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Deep Learning and Knowledge Graphs

From: Adam Sobieski <adamsobieski@hotmail.com>
Date: Mon, 27 May 2019 14:35:28 +0000
To: "semantic-web@w3.org" <semantic-web@w3.org>
Message-ID: <SN6PR01MB4638C4BD646A858F5C2C564FC51D0@SN6PR01MB4638.prod.exchangelabs.com>
Semantic Web Interest Group,

Im finding some interesting and introductory publications on the topics of artificial neural networks and graph-based data [1][2][3][4]. Id like to share these with the group.

Are there any thoughts on future research and development directions with respect to deep learning and knowledge graphs?

Best regards,
Adam Sobieski

[1] Scarselli, Franco, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, and Gabriele Monfardini. "The graph neural network model." IEEE Transactions on Neural Networks 20, no. 1 (2008): 61-80.
[2] Schlichtkrull, Michael, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, and Max Welling. "Modeling relational data with graph convolutional networks." In European Semantic Web Conference, pp. 593-607. Springer, Cham, 2018.
[3] Wu, Zonghan, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, and Philip S. Yu. "A comprehensive survey on graph neural networks." arXiv preprint arXiv:1901.00596 (2019).
[4] Zhang, Ziwei, Peng Cui, and Wenwu Zhu. "Deep Learning on Graphs: A Survey." arXiv preprint arXiv:1812.04202 (2018).
Received on Monday, 27 May 2019 14:35:53 UTC

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