Sep 3, 2023 · Abstract:Inspired by the successful application of contrastive learning on graphs, researchers attempt to impose graph contrastive learning ...
Nov 5, 2023 · To this end, we propose a new multi-scale meta-path integrated heterogeneous graph contrastive learning (M2HGCL) model, which discards the ...
In this section, we propose M 2HGCL, a novel heterogeneous graph contrastive learning method that integrates multi-scale meta-paths. The overall architecture of ...
Dec 15, 2023 · To this end, we propose a new multi-scale meta-path integrated heterogeneous graph contrastive learning (M\(^2\)HGCL) model, which discards the ...
Dec 15, 2023 · To this end, we propose a new multi-scale meta-path integrated heterogeneous graph contrastive learning (M2HGCL) model, which discards the ...
Inspired by the successful application of contrastive learning on graphs, researchers attempt to impose graph contrastive learning approaches on ...
Jul 27, 2023 · In response to the issues to be solved, we present a multi-scale contrastive learning method (MCLHE) applied to heterogeneous graph embedding.
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What is a heterogeneous graph in neural network?
M2HGCL: Multi-Scale Meta-Path Integrated Heterogeneous Graph Contrastive Learning ... Orthogonal to homogeneous graphs, the types of nodes and edges in ...
M2HGCL: Multi-Scale Meta-Path Integrated Heterogeneous Graph Contrastive Learning ... heterogeneous graph contrastive learning methods. To this end, we propose a ...
M2HGCL: Multi-Scale Meta-Path Integrated Heterogeneous Graph Contrastive Learning ... Orthogonal to homogeneous graphs, the types of nodes and edges in ...