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Graph Representation Learning From Knowledge Graphs to Recommender Systems / Hongwei Wang (UIUC)
Theoretical Foundations of Graph Neural Networks
Graph Representation Learning for Algorithmic Reasoning
1 - Graph Representation Learning Book - Chapter 1
Knowledge Graph Representation: From Recent Models towards a Theoretical Understanding.
Petar Veličković Graph Neural Networks: Geometric, Structural and Algorithmic Perspectives Part 1
GraphSAGE - Inductive Representation Learning on Large Graphs - Paper Overview
Stanford CS224W: Machine Learning w/ Graphs I 2023 I Geometric Graph Learning, Minkai Xu
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Last Updated: October 19, 2026
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Slide link: snap.stanford.edu/class/cs224w-2018/handouts/09-node2vec.pdf. Recent Advances and Open Challenges Title: Bootstrapped Self-Supervised This talk is part of the Oxford ML Summer School Unconference. I am discussing two recent papers that deal with different aspects ... New Deep Learning Techniques 2018 "Large-scale Slide deck: petar-v.com/talks/Algo- pdf. In this series of videos, I'm going through a great book by Dr. William Hamilton ( cs.mcgill.ca/~wlh/) titled " 1/27/2021 New Technologies in Mathematics Speaker(s): Carl Allen and Ivana Balažević, Univ. of Edinburgh School of ... ... say when i give talks on graph neural networks that i'm gonna come here to talk to you about To along with the course, visit the course website: snap.stanford.edu/class/cs224w-2023/ Jure Leskovec Professor of ...