🕸️ Neo4j

Graph Queries, Cypher Language, Relationship Mining, Knowledge Graphs

Agents need a new retrieval engine
hornet.dev·1d·
Discuss: Hacker News
🌐Federated Search
Advanced spectral clustering for heterogeneous data in credit risk monitoring systems
arxiv.org·2h
🌊Spectral Clustering
LegalChainReasoner: A Legal Chain-guided Framework for Criminal Judicial Opinion Generation
arxiv.org·2h
🔄Graph Rewriting
Show HN: Fine-tuned Llama 3.2 3B to match 70B models for local transcripts
bilawal.net·1d·
Discuss: Hacker News
💻Local LLMs
Automated Legal Citation Network Analysis for Precedent Prediction & Case Outcome Forecasting
dev.to·1d·
Discuss: DEV
📊Citation Graphs
Network Community Detection and Novelty Scoring Reveal Underexplored Hub Genes in Rheumatoid Arthritis
arxiv.org·2h
📊Citation Graphs
Benchmarking LLM Codegen for SQL
beekeeperstudio.io·20h·
Discuss: Hacker News
⛏️SQL Archaeology
Ultra Strong Machine Learning: Teaching Humans Active Learning Strategies via Automated AI Explanations
arxiv.org·2h
💻Local LLMs
Maximum entropy temporal networks
arxiv.org·2h
📈Time Series
Superposition in Graph Neural Networks
arxiv.org·2h
🕸️Tensor Networks
Oracle Database 23ai: Key Features and MCP Integration
dev.to·1h·
Discuss: DEV
⛏️SQL Archaeology
Practical Patterns for Adding Language Understanding to Any Software System
dev.to·2h·
Discuss: DEV
🌀Brotli Internals
AMBEDKAR-A Multi-level Bias Elimination through a Decoding Approach with Knowledge Augmentation for Robust Constitutional Alignment of Language Models
arxiv.org·2h
🌀Brotli Dictionary
MATL-DC: A Multi-domain Aggregation Transfer Learning Framework for EEG Emotion Recognition with Domain-Class Prototype under Unseen Targets
arxiv.org·2h
🎵Audio ML
Hybrid AI-Driven Intrusion Detection: Framework Leveraging Novel Feature Selection for Enhanced Network Security
arxiv.org·2h
🎯Threat Hunting
Greetings DEV Community
dev.to·16h·
Discuss: DEV
🦀Rust Macros
Unnoticeable Community Deception via Multi-objective Optimization
arxiv.org·2h
🔲Cellular Automata
50 Machine Learning MCQs with Answers
dev.to·1d·
Discuss: DEV
🧠Machine Learning
LLMs for LLMs: A Structured Prompting Methodology for Long Legal Documents
arxiv.org·2h
🔗Constraint Handling
Yet Unnoticed in LSTM: Binary Tree Based Input Reordering, Weight Regularization, and Gate Nonlinearization
arxiv.org·2h
🤖Grammar Induction