CG-GNN: A Novel Compiled Graphs-based Feature Extraction Method for Enterprise Social Networks

Author:

Konishi Tatsuya1ORCID,Haruta Shuichiro1ORCID,Kurokawa Mori1ORCID,Tsukatsune Kenta2ORCID,Mizutani Yuto3ORCID,Saito Tomoaki3ORCID,Asoh Hideki1ORCID,Ono Chihiro1ORCID

Affiliation:

1. KDDI Research, Inc., Japan

2. Okayama University of Science, Japan

3. Unipos Co., Ltd., Japan

Publisher

ACM

Reference15 articles.

1. Improving the agility of employees through enterprise social media: The mediating role of psychological conditions

2. Understanding Individual User Resistance and Workarounds of Enterprise Social Networks: The Case of Service Ltd

3. William  L. Hamilton , Rex Ying , and Jure Leskovec . 2017 . Inductive Representation Learning on Large Graphs . In Proc. of NeurIPS. 1024–1034 . William L. Hamilton, Rex Ying, and Jure Leskovec. 2017. Inductive Representation Learning on Large Graphs. In Proc. of NeurIPS. 1024–1034.

4. Sepp Hochreiter and Jürgen Schmidhuber . 1997. Long Short-Term Memory. Neural computation 9, 8 ( 1997 ), 1735–1780. Sepp Hochreiter and Jürgen Schmidhuber. 1997. Long Short-Term Memory. Neural computation 9, 8 (1997), 1735–1780.

5. Leveraging enterprise social network technology: understanding the roles of compatibility and intrinsic motivation

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