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Academic Collaborator Recommendation Based on Attributed Network Embedding Cover

Academic Collaborator Recommendation Based on Attributed Network Embedding

By: Ouxia Du and  Ya Li  
Open Access
|Feb 2022

Figures & Tables

Figure 1

The framework of our proposed ACR-ANE model.
The framework of our proposed ACR-ANE model.

Figure 2

Capture non-local neighbors.
Capture non-local neighbors.

Figure 3

Capture attr_sim neighbors.
Capture attr_sim neighbors.

Figure 4

Preservation of multi-type academic relationships.
Preservation of multi-type academic relationships.

Figure 5

Influence of Freq on Precision, Recall, and F1(Aminer).
Influence of Freq on Precision, Recall, and F1(Aminer).

Figure 6

Influence of Freq on Precision, Recall and F1(APS).
Influence of Freq on Precision, Recall and F1(APS).

Figure 7

Influence of scholar embedding dimension on Precision, Recall, and F1(Aminer).
Influence of scholar embedding dimension on Precision, Recall, and F1(Aminer).

Figure 8

Influence of scholar embedding dimension on Precision, Recall, and F1(APS).
Influence of scholar embedding dimension on Precision, Recall, and F1(APS).

Figure 9

Comparison between ACR-ANE and baselines in terms of Precision, Recall, and F1(Aminer).
Comparison between ACR-ANE and baselines in terms of Precision, Recall, and F1(Aminer).

Figure 10

Comparison between ACR-ANE and baselines in terms of Precision, Recall, and F1(APS).
Comparison between ACR-ANE and baselines in terms of Precision, Recall, and F1(APS).

Notations_

NotationDescription
GThe attributed academic collaboration network
VThe set of all scholars
EThe set of relationship between scholars
SThe weight of edge
AScholar attribute matrix
XAdjacency matrix of multi-relational networks
YFinal scholar embedding matrix
dScholar embedding dimension
daScholar attribute embedding dimension
xi, x^i {{{\boldsymbol{\hat x}}}_{\boldsymbol{i}}} The input data and reconstructed data
W(k), Ŵ(k)The k-th layer weight matrix
b(k), b^(k) {{{\boldsymbol{\hat b}}}^{{\boldsymbol{(k)}}}} The k-th layer biases

Statistics of two datasets_

Datasets# of Nodes# of Links
Aminer7,43611,568
APS5,10239,333
DOI: https://doi.org/10.2478/jdis-2022-0005 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
Language: English
Page range: 37 - 56
Submitted on: Nov 10, 2021
Accepted on: Jan 11, 2022
Published on: Feb 3, 2022
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2022 Ouxia Du, Ya Li, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.