W9_L9.2: Node embeddings: encoder-decoder perspective

Welcome to Week 9 Lecture 9 Part 2 of the course "Big Data and Biological Networks" by Dr. Nirav P Bhatt , Karthik Raman , Prof. Himanshu Sinha. Full Course: https://study.iitm.ac.in/ds/course_pages/BSBT4002.html Video Overview In this lecture, we introduce the encoder-decoder framework for generating node embeddings and explain the mathematical notations associated with it. The video discusses the key components of the framework, the role of the loss function, and how node similarity is measured within this setup. It also explains how the framework is optimized to learn meaningful node representations. This lecture helps build a strong conceptual understanding of how node embeddings are systematically learned using encoder-decoder approaches. For more details, visit: https://study.iitm.ac.in/ds/course_pages/BSBT4002.html Dr Himanshu Sinha Professor, Department of BioTechnology, Bhupat and Jyoti Mehta School of Biosciences Indian Institute of Technology Madras Lab homepage: https://home.iitm.ac.in/sinha/ GitHub: https://github.com/HimanshuLab About IIT Madras' online Bachelor of Science programme IIT Madras offers four year BS programmes that aim to provide quality education to all, irrespective of age, educational background, or location. The BS programme has multiple levels, which provide flexibility to students to exit at any of these levels. Depending on the courses completed and credits earned, the learner can receive a Foundation Certificate from IITM CODE (Centre for Outreach and Digital Education), Diploma(s) from IIT Madras, or BSc/BS Degrees from IIT Madras. For more details, Visit: https://www.iitm.ac.in/academics/study-at-iitm/non-campus-bs-programmes #NodeEmbeddings #EncoderDecoder #GraphRepresentationLearning #Bioinformatics #NetworkAnalysis #BigDataAndBiology #BiologicalNetworks #IITMadras #BSProgramme #DataScienceAI