Research map / Probabilistic and scientific modeling / Molecules and proteins
Combining Physics and Machine Learning for Network Flow Estimation
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning (ICLR 2025 · similarity 0.83)
- Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance (ICLR 2025 · similarity 0.83)
- Topology-aware Neural Flux Prediction Guided by Physics (ICML 2025 · similarity 0.82)
- Transformative or Conservative? Conservation laws for ResNets and Transformers (ICML 2025 · similarity 0.81)
- Understanding Optimization in Deep Learning with Central Flows (ICLR 2025 · similarity 0.80)
- Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting (AAAI 2024 · similarity 0.80)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.