Abstract is missing.
- Loss Functions in Knowledge Graph Embedding ModelsSameh K. Mohamed, Vít Novácek, Pierre-Yves Vandenbussche, Emir Muñoz. 1-10 [doi]
- Graph-Convolution-Based Classification for Ontology Alignment Change PredictionMatthias Jurisch, Bodo Igler. 11-20 [doi]
- Mining Scholarly Data for Fine-Grained Knowledge Graph ConstructionDavide Buscaldi, Danilo Dessì, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero. 21-30 [doi]
- A Comprehensive Survey of Knowledge Graph Embeddings with Literals: Techniques and ApplicationsGenet Asefa Gesese, Russa Biswas, Harald Sack. 31-40 [doi]
- Iterative Entity Alignment with Improved Neural Attribute EmbeddingNing Pang, Weixin Zeng, Jiuyang Tang, Zhen Tan, Xiang Zhao 0002. 41-46 [doi]
- Knowledge Reconciliation with Graph Convolutional Networks: Preliminary ResultsPierre Monnin, Chedy Raïssi, Amedeo Napoli, Adrien Coulet. 47-56 [doi]
- End-to-End Learning for Answering Structured Queries Directly over TextPaul T. Groth, Antony Scerri, Ron Daniel, Bradley P. Allen. 57-70 [doi]
- Can Knowledge Graphs and Deep Learning Approaches help in Representing, Detecting and Interpreting Metaphors?Mehwish Alam. 71-73 [doi]