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05/16/2023
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks
Heterogeneous graph neural networks (HGNNs) can learn from typed and rel...
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11/23/2022
MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks
Heterogeneous graph neural networks (HGNNs) were proposed for representa...
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07/29/2022
Locally-iterative (Δ+1)-Coloring in Sublinear (in Δ) Rounds
Distributed graph coloring is one of the most extensively studied proble...
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01/05/2022
Modelling Hospital Strategies in City-Scale Ambulance Dispatching
The optimisation in the ambulance dispatching process is significant for...
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02/05/2020
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding
A large number of real-world graphs or networks are inherently heterogen...
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06/04/2017
CRNN: A Joint Neural Network for Redundancy Detection
This paper proposes a novel framework for detecting redundancy in superv...
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04/30/2016