Adaptive Mutual Supervision Multi‑Task Graph Neural Network for Fine‑Grained Urban Traffic Demand Prediction

This work proposes an adaptive mutual‑supervision multi‑task graph neural network that captures spatio‑temporal dynamics and heterogeneous group behaviors to predict fine‑grained urban travel demand, demonstrating over 10% performance gains on real‑world Beijing and Shanghai datasets compared with classic baselines.

Deep LearningGraph Neural NetworkTraffic Prediction

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Adaptive Mutual Supervision Multi‑Task Graph Neural Network for Fine‑Grained Urban Traffic Demand Prediction

DataFunSummit

Dec 18, 2021 · Artificial Intelligence

Adaptive Mutual Supervision Multi‑Task Graph Neural Network for Fine‑Grained Urban Traffic Demand Prediction

This work introduces a novel adaptive mutual‑supervision multi‑task graph neural network that captures spatio‑temporal dynamics and group‑specific travel patterns, achieving over 10% improvement in short‑term traffic demand forecasts across heterogeneous urban populations.

Graph Neural Networkadaptive supervisionmulti-task learning

0 likes · 22 min read