13 stories tagged with #knowledge-graphs, in publish-time order across the WeSearch catalog. Tag pages update as new stories ingest.
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Code-on-Graph: Iterative Programmatic Reasoning via Large Language Models on Knowledge Graphs
Knowledge Graphs (KGs) are widely used to mitigate the limitations of Large Language Models (LLMs), such as outdated knowledge and hallucinations. Existing LLM-KG integration frame…
Boosting Knowledge Graph Foundation Models via Enhanced Negative Sampling
Knowledge graphs (KGs) have become the core backbone of numerous downstream tasks such as question answering and recommender systems. However, despite all this, KGs are often very …
The Compressive Knowledge Graph Hypothesis: Which Graph Facts Matter for Scientific Hypothesis Generation?
Knowledge graphs (KGs) can provide structured scientific context to language models, but it remains unclear which graph facts actually shape the generated hypotheses. We study KG-g…
I built a history platform with knowledge graphs, but I don’t know how to turn it into a business. Need advice!
Discoverable Agent Knowledge -- A Formal Framework for Agentic KG Affordances (Extended Version)
Two decades ago, the Semantic Web Services community was asked how agents with different ontological commitments could discover, compose, and invoke web services coherently. The re…
BLINKG: A Benchmark for LLM-Integrated Knowledge Graph Generation
Generating Knowledge Graphs (KGs) remains one of the most time-consuming and labor-intensive tasks for knowledge engineers, as they need to identify semantic equivalences between i…
Proxy-Pointer RAG: Solving Entity and Relationship Sprawl in Large Knowledge Graphs
A scalable semantic localization layer for entity and relationship reconciliation…
Scalable Uncertainty Reasoning in Knowledge Graphs
Knowledge Graphs are pivotal for semantic data integration. The real-world data they model is often inherently uncertain. Within knowledge graphs, uncertainty manifests in three di…
Enhancing Metacognitive AI: Knowledge-Graph Population with Graph-Theoretic LLM Enrichment
Metacognition-the ability to monitor one's own knowledge state, spot gaps, and autonomously fill them--remains largely absent from modern AI. Here, we present MetaKGEnrich, a fully…
GRID: Graph Representation of Intelligence Data for Security Text Knowledge Graph Construction
Security knowledge graphs can provide computable external memory for security agents, but constructing them from long-form cyber threat intelligence (CTI) remains difficult: LLMs o…
Multimodal Cultural Heritage Knowledge Graph Extension with Language and Vision Models
The preservation and interpretation of cultural heritage increasingly rely on digital technologies, among which Knowledge Graphs (KGs) stand out for their ability to structure vast…
Knowledge Graphs for AI Coding Assistants
Graphify builds queryable, multi-modal knowledge graphs from code, docs, papers and diagrams to supercharge AI coding assistants.…
I built an open-source tool to distill books into knowledge graphs
I have a bad habit: I buy books faster than I read them. Not because I'm lazy — I start most of...…