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Found 6 papers, 4 papers with code
Graph Data Condensation via Self-expressive Graph Structure Reconstruction
They could not explicitly leverage the information of the original graph structure and failed to construct an interpretable graph structure for the synthetic dataset.
Dataset Condensation for Time Series Classification via Dual Domain Matching
Different from previous methods, our proposed framework aims to generate a condensed dataset that matches the surrogate objectives in both the time and frequency domains.
Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting
Next, the traffic data of the data-scarce target city could query the traffic pattern bank, facilitating the aggregation of meta-knowledge.
Cross-city Few-Shot Traffic Forecasting via Traffic Pattern Bank
Then, the traffic data of the data-scarce city could query the traffic pattern bank and explicit relations between them are constructed.
FDTI: Fine-grained Deep Traffic Inference with Roadnet-enriched Graph
Under this setting, traffic flow is highly influenced by traffic signals and the correlation between traffic nodes is dynamic.
CBLab: Supporting the Training of Large-scale Traffic Control Policies with Scalable Traffic Simulation
To the best of our knowledge, CBLab is the first infrastructure supporting traffic control policy optimization in large-scale urban scenarios.
