Skip to main content
Angestrom home
SearchPapersModelsLive AIIntelligence
Search⌕⌘K
EnterprisePricingSign in

Stay Ahead in the AI Revolution

Weekly digest — EPI pulse, top intelligence, fresh lineage. Free, no account.

Follow Angestrom
Global source network
Synced every 5 minutes

Continuous sync from primary AI sources — indexed, enriched, and queryable in real time.

arXivHugging FaceGitHubOpenAIAnthropicDeepMindReutersBBC TechHacker NewsReddit MLVerified feedsFunding
Angestrom

Angestrom connects every piece of the AI ecosystem — data, models, research, companies, tools, and people.

info@angestrom.comwww.angestrom.comLucknow, Uttar Pradesh, India

Product

  • AI Search
  • AI Models
  • Research Papers
  • Companies
  • News & Events
  • GitHub Explorer
  • APIs & Tools
  • Datasets
  • Benchmarks
  • Model lifecycle
  • Funding graph
  • Contributors
  • AI Agents

Resources

  • Weekly digest
  • Documentation
  • Tutorials
  • Guides
  • News
  • Help / Start
  • Community

Company

  • About
  • Contact
  • Privacy Policy
  • Terms of Service
  • Acceptable Use

Enterprise

  • Pricing
  • Workspace
  • Contact Sales

Developer

  • Developer Hub
  • API docs
  • GitHub

Learn

  • Learning Academy
  • Roadmaps
  • Glossary
  • AI for Beginners

Popular Topics

Loading topics…
View All Topics →
© 2026 Angestrom. All rights reserved.
English
Theme
Angestrom home
SearchPapersModelsLive AIIntelligence
Search⌕⌘K
EnterprisePricingSign in
  1. Home
  2. /Repositories
  3. /SherylHYX/pytorch_geometric_signed_directed
Read original ↗
repoGitHubTrust 82 · PrimaryPublished 16d agoLive · 16d ago

SherylHYX/pytorch_geometric_signed_directed

PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

  • PossiblePossibly related (embedding) · 48%The Emergent Symbolic Structure of Artificial Neural Networks →
  • PossiblePossibly related (embedding) · 47%Graph Neural Networks: When Relationships Are the Signal - Snowflake →
  • PossiblePossibly related (embedding) · 46%Hamiltonian Neural Networks from a Differential Geometry Perspective [D] →

Covers

newsThe Emergent Symbolic Structure of Artificial Neural NetworksnewsGraph Neural Networks: When Relationships Are the Signal - SnowflakenewsHamiltonian Neural Networks from a Differential Geometry Perspective [D]

Related across the graph

newsThe Emergent Symbolic Structure of Artificial Neural NetworksnewsHamiltonian Neural Networks from a Differential Geometry Perspective [D]newsGraph Neural Networks: When Relationships Are the Signal - Snowflake
Knowledge path·NThe Emergent Symbolic Structure of Artificial Neural Networks→NHamiltonian Neural Networks from a Differential Geometry Perspective [D]→NGraph Neural Networks: When Relationships Are the Signal - Snowflake→RSherylHYX/pytorch_geometric_signed_directed

Topics

deep-learningdirected-networksgnngraph-neural-netowrksmachine-learningnetworkspythonpytorchpytorch-geometricsigned-networks

Explore

Search similar →Knowledge graph →All repos →Full intelligence feed →
Graph trust82Primary
Graph score148