| 293 | -- | 297 | Mehwish Alam, Davide Buscaldi, Michael Cochez, Francesco Osborne, Diego Reforgiato Recupero, Harald Sack. Editorial of the Special Issue on Deep Learning and Knowledge Graphs |
| 299 | -- | 338 | Erik B. Myklebust, Ernesto Jiménez-Ruiz, Jiaoyan Chen, Raoul Wolf, Knut Erik Tollefsen. Prediction of adverse biological effects of chemicals using knowledge graph embeddings |
| 339 | -- | 356 | Golshan Afzali Boroujeni, Heshaam Faili, Yadollah Yaghoobzadeh. Answer selection in community question answering exploiting knowledge graph and context information |
| 357 | -- | 377 | Pasquale Lisena, Albert Meroño-Peñuela, Raphaël Troncy. MIDI2vec: Learning MIDI embeddings for reliable prediction of symbolic music metadata |
| 379 | -- | 398 | Pierre Monnin, Chedy Raïssi, Amedeo Napoli, Adrien Coulet. Discovering alignment relations with Graph Convolutional Networks: A biomedical case study |
| 399 | -- | 422 | Jan Portisch, Nicolas Heist, Heiko Paulheim. Knowledge graph embedding for data mining vs. knowledge graph embedding for link prediction - two sides of the same coin? |
| 423 | -- | 439 | Sukhwan Jung, Aviv Segev. Analyzing the generalizability of the network-based topic emergence identification method |
| 441 | -- | 475 | Irina Nikishina, Mikhail Tikhomirov, Varvara Logacheva, Yuriy Nazarov, Alexander Panchenko, Natalia V. Loukachevitch. Taxonomy enrichment with text and graph vector representations |
| 477 | -- | 510 | Sebastian Monka, Lavdim Halilaj, Achim Rettinger. A survey on visual transfer learning using knowledge graphs |
| 511 | -- | 526 | Hu Zhang 0003, Jingjing Zhou, Ru Li, Yue Fan. Network representation learning method embedding linear and nonlinear network structures |
| 527 | -- | 570 | Özge Sevgili, Artem Shelmanov, Mikhail Y. Arkhipov, Alexander Panchenko, Chris Biemann. Neural entity linking: A survey of models based on deep learning |
| 571 | -- | 597 | Simon Gottschalk 0001, Elena Demidova. Tab2KG: Semantic table interpretation with lightweight semantic profiles |