ecosyste.ms

All services

Data

  • Packages
  • Repositories
  • Advisories

Tools

  • Dependency Parser
  • Dependency Resolver
  • SBOM Parser
  • License Parser
  • Digest
  • Archives
  • Diff
  • Summary

Indexes

  • Timeline
  • Commits
  • Issues
  • Sponsors
  • Docker
  • Open Collective
  • Dependabot

Applications

  • Funds
  • Dashboards

Experiments

  • OST
  • Papers
  • Awesome
  • Ruby

Open Source Science

  • Fields
  • Support
  • GitHub
  • API
  • Projects

    • Recently synced
    • Ranking
    • Science Score
Updated 6 months ago

verbal-explanations-of-spatio-temporal-graph-neural-networks-for-traffic-forecasting • Science 49%

An eXplainable AI system to elucidate short-term speed forecasts in traffic networks obtained by Spatio-Temporal Graph Neural Networks.

congestion-analysis explainable-ai feature-importance graph-neural-networks mcts-algorithm metr-la monte-carlo-tree-search natural-language-generation natural-language-processing nlp outcomes-analytics pems-bay post-hoc-explanation spatio-temporal-graph speed-prediction stgnn traffic-forecasting transparency trustworthy-ai xai
Ecosyste.ms

Tools and open datasets to support, sustain, and secure critical digital infrastructure.

Code: AGPL-3 — Data: CC BY-SA 4.0

Supported by

Schmidt Futures
Open Source Collective

Become a sponsor

  • About
  • Blog
  • Contact
  • Privacy
  • Terms
  • Status