On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks
arxiv.org·2d
🧠Machine Learning
Graphzep -TypeScript implementation of temporal knowledge graph memory system
github.com·9h·
Discuss: Hacker News
🕸️Neo4j
Predictive Maritime Asset Valuation via Dynamic Network Embedding & Bayesian Optimization
dev.to·7h·
Discuss: DEV
🔍Vector Forensics
Implicit Hypergraph Neural Network
arxiv.org·2d
🌀Hyperbolic Geometry
Dreaming of Graphs in the Open Lakehouse
semyonsinchenko.github.io·22h·
Discuss: Hacker News
📊Graph Databases
V-JEPA 2: Scaling V-JEPA
gonzoml.substack.com·16h·
Discuss: Substack
📊Learned Metrics
Knowledge Graph-Infused Fine-Tuning for Structured Reasoning in Large Language Models
arxiv.org·2d
📋Document Grammar
Show HN: Graph – turn your ChatGPT into AI-sorted RSS feeds
graph.cx·1d·
Discuss: Hacker News
📡RSS
HIP: Model-Agnostic Hypergraph Influence Prediction via Distance-Centrality Fusion and Neural ODEs
arxiv.org·1d
🌀Hyperbolic Geometry
Smarter Model Tuning: An AI Agent with LangGraph + Streamlit That Boosts ML Performance
towardsdatascience.com·2d
🎙️Whisper
Quantifying Baseball Pitch Tunneling with K-Nearest Neighbors
runningonnumbers.com·3d·
Discuss: Hacker News
🌀Differential Geometry
GeoMAE: Masking Representation Learning for Spatio-Temporal Graph Forecasting with Missing Values
arxiv.org·2d
🧠Machine Learning
DEPTH: Hallucination-Free Relation Extraction via Dependency-Aware Sentence Simplification and Two-tiered Hierarchical Refinement
arxiv.org·2d
🎯Dependent Parsing
How AI Is Driving Us Back to Human Connection at Work
people-work.io·1d·
Discuss: Hacker News
🌍Cultural Algorithms
From Facts & Metrics to Media Machine Learning: Evolving the Data Engineering Function at Netflix
netflixtechblog.com·1d·
Discuss: Hacker News
📊Feed Optimization
Graph Concept Bottleneck Models
arxiv.org·2d
⧗Information Bottleneck
Structure-Aware Temporal Modeling for Chronic Disease Progression Prediction
arxiv.org·1d
🧠Machine Learning
Building Generative AI Applications with GitHub Models and .NET Aspire
milanjovanovic.tech·16h·
Discuss: Hacker News
🌀Brotli Internals
Deep Learning for School Dropout Detection: A Comparison of Tabular and Graph-Based Models for Predicting At-Risk Students
arxiv.org·2d
🧠Machine Learning
What Hugging Face reveals about the data economy of fine-tuning
research.portexai.com·15h·
Discuss: Hacker News
🌀Brotli Internals