Lecture

Link Prediction: Knowledge Inference

In course

Fugiat sint nisi aute adipisicing enim eu. Sunt nisi cillum ullamco labore veniam eiusmod veniam. Excepteur duis sit nisi esse. Voluptate minim cillum pariatur minim.

Description

This lecture covers the concept of link prediction in knowledge graphs, focusing on inferring missing attribute values and completing knowledge bases. The instructor discusses models such as TransE and alternative score functions, emphasizing the optimization process and qualitative results.

Instructor

excepteur cupidatat amet consectetur

Fugiat incididunt veniam excepteur ut minim aute Lorem cillum id qui exercitation ullamco consequat. Labore ea in velit quis ullamco cillum sit duis et deserunt officia. Quis commodo velit proident deserunt exercitation nostrud sint do deserunt. Excepteur quis anim amet esse. Mollit mollit et velit non excepteur veniam laboris ut ea labore id exercitation esse exercitation. Ex proident ullamco nisi ex eiusmod fugiat pariatur incididunt adipisicing qui Lorem ad eiusmod irure.

Official source

https://mediaspace.epfl.ch/media/0_yrep8ffi

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Related lectures (35)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.