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πŸ•ΈοΈ Graph Embeddings

Network Analysis, Node2Vec, Knowledge Graphs, Relationship Modeling

Fast and Distributed Equivariant Graph Neural Networks by Virtual Node Learning
arxiv.orgΒ·13h
πŸŒ€Riemannian Computing
Kumo Surfaces Structured Data Patterns Generative AI Misses
thenewstack.ioΒ·3h
πŸ“ŠGraph Databases
What are knowledge graphs and why is everyone talking about them?
dev.toΒ·1dΒ·
Discuss: DEV
πŸ•ΈοΈKnowledge Graphs
Uncertainty Quantification on Graph Learning: A Survey
arxiv.orgΒ·13h
🌈Spectral Methods
Show HN: ToolQL – Create AI Tools with GraphQL
toolql.comΒ·1dΒ·
Discuss: Hacker News
πŸ“ŠGraph Databases
Sheaf Hypergraph Networks
arxiv.orgΒ·2d
πŸŒ€Hyperbolic Geometry
Scalable Machine Learning Algorithms using Path Signatures
arxiv.orgΒ·1d
🧠Machine Learning
CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models
arxiv.orgΒ·1d
πŸ”Information Retrieval
Towards Deeper GCNs: Alleviating Over-smoothing via Iterative Training and Fine-tuning
arxiv.orgΒ·1d
πŸ“ŠLearned Metrics
Kernel spectral joint embeddings for high-dimensional noisy datasets using duo-landmark integral operators
arxiv.orgΒ·1d
πŸŒ€Riemannian Computing
SUTRA: Decoupling Concept & Language for Multilingual LLM Excellence
hackernoon.comΒ·1h
πŸ’»Local LLMs
Graph Algorithms Explained: Finding Paths and Connections
dev.toΒ·1dΒ·
Discuss: DEV
πŸ•ΈοΈGraph Algorithms
PERSCEN: Learning Personalized Interaction Pattern and Scenario Preference for Multi-Scenario Matching
arxiv.orgΒ·1d
πŸŽ›οΈFeed Filtering
Open-Set Graph Anomaly Detection via Normal Structure Regularisation
arxiv.orgΒ·2d
🧠Machine Learning
Heart Disease Predictor using KNN(ML) algorithm
dev.toΒ·6hΒ·
Discuss: DEV
🧠Machine Learning
SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics
arxiv.orgΒ·2d
πŸŒ€Hyperbolic Geometry
Probabilistic and reinforced mining of association rules
arxiv.orgΒ·1d
🧠Learned Indexes
Beyond Observability: Network Intelligence Will Make Network Management Obsolete
kentik.comΒ·22hΒ·
Discuss: Hacker News
πŸ“ŠHomelab Monitoring
Contributions to Representation Learning with Graph Autoencoders and Applications to Music Recommendation
arxiv.orgΒ·6d
πŸ“ŠSpectral Graphs
What LLMs Know About Their Users
schneier.comΒ·6hΒ·
Discuss: Hacker News
πŸ’»Local LLMs
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