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Similarity Metrics and Visualization of Scholars Based on Variational ...
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Jan 5, 2024 · In this paper, we propose an algorithm for measuring the similarity of scholars based on variational graph normalized auto-encoders (VGNAE).
Aug 18, 2021 · In this paper, we propose a novel Variational Graph Normalized AutoEncoder (VGNAE) that utilize L2-normalization to derive better embeddings for isolated nodes.
Missing: Similarity Metrics Visualization Scholars
Similarity Metrics and Visualization of Scholars Based on Variational Graph Normalized Auto-Encoders. Chapter. Jan 2024. Guangtao Zhang · Xiangwei Zeng ...
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Apr 16, 2024 · In this manuscript, we employ the Adjusted Rand Index (ARI) as a key evaluation metric to measure the similarity between two partitions. It ...
Yu Weng's 6 research works with 15 citations, including: Similarity Metrics and Visualization of Scholars Based on Variational Graph Normalized Auto-Encoders.
Feb 15, 2022 · We propose an end-to-end graph network-based model called Multi-Head Attention Variational Graph Auto-Encoders (MHAVGAE) to learn the prerequisite relation ...
Jun 26, 2020 · We here introduce a novel approach to molecular similarity, in the form of a variational autoencoder (VAE). This learns the joint distribution p(z|x)
GAEs learn to make a low similarity of embeddings between a pair of unconnected nodes. Consider a graph consisting of eight nodes in Figure 1 (a). Figure 1 (c) ...
Missing: Visualization Scholars
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May 29, 2023 · In this paper, we introduce Gene Knockout Inference (GenKI), a virtual knockout (KO) tool for gene function prediction using single-cell RNA sequencing (scRNA- ...