Multi-graph aggregated graph neural network for heterogeneous graph representation learning.

Dara: distribution-aware representation alignment for semi-supervised domain adaptation in image classification.

GAD-VAE: generative adversarial disentanglement with variational autoencoders for hair removal in dermoscopy images.

A Community-Based Centrality Measure for Identifying Key Nodes in Multilayer Networks.

An improved gravity centrality for finding important nodes in multi-layer networks based on multi-PageRank.

Deep Autoencoder-like non-negative matrix factorization with graph regularized for link prediction in dynamic networks.

ICCL: Independent and Correlative Correspondence Learning for few-shot image classification.

Community Detection in Multilayer Networks Via Semi-Supervised Joint Symmetric Nonnegative Matrix Factorization.

An efficient and secure data collection scheme for predictive maintenance of vehicles.

Dual-Channel and Hierarchical Graph Convolutional Networks for document-level relation extraction.

Joint extraction of entities and overlapping relations by improved graph convolutional networks.

HITS centrality based on inter-layer similarity for multilayer temporal networks.

Eigenvector-based centralities for multilayer temporal networks under the framework of tensor computation.

Multi-Dimensional HITS Based on Random Walks for Multilayer Temporal Networks.

Eigenvector Centrality Measure Based on Node Similarity for Multilayer and Temporal Networks.