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Cyclic label propagation for graph semi-supervised learning
Graph neural networks (GNNs) have emerged as effective approaches for graph analysis, especially in the scenario of semi-supervised …
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OpenWGL: Open-World Graph Learning for Unseen Class Node Classification
Graph learning, such as node classification, is typically carried out in a closed-world setting. A number of nodes are labeled, and the …
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Temporal Network Embedding for Link Prediction via VAE joint Attention Mechanism
Network representation learning or embedding aims to project the network into a low-dimensional space that can be devoted to different …
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Dual Interactive Graph Convolutional Networks for Hyperspectral Image Classification
Recently, Graph Convolutional Network (GCN) has progressed significantly and gained increasing attention in hyperspectral image (HSI) …
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A Survey on Knowledge Graphs: Representation, Acquisition and Applications
Human knowledge provides a formal understanding of the world. Knowledge graphs that represent structural relations between entities …
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Graph Learning: A Survey
Graphs are widely used as a popular representation of the network structure of connected data. Graph data can be found in a wide …
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Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
Anomaly detection on attributed networks attracts considerable research interests due to wide applications of attributed networks in …
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Convolutional Neural Networks based Lung Nodule Classification: A Surrogate-Assisted Evolutionary Algorithm for Hyperparameter Optimization
This paper investigates deep neural networks (DNNs) based lung nodule classification with hyperparameter optimization. Hyperparameter …
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Learning Graph Neural Networks with Positive and Unlabeled Nodes
Graph neural networks (GNNs) are important tools for transductive learning tasks, such as node classification in graphs, due to their …
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Compact Scheduling for Task Graph Oriented Mobile Crowdsourcing
With the proliferation of increasingly powerful mobile devices and wireless networks, mobile crowdsourcing has emerged as a novel …