Find a story
Search Spins
Search titles, summaries, and missing voices across published articles — press releases, announcements, and media coverage.
9 results for “knowledge graphs”
SelfGraphRAG: Bridging the Supervision Gap in Graph-Based RAG with Synthetic QA Generation
SelfGraphRAG is a new research framework that auto-generates synthetic question-answer pairs from knowledge graph structure to train graph-based RAG retrievers without human-labeled data, improving multi-hop QA and classification performance over embedding baselines.
Aug 27, 2026
Research Assistant: AstraZeneca's Agentic System for R&D
AstraZeneca developed an internal LLM-based agentic system called Research Assistant to streamline biomedical R&D workflows by unifying access to diverse scientific data sources via a chat interface with source-grounded responses.
Aug 14, 2026
ProPRL: Property-Aware Prerequisite Relation Learning in Educational Knowledge Graphs
A new AI framework called ProPRL improves prerequisite relation learning in educational knowledge graphs by integrating multi-source concept representations and enforcing directional irreversibility, advancing adaptive instruction systems.
Aug 5, 2026
SCAIR: Schema-Conditioned Agentic Iterative Reasoning for Enterprise Knowledge Graphs
Researchers introduced SCAIR, a training-free framework for improving natural language querying over enterprise knowledge graphs by embedding schema-aware structural constraints into iterative reasoning — addressing poor generalization of existing agentic methods on real-world, operationally constrained KGs.
Jul 28, 2026
HG-RAG: Hierarchy-Guided Retrieval-Augmented Generation for Structured Knowledge Graphs
A new RAG framework called HG-RAG introduces hierarchical graph traversal over structured knowledge graphs to improve LLM reasoning on hierarchical, relational, and multi-hop queries — addressing a documented limitation of flat-document RAG systems.
Jul 17, 2026
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey
A new arXiv preprint (2607.09666v1) publishes a comprehensive, taxonomy-driven survey of Graph Neural Network (GNN) applications across the full knowledge graph (KG) technology lifecycle — from construction to reasoning to applications — identifying gaps, strengths, limitations, and future research directions.
Jul 14, 2026
Poisson-Gamma Modeling of Inter-Relational Dependencies in Dynamic Knowledge Graphs
A new probabilistic model called PGRE is introduced to improve temporal and relational dependency modeling in dynamic knowledge graphs, with demonstrated competitive link prediction performance on benchmark datasets.
Jul 8, 2026
KARMA: Knowledge graph-based Automated Reasoning Materialization and Alignment
KARMA is a new contrastive synthesis method that uses knowledge graphs to generate slot-aligned candidates and applies slot-level supervision to improve preference learning in LLMs.
Jul 8, 2026
Presentation: Graph RAG: Building Smarter Retrieval Workflows with Knowledge Graphs
Cassie Shum presents GraphRAG as an architectural evolution beyond vector-based RAG, emphasizing knowledge graphs to improve global context, multi-hop reasoning, and provenance in enterprise AI workflows.
Published Jul 1, 2026 · Analyzed Jul 4, 2026