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Graph Representation Learning: William L. Hamilton - 2021 McGill AI Learnathon
Graph Representation Learning and Its Applications | Cheng-Te Li | ACML 2021
Knowledge Graph Reasoning with Graph Neural Networks, Zhaocheng Zhu
GraphSAGE - Inductive Representation Learning on Large Graphs - Paper Overview
Theoretical Foundations of Graph Neural Networks
Towards Foundation Models for Knowledge Graph Reasoning | Mikhail Galkin
ULTRA: Foundation Models for Knowledge Graph Reasoning
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Last Updated: October 18, 2026
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He is known for his research contributions in Organizers: Petar Velickovic, Andreea Deac, and Andrew Dudzik Abstract: Neural networks that are able to reliably execute ... Slide link: snap.stanford.edu/class/cs224w-2018/handouts/09-node2vec.pdf. Recent years have seen a surge in research on If you have any copyright issues on video, please send us an email at khawar512 Portal is the home of the AI for drug discovery community. Join for more details on this talk and to connect with the speakers: ... New Deep Learning Techniques 2018 "Large-scale DS4DM Coffee Talk The Melting Pot of Neural Dr. Petar Veličković is a Staff Research Scientist at DeepMind, he has firmly established himself as one of the most significant up ... In this talk, we will present Bootstrapped
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