urban mobility | BestHub

DataFunTalk

Dec 18, 2021 · Artificial Intelligence

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.

adaptive supervisiondeep learninggraph neural network

0 likes · 24 min read

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.

adaptive supervisionbig datagraph neural network

0 likes · 22 min read

JD Tech Talk

Jan 28, 2021 · Artificial Intelligence

Spatial‑Temporal Graph Diffusion Network for City Traffic Flow Forecasting

This article introduces a hierarchical graph neural network model that jointly captures multi‑scale temporal patterns and global spatial context for urban traffic flow prediction, demonstrates its superiority over existing methods on multiple public datasets, and validates each component through extensive ablation studies.

Attentiondeep learninggraph neural network

0 likes · 8 min read

Spatial‑Temporal Graph Diffusion Network for City Traffic Flow Forecasting