Knowledge Graph coverage.

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Knowledge Graphs (KGs) are widely used to mitigate the limitations of Large Language Models (LLMs), such as outdated knowledge and hallucinations.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…

Helicase: Uncertainty-Guided Supply Chain Knowledge Graph Construction with Autonomous Multi-Agent LLMs

LLM-based multi-agent systems have been widely adopted for knowledge retrieval and report generation, synthesizing known information through web search and textual reasoning. Howev…

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 …

Traceable Knowledge Graph Reasoning Enables LLM-Assisted Decision Support for Industrial VOCs in the Steel Industry

Key knowledge for steel-industry volatile organic compounds (VOCs) governance is scattered across unstructured scientific literature, making it difficult to integrate process, poll…

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…

Visualize Your AI-Written Code as an Interactive Knowledge Graph

▸ Understand-Anything-Public is a new open-source GitHub project that converts your entire codebase...…

SciAtlas: A Large-Scale Knowledge Graph for Automated Scientific Research

The exponential growth of global academic output has confronted researchers and AI agents with an unprecedented ``information explosion,'' where fragmented and unstructured knowled…

Show HN: Local note engine uses LLM to organize notes into a knowledge graph

Local note engine that uses LLM to build and evolve a knowledge graph - AlexWasHeree/NoteCast…

Wikidata, Wikipedia, and Knowledge Graph entity engineering

Knowledge Graph: Wikidata, Wikipedia, and entity authority engineering…

Show HN: I built a powerful RAG and knowledge graph agent that runs locally

Show HN: ThinkLLM, A knowledge graph of AI models (HTTPS://thinkllm.dev)

A living, browsable knowledge graph about AI models. Browse by capability, use case, or provider to build model intuition.…

KiroGraph: Local code knowledge graph for AI, optimized for token efficiency

Semantic code knowledge graph for Kiro: fewer tool calls, instant symbol lookups, 100% local. - davide-desio-eleva/kirograph…

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…

Automated Big Data Quality Assessment using Knowledge Graph Embeddings

Automated data quality assessment is crucial for managing big data, but existing solutions face challenges in achieving accurate context-aware assessment. This paper presents a nov…

The Librarian – 7.1M-node knowledge graph beats vector search

Contribute to jeujai/Librarian development by creating an account on GitHub.…

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…

RAGA: Reading-And-Graph-building-Agent for Autonomous Knowledge Graph Construction and Retrieval-Augmented Generation

Existing LLM-driven knowledge graph (KG) construction methods predominantly employ stateless batch processing pipelines, exhibiting structural deficiencies in cross-chunk semantic …

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.…

AI-Ready Enterprise Knowledge Graph Market to Reach USD 6,550.0 Million by 2036 as GraphRAG Adoption and Enterprise AI Integration Accelerate - Morningstar

Comprehensive up-to-date news coverage, aggregated from sources all over the world by Google News.…

I built a Zero-Allocation C# Knowledge Graph (because JVM graphs are too bloated)

If you are building AI agents, you eventually hit the "Memory Wall". Your agent doesn't just need...…

We Fixed Karpathy’s LLM Wiki - PENgram Is the Typed Knowledge Graph Pipeline Everyone Asked For

We recently published an article about the gaps in Karpathy's LLM Wiki pattern. The thesis was...…

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...…