Abstract: Knowledge graph embedding is efficient method for reasoning over known facts and inferring missing links. Existing methods are mainly triplet-based or graph-based. Triplet-based approaches ...
Abstract: Drug discovery is the process by which new candidate medications are discovered. Developing a new drug is a lengthy, complex, and expensive process. Here, in this paper, we propose a ...
Learn how LLMs are transforming schema matching through semantic reasoning while deterministic validation keeps enterprise ...
According to a Reddit user, their discovery is alarming because the method used to transmit the findings is steganography, a ...
Google and industry partners announced Agentic Resource Discovery (ARD) Specification, an open standard for publishing, ...
Prompt injections, the malicious commands attackers embed into content to entice LLMs to follow them, have been attackers’ go ...
MOUNTAIN VIEW, CALIFORNIA - MAY 19: Google Vice President of Search Liz Reid walks on stage during the keynote address at Google I/O on May 19, 2026 in Mountain View, California. The two day ...
GraphRAG explains why AI is shifting from isolated text to connected knowledge, and what that means for AI search ...
Today:Early fog in the far southwest clears quickly. Most areas stay dry with sunshine and variable cloud, though northern and northeastern regions may see isolated showers. Light winds overall, ...
Memory-augmented agents, structured memory architectures, and retrieval-based baselines are usually evaluated in isolation — each paper ships its own loader, its own runtime adapter, and its own ...
Steps to Reproduce Create a dataset with GraphRAG chunk method enabled Upload a document that generates a large knowledge graph (e.g., hundreds of pages of Chinese building codes, producing 17,000+ ...
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