From 29e9630f86d7e73f9efbef2ec73198c16099ef60 Mon Sep 17 00:00:00 2001 From: Michele Catasta Date: Thu, 26 Sep 2019 14:34:27 -0700 Subject: [PATCH] [FIX] typos, wrong URL. --- _config.yml | 9 ++++----- index.md | 2 +- 2 files changed, 5 insertions(+), 6 deletions(-) diff --git a/_config.yml b/_config.yml index 6149685..48f6223 100755 --- a/_config.yml +++ b/_config.yml @@ -1,13 +1,12 @@ baseurl: /cs224w-notes -title: Course on machine learning with graphs -subtitle: Lecture notes for Stanford CS 224W. -author: Manan Shah +title: Course on Machine Learning with Graphs +subtitle: Lecture Notes for Stanford CS224W. simple_search: http://google.com/search -description: LLecture notes for Stanford CS 224W. +description: Lecture Notes for Stanford CS224W. name: cs224w-notes markdown_ext: "markdown,mkdown,mkdn,mkd,md" permalink: /articles/:short_year/:title -timezone: America/New_York +timezone: America/Los_Angeles excerpt_separator: # you can specify your own separator, of course. exclude: ['Gemfile', 'Gemfile.lock', 'Rakefile', 'README.md'] post: diff --git a/index.md b/index.md index 2f263c3..63137a5 100755 --- a/index.md +++ b/index.md @@ -5,7 +5,7 @@ title: Contents These notes form a concise introductory course on machine learning with large-scale graphs. They mirror the topics topics covered by Stanford [CS224W](https://cs224w.stanford.edu), and are written by the CS 224W TAs. {% include marginnote.html id='mn-construction' note='The notes are still under construction! They will be written up as lectures continue to progress. If you find any typos, please let us know, or submit a pull request with your fixes to our [GitHub repository](https://github.com/snap-stanford/cs224w-notes).'%} -You too may help make these notes better by submitting your improvements to us via [GitHub](https://github.com/ermongroup/cs228-notes). Note that submitting substantial improvements will result in *bonus points* being added to your overall grade! +You too may help make these notes better by submitting your improvements to us via [GitHub](https://github.com/snap-stanford/cs224w-notes). Note that submitting substantial improvements will result in *bonus points* being added to your overall grade! Starting with the Fall 2019 offering of CS 224W, the course covers three broad topic areas for understanding and effectively learning representations from large-scale networks: preliminaries, network methods, and machine learning with networks. Subtopics within each area correspond to individual lecture topics.