Knowledge Graphs Seminar - Spring 2020
Explore knowledge graphs through Stanford's seminar series, covering fundamental concepts, applications, and advanced topics in this cutting-edge field of data representation and reasoning.
AI Trustworthiness Index and Sources Monitoring
Explore the critical perspectives on AI development and implementation in this 20-minute talk by Amandeep Singh, a senior research engineer at USC Information Sciences Institute. Delve into the importance of using artificial intelligence in moderation an…
Contrast then Memorize: Semantic Neighbor Retrieval-Enhanced Inductive Multimodal Knowledge Graph Completion
Explore innovative techniques for enhancing multimodal knowledge graph completion through semantic neighbor retrieval and contrastive learning.
EditKG: Editing Knowledge Graph for Recommendation - Lecture 1
Explore innovative techniques for editing knowledge graphs to enhance recommendation systems, focusing on improving accuracy and relevance.
MetaHKG: Meta Hyperbolic Learning for Few-shot Temporal Reasoning - M1.2
Explore meta hyperbolic learning for few-shot temporal reasoning in knowledge graphs, enhancing reasoning capabilities with limited data.
Practical GraphRAG - Making LLMs Smarter with Knowledge Graphs
Explore GraphRAG: enhancing LLMs with knowledge graphs for improved context and accuracy in generative tasks. Learn to extract, correlate, and navigate data using Neo4j and LangChain.
GraphRAG: Visualizing Knowledge Graphs in Neo4J for Data Science and Machine Learning
Explore knowledge graph visualization in Neo4J using GraphRAG, enhancing your data science and machine learning skills with practical insights.
GraphRAG - Unleashing the Power of Knowledge Graphs with LLMs
Explore GraphRAG: AI-powered content interpretation using LLMs to create knowledge graphs from unstructured text, enabling advanced search and question-answering capabilities.
Neo4J Knowledge Graph Builder - Introduction to RAG and LLM Integration
Explore Neo4J Knowledge Graph Builder for creating knowledge graphs from unstructured data using LLMs and LangChain. Learn to leverage this tool for advanced data science and machine learning applications.
RAG: Neo4J Knowledge Graph Builder - Introducción en Español
Descubre cómo crear Knowledge Graphs con Neo4J Knowledge Graph Builder, utilizando datos no estructurados y tecnologías como LLM y LangChain para potenciar tus proyectos de ciencia de datos.
RAG: GraphRAG - Visualización del Knowledge Graph en Neo4J
Descubre cómo cargar y visualizar un Knowledge Graph creado con GraphRAG en Neo4J, explorando técnicas avanzadas de representación del conocimiento para ciencia de datos y aprendizaje automático.
GraphRAG - Unleashing the Power of Knowledge Graphs with LLMs (Español)
Descubre cómo potenciar agentes RAG con GraphRAG, una suite de herramientas para crear y utilizar Knowledge Graphs mediante LLMs, mejorando la búsqueda e interpretabilidad.
Neo4J: Knowledge Graph, Semantic Search, and Topic Extraction with Langchain and Phi3 - Part 1
Aprende a crear una base de conocimientos gráfica con Neo4J, extrayendo temas y palabras clave de textos mediante Langchain y el modelo Phi3 de Microsoft.
Neo4J Knowledge Graph Builder App with Langchain, OpenAI, and Gemini - Introduction and Installation
Aprende a crear Knowledge Graphs con Neo4J, integrando OpenAI y Gemini para procesar información no estructurada de diversas fuentes.
ShadeWatcher: Recommendation-Guided Cyber Threat Analysis Using System Audit Records
Explore recommendation-guided cyber threat analysis using system audit records, enhancing detection effectiveness and efficiency through innovative connectivity modeling and learning techniques.
Contextual Security: A Critical Shift in Performing Threat Intelligence
Exploring contextual security solutions to overcome limitations of machine learning in cybersecurity, using knowledge graphs for improved threat intelligence and explanation-based security.
Temporal: Your Company as a Knowledge Graph - The Foundation of Cybersecurity's Future
Explore how Security Knowledge Graphs revolutionize cloud security by mapping entity networks, enabling automated reasoning, and improving data governance across multi-cloud infrastructures.
Code Genome - Fingerprinting Code to Build Trustworthy SBOMs
Explore Code Genome, a novel approach to generate and verify Software Bills of Materials (SBOMs) using semantically meaningful fingerprints of code functionality, enhancing software supply chain security.
Supply Chain Security: Building a Knowledge Graph for Artifact Relationships
Explore a supply chain knowledge graph tool that enhances understanding of artifact relationships, enabling better assessment of vulnerabilities and dependencies in software development.
Eliminating the Unknowns: Using GUAC to Better Understand Your Software Supply Chain
Learn how GUAC, an open-source knowledge graph, aggregates software supply chain metadata to enhance security, inform decision-making, and enable policy-driven admission control in your development lifecycle.
ZERO-RULES Alert Contextualizer and Correlator for Detecting Multi-Stage Cyber Attacks
Leveraging AI models to connect security events into MITRE ATT&CK campaigns, enhancing detection of multi-stage cyber attacks and shifting focus from individual incidents to targeted campaigns.