Resources - Graphaware

Leveraging LLMs for Intelligence Analysis

NODES 2023 – Relation Extraction: Dependency Graphs vs. Large Language Models

Entity Resolution (ER) draws connections between scattered, incomplete, and inconsistent records to resolve unique entities. ER is relevant in intelligence analysis, in which organized, complete, and consistent information is crucial …

nodes entity resolution for intelligence analysis

NODES 2023 – Graph-based Entity Resolution for Intelligence Analysis

Entity Resolution (ER) draws connections between scattered, incomplete, and inconsistent records to resolve unique entities. ER is relevant in intelligence analysis, in which organized, complete, and consistent information is crucial …

NODES2022 – Neo4j With Docker and Docker Compose Deep Dive

Christophe Willemsen, CTO at GraphAware, spoke on NODES2022 about using Neo4j with Docker and Docker Compose, presented tips and tricks on basic usage, gave an explanation of the Docker image …

NODES2022 – Keyword Disambiguation Using Transformers and Clustering to Build Cleaner Knowledge

Federica Ventruto and Alessia Melania Lonoce are Junior Data Scientists at GraphAware who spoke at NODES2022. Natural language processing is an indispensable toolkit to build knowledge graphs from unstructured data. …

NODES2022 – Data Management with Knowledge Graphs Bringing Archives to Life

Vlasta Kůs is Lead Data Scientist at GraphAware and presented at NODES2022. Public archives contain incredible amount of knowledge. In this session, we’ll cover a real use case of building …