Seminar Representation Learning for Knowledge Graphs (Master)

The seminar covers state-of-the-art topics related to representation learning in Knowledge Graphs with a focus on the entity - entity alignment. The research papers chosen for the presentations are published in reputable venues such as IJCAI, WSDM, ISWC, etc. The goal of the seminar is to understand the allotted paper and other related literature and present the paper. The students are required to submit a 10-page report on the paper excluding the references and appendix. Also, the students need to reimplement the code provided by the corresponding authors of the papers and produce results on a dataset which would be provided by us. The seminar will be limited to 10 participants.