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09/05/2023
Exploiting Spatial-temporal Data for Sleep Stage Classification via Hypergraph Learning
Sleep stage classification is crucial for detecting patients' health con...
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07/07/2023
Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs
Graph neural network (GNN) has gained increasing popularity in recent ye...
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10/31/2022
Towards Relation-centered Pooling and Convolution for Heterogeneous Graph Learning Networks
Heterogeneous graph neural network has unleashed great potential on grap...
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06/07/2022
FedRel: An Adaptive Federated Relevance Framework for Spatial Temporal Graph Learning
Spatial-temporal data contains rich information and has been widely stud...
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01/20/2022
AstBERT: Enabling Language Model for Code Understanding with Abstract Syntax Tree
Using a pre-trained language model (i.e. BERT) to apprehend source codes...
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12/29/2021
GPS: A Policy-driven Sampling Approach for Graph Representation Learning
Graph representation learning has drawn increasing attention in recent y...
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11/12/2021