It has become increasingly clear in 2025 that retrieval augmented generation (RAG) isn't enough to meet the growing data requirements for agentic AI. RAG emerged in the last couple of years to become ...

ldu-nvidia / Attention-based-heterogeneous-temporal-knowledge-graph Public Notifications You must be signed in to change notification settings Fork 0 Star 0 applying attention mechanism on temporal ...

Main Result: After proper hyperparameter tuning, temporal attention outperforms RNN on validation metrics, supporting our hypothesis that attention over historical states captures richer temporal ...

Abstract: Temporal knowledge graph (TKG) reasoning involves inferring future unknown facts based on historical data. Current approaches to temporal reasoning can be broadly categorized into two main ...

Abstract: Graph neural network (GNN)-based approaches have achieved remarkable success in temporal knowledge graph (TKG) reasoning. Despite these advances, two critical challenges remain: 1) ...

What if you could transform overwhelming, disconnected datasets into a living, breathing map of relationships, one that not only organizes your data but also reveals insights you didn’t even know you ...

We live at a time of radical uncertainty, with economic stagnation, social upheaval, ideological clashes, violent conflicts, and a global trade war. How to survive the uncertainty and to thrive rather ...

General Intuition PBC, a startup developing artificial intelligence models that can navigate three-dimensional environments, has raised $133.7 million in funding. TechCrunch reported today that Khosla ...

Medal, a platform for uploading and sharing video game clips, has spun out a new frontier AI research lab that’s using its trove of gaming videos to train and build foundation models and AI agents ...