research
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05/22/2023
Tokenized Graph Transformer with Neighborhood Augmentation for Node Classification in Large Graphs
Graph Transformers, emerging as a new architecture for graph representat...
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11/15/2022
Adaptive Multi-Neighborhood Attention based Transformer for Graph Representation Learning
By incorporating the graph structural information into Transformers, gra...
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11/15/2022
Neighborhood Convolutional Network: A New Paradigm of Graph Neural Networks for Node Classification
The decoupled Graph Convolutional Network (GCN), a recent development of...
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06/21/2022
Propagation with Adaptive Mask then Training for Node Classification on Attributed Networks
Node classification on attributed networks is a semi-supervised task tha...
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06/10/2022
NAGphormer: Neighborhood Aggregation Graph Transformer for Node Classification in Large Graphs
Graph Transformers have demonstrated superiority on various graph learni...
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08/07/2018
Multi-Output Convolution Spectral Mixture for Gaussian Processes
Multi-output Gaussian processes (MOGPs) are recently extended by using s...
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08/03/2018
Generalized Spectral Mixture Kernels for Multi-Task Gaussian Processes
Multi-Task Gaussian processes (MTGPs) have shown a significant progress ...
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08/01/2018