Research map / Graph learning / Knowledge and temporal graphs
Learning Heterogeneous Spatial-Temporal Representation for Bike-Sharing Demand Prediction
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add STG2Vec graph embedding to temporal LSTM (ablation) | Temporal LSTM · Citi-Bike check-in | RMSE: 1.4960 -> 1.4265 | Helped |
| add weather features to temporal LSTM (ablation) | Temporal LSTM · Citi-Bike check-in | RMSE: 1.4960 -> 1.4884 | Helped |
| add attention to graph embedding (ablation) | Temporal + Graph · Citi-Bike check-in | RMSE: 1.4265 -> 1.4195 | Helped |
| add attention to graph embedding (ablation) | Temporal + Graph · Citi-Bike check-out | MAE: 0.7702 -> 0.7705 | No clear effect |
| add weather to temporal + attn-graph (full CE-LSTM) (ablation) | Temporal + Attn-Graph · Citi-Bike check-out | RMSE: 1.3173 -> 1.3115 | Helped |
| replace dynamic STG2Vec with static DeepWalk embedding in CE-LSTM (ablation) | CE-LSTM · Citi-Bike check-in | RMSE: 1.4138 -> 1.4337 | Hurt |
| replace dynamic STG2Vec with static spectral embedding in CE-LSTM (ablation) | CE-LSTM · Citi-Bike check-in | RMSE: 1.4138 -> 1.4449 | Hurt |
Closest papers by meaning
- Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (AAAI 2019 · similarity 0.88)
- Spatio-Temporal Neural Structural Causal Models for Bike Flow Prediction (AAAI 2023 · similarity 0.88)
- Community-Aware Multi-Task Transportation Demand Prediction (AAAI 2021 · similarity 0.88)
- Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction (AAAI 2018 · similarity 0.88)
- Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective (AAAI 2024 · similarity 0.86)
- Simple and Efficient Heterogeneous Temporal Graph Neural Network (NeurIPS 2025 · similarity 0.84)
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