research
∙
09/04/2023
Semantic-Constraint Matching Transformer for Weakly Supervised Object Localization
Weakly supervised object localization (WSOL) strives to learn to localiz...
share
research
∙
08/31/2023
Contrastive Representation Learning Based on Multiple Node-centered Subgraphs
As the basic element of graph-structured data, node has been recognized ...
research
∙
05/27/2022
FadMan: Federated Anomaly Detection across Multiple Attributed Networks
Anomaly subgraph detection has been widely used in various applications,...
research
∙
08/17/2021
ANOMALYMAXQ:Anomaly-Structured Maximization to Query in Attributed Network
The detection of anomaly subgraphs naturally appears in various real-lif...
research
∙
04/13/2021
Which Hyperparameters to Optimise? An Investigation of Evolutionary Hyperparameter Optimisation in Graph Neural Network For Molecular Property Prediction
Recently, the study of graph neural network (GNN) has attracted much att...
research
∙
03/19/2021
HeterSkinNet: A Heterogeneous Network for Skin Weights Prediction
Character rigging is universally needed in computer graphics but notorio...
research
∙
02/24/2021
A Genetic Algorithm with Tree-structured Mutation for Hyperparameter Optimisation of Graph Neural Networks
In recent years, graph neural networks (GNNs) have gained increasing att...
research
∙
02/08/2021
A Systematic Comparison Study on Hyperparameter Optimisation of Graph Neural Networks for Molecular Property Prediction
Graph neural networks (GNNs) have been proposed for a wide range of grap...
research
∙
01/22/2021
A Novel Genetic Algorithm with Hierarchical Evaluation Strategy for Hyperparameter Optimisation of Graph Neural Networks
Graph representation of structured data can facilitate the extraction of...
research
∙
05/29/2019
Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors
Text reviews can provide rich useful semantic information for modeling u...
research
∙
05/29/2019
