HNR lunch lecture Mehwish Alam: Graph Representation Learning скачать в хорошем качестве

HNR lunch lecture Mehwish Alam: Graph Representation Learning

This talk focuses on ways to perform representation learning on graphs such as citation network, author collaboration network, etc. It then moves on to the graphs with relational information, known as Knowledge Graphs. As they are typically used in an open-world setting, Knowledge Graphs can almost never assumed to be complete, i.e., some information will typically be missing. In order to address this problem, different Knowledge Graph embedding models have been proposed for automated Knowledge Graph completion. These models are mostly based on the tasks such as link prediction, triple classification, and entity classification/typing. This talk will also target the topic of Knowledge Graph embedding techniques. Finally, various applications of Knowledge Graphs and Knowledge Graph embeddings will be discussed. More info on the HNR lunch lecture series and on upcoming lectures: https://historicalnetworkresearch.org...