33 citations · 49 across the 10 of their papers we have counts for
4 papers · 1 filter
Transferable Graph Condensation from the Causal Perspective
Huaming Du, Yijie Huang, Su Yao +10
The increasing scale of graph datasets has significantly improved the performance of graph representation learning methods, but it has also introduced substantial training challeng…
Graph Dimension Attention Networks for Enterprise Credit Assessment
Shaopeng Wei, Beni Egressy, Xingyan Chen +4
Enterprise credit assessment is critical for evaluating financial risk, and Graph Neural Networks (GNNs), with their advanced capability to model inter-entity relationships, are a…
Towards Optimal Customized Architecture for Heterogeneous Federated Learning with Contrastive Cloud-Edge Model Decoupling
Xingyan Chen, Tian Du, Mu Wang +5
Federated learning, as a promising distributed learning paradigm, enables collaborative training of a global model across multiple network edge clients without the need for central…
Learning Spatiotemporal Features of Ride-sourcing Services with Fusion Convolutional Network
Feng Xiao, Dapeng Zhang, Gang Kou +1
To collectively forecast the demand for ride-sourcing services in all regions of a city, the deep learning approaches have been applied with commendable results. However, the local…