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aideep-diveReading Stanford CS124 From Languages to Information

PageRank and Social Networks: From Anchor Text and Centrality to the Course Wrap-Up | Stanford CS124 Week 10

Week 10 treats web pages and human relationships as graphs. Link analysis teaches anchor text and PageRank: the long-run probability that someone clicking links at random is on a page is that page's score. Social networks covers centrality, the clustering coefficient, small worlds and weak ties. The final live lecture returns to LLMs with preference alignment, interpretability and machine translation.

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aideep-diveReading Stanford CS224W Machine Learning with Graphs

Machine Learning with Graphs: Where the 19 Lectures Focus and the Six Colab Assignments | Stanford CS224W Course Overview

CS224W is Stanford's machine learning with graphs course: nineteen lectures from node embeddings, GNNs, graph transformers and knowledge graphs to relational deep learning and GNNs with LLMs. The slides, three written homeworks and six Colabs are public and run as downloaded; the public recordings date from 2021, so the newer topics in the second half exist only as slides, and the exam and autograding are out of reach.

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