Apr 25, 2023 · In this paper, we propose a multi-view heterogeneous graph contrastive learning framework named MCL. By treating metapaths as data augmentation, ...

In this paper, an unsupervised multi-view learning based heterogeneous network representation model is proposed, called MVHNR.

Jul 19, 2022 · In this paper, we propose a Multi-View Embedding method for Heterogeneous Networks, called MVHNE. It mainly focuses on the preservation of the network ...

Aug 6, 2022 · In this paper, we propose a Multi-View Embedding method for Heterogeneous Networks, called MVHNE. It mainly focuses on the preservation of the ...

Abstract. Most existing heterogeneous information network (HIN) embedding methods focus on static environments while neglecting the evolving characteristic.

Multiview network embedding aims at projecting nodes in the net- work to low-dimensional vectors, while preserving their multiple relations and attribute ...

We propose GCR-MHNE model, which employs a Multi-View Heterogeneous Network Embedding method to generate personalized recommendations.

Jun 16, 2022 · In this paper, a highly efficient computational model, MTV-PPI, is proposed for PPI prediction based on a heterogeneous molecular network.

Jun 24, 2024 · In this paper, we propose a Multi-View Heterogeneous graph neural network (MV-HGNN) to aggregate these information.

This work proposes a Unipath based global Awareness neural Network (UAN) for attributed multiplex heterogeneous network embedding.