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ORCIDDL4KG@ESWC 2019: Portorož, Slovenia
- Mehwish Alam, Davide Buscaldi, Michael Cochez, Francesco Osborne, Diego Reforgiato Recupero, Harald Sack:
Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG2019) Co-located with the 16th Extended Semantic Web Conference 2019 (ESWC 2019), Portoroz, Slovenia, June 2, 2019. CEUR Workshop Proceedings 2377, CEUR-WS.org 2019
Papers
- Sameh K. Mohamed, Vít Novácek, Pierre-Yves Vandenbussche, Emir Muñoz:
Loss Functions in Knowledge Graph Embedding Models. 1-10 - Matthias Jurisch, Bodo Igler:
Graph-Convolution-Based Classification for Ontology Alignment Change Prediction. 11-20 - Davide Buscaldi, Danilo Dessì, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero:
Mining Scholarly Data for Fine-Grained Knowledge Graph Construction. 21-30 - Genet Asefa Gesese, Russa Biswas, Harald Sack:
A Comprehensive Survey of Knowledge Graph Embeddings with Literals: Techniques and Applications. 31-40 - Ning Pang, Weixin Zeng, Jiuyang Tang, Zhen Tan, Xiang Zhao:
Iterative Entity Alignment with Improved Neural Attribute Embedding. 41-46 - Pierre Monnin, Chedy Raïssi, Amedeo Napoli, Adrien Coulet:
Knowledge Reconciliation with Graph Convolutional Networks: Preliminary Results. 47-56 - Paul Groth, Antony Scerri, Ron Daniel Jr., Bradley P. Allen:
End-to-End Learning for Answering Structured Queries Directly over Text. 57-70 - Mehwish Alam:
Can Knowledge Graphs and Deep Learning Approaches help in Representing, Detecting and Interpreting Metaphors? 71-73
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