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Structural Deep Clustering Network
Clustering is a fundamental task in data analysis. Recently, deep clustering, which derives inspiration primarily from deep learning approaches, achieves state-of-the-art... -
PEMSD3 and PEMSD7
The dataset used in the paper is a real-world traffic dataset collected by California Transportation Agencies (CalTrans) Performance Measurement System (PeMS). -
MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Pre...
Human motion prediction is a challenging task due to the stochasticity and aperiodicity of future poses. Recently, graph convolutional network has been proven to be very... -
Microsoft Indoor Location Competition 2.0
The Microsoft Indoor Location Competition 2.0 dataset is used in this paper. It contains five buildings as pretraining sites, and one building as the target site. The dataset is... -
Backtrackless Aligned-Spatial Graph Convolutional Network
The proposed BASGCN model is a new spatially-based GCN model for graph classification tasks.
