🕸️ Neo4j

Graph Queries, Cypher Language, Relationship Mining, Knowledge Graphs

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Why I swapped a Relational Database for Neo4j to build a Skill-Gap Identifier 🚀
dev.to·18h·
Discuss: DEV
🗺️Competency Maps
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Natural language processing for word sense disambiguation and information extraction
arxiv.org·21h·
Discuss: r/compsci
📥Feed Aggregation
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Federation Over Embeddings: Let AI Agents Query Data Where It Lives
gnanaguru.com·4h·
Discuss: Hacker News
🏺Database Archaeology
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Towards a General Framework for Predicting and Explaining the Hardness of Graph-based Combinatorial Optimization Problems using Machine Learning and Association Rule Mining
arxiv.org·3d
🕸️Graph Embeddings
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Streamlinear, a new MCP for Linear
blog.fsck.com·1d
📏Linear Logic
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Deep Convolutional Networks on Graph-Structured Data
paperium.net·2d·
Discuss: DEV
📊Spectral Graphs
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LLM & AI Agent Applications with LangChain and LangGraph — Part 4 — Components of GPT
pub.towardsai.net·1h
🤖Grammar Induction
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faradayio/xsv2: Fork of xsv because qsv is too much
github.com·14h·
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🗜️LZSS Variants
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TRUNAJOD: A text complexity library for text analysis built on spaCy — TRUNAJOD 0.1.1 documentation
trunajod20.readthedocs.io·14h
📝Parsing Grammars
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We Lost the Thread on the Data Lake
blog.matterbeam.com·6h·
Discuss: Hacker News
💿ZFS Archaeology
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Self-Supervised Temporal Pattern Mining for circular manufacturing supply chains with embodied agent feedback loops
dev.to·8h·
Discuss: DEV
🌊Stream Processing
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Performance Hints for BigQuery
trmlabs.com·10h·
Discuss: Hacker News
🚀Query Optimization
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Inferal Workspace Architecture: How We Work at Inferal
gist.github.com·2d·
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📦Git LFS
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Kibana: Visualizing Your Data Story
dev.to·16h·
Discuss: DEV
🏺ZIP Archaeology
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Thinking in CRUD: Designing a Clean and Intent-Driven Plan Management API
dev.to·1d·
Discuss: DEV
✅Format Verification
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Rethinking Expense Splitting: A Graph-Based Approach with LLM Integration
dev.to·1d·
Discuss: DEV
🔄Graph Rewriting
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Pandas vs Polars: Why the 2025 Evolution Changes Everything
dev.to·14h·
Discuss: DEV
🌀Brotli Internals
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AI Infrastructure Basics: How MCP Works
newsletter.systemdesign.one
·1d·
Discuss: r/programming
🌊Stream Processing
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Stanford CS 224N | Natural Language Processing with Deep Learning
web.stanford.edu·1d
🧠Machine Learning
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Building an Intelligent Resume Transformation Agent Powered by LangGraph and gpt-4o-mini
pub.towardsai.net·1h
🤖Archive Automation
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