data to build resilient and equitable urban ...

Explore how Neo4j’s InfiniGraph unifies analytical and transactional data, removing ETL bottlenecks to power next-gen GenAI ...

Recently, researchers introduced a new representation learning framework that integrates causal inference with graph neural networks—CauSkelNet, which can be used to model the causal relationships and ...

Infinigraph is a new distributed graph architecture that allows Neo4j’s database to run operational and analytical workloads ...

A high-performance AI framework enhances anomaly detection in industrial systems using optimized Graph Deviation Networks and graph attention mechanisms. Delivering 97% faster detection and improved ...

IIT Guwahati has released the GATE 2026 Syllabus for Computer Science & Information Technology (CS&IT) along with the ...