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INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging
Spatio-temporal kriging is an important problem in web and social applications, such as Web or Internet of Things, where things (e.g., …
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FedGS: Federated Graph-based Sampling with Arbitrary Client Availability
While federated learning has shown strong results in optimizing a machine learning model without direct access to the original data, …
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Multi-Graph Fusion Networks for Urban Region Embedding
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FedRME: Federated Road Markings Extraction from Mobile LiDAR Point Clouds
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Federated Learning with Fair Averaging
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GMAN: A Graph Multi-Attention Network for Traffic Prediction
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