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KDD 2020: Lecture Style Tutorials: Deep Graph Learning Foundations, Advances and Applications
Toward Universal Graph Representations: Foundations and Frontiers of Graph Foundation Models
Graph Neural Networks Explained: A Clear Guide to GNN Basics & Models
3. Graph-theoretic Models
Graph Neural Networks - a perspective from the ground up
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Last Updated: October 31, 2026
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Chuan Shi, Beijing University of Posts and Telecommunications, Beijing, China Cheng Yang, Beijing University of Posts and ... Michael Brontstein (Oxford) simons.berkeley.edu/talks/michael-brontstein-oxford-2024-06-30 Decoding Communication in ... Mikhail Galkin (Google Research) simons.berkeley.edu/talks/mikhail-galkin-google-research-2025-08-11 Yu Rong (Tencent AI Lab); Wenbing Huang (Tsinghua University); Tingyang Xu (Tencent AI Lab); Hong Cheng (Chinese ... Bruno Riberio (Purdue University) simons.berkeley.edu/talks/bruno-riberio-purdue-university-2025-08-13 MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016 View the complete course: ... Slide link: snap.stanford.edu/class/cs224w-2018/handouts/09-node2vec.pdf.
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