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Aug 10, 2023 · We propose a Community-aware graph Embedding method with Multi-level attribute integration, a novel attributed graph embedding framework.
Graph embedding has been extensively studied in the literature and is widely used in various applications such as drug discovery, social network analysis, ...
Aug 10, 2023 · To tackle these problems, we propose a Community-aware graph Embedding method with Multi-level attribute integration, a novel attributed graph ...
Community-aware graph embedding via multi-level attribute integration. https ... GraphZoom: a multi-level spectral approach for accurate and scalable graph ...
To tackle these problems, we propose a Community-aware graph Embedding method with Multi-level attribute integration, a novel attributed graph embedding ...
In this paper, we propose a Community-aware Dynamic Network Embedding method (short for CDNE) which considers the dynamics of macroscopic community structures.
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The CEMA and GraphZoom performance in less 10% training · Community-aware graph embedding via multi-level attribute integration. Article. Full-text available.
We propose a relation-aware graph convolutional network (ERGCN), which is equipped with both entity convolution and relation convolution to learn the entity ...
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
Jul 22, 2023 · It not only helps to enrich or rebuild node connections through attribute category, but also provides a principled way to update node represen-.