Stanford CS224W: ML with Graphs | 2021 | Lecture 2.3 - Traditional Feature-based Methods: Graph
71.6 هزار بار بازدید -
3 سال پیش
-
For more information about Stanford’s
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3vLi05C
Traditional Feature-based Methods: Graph-level features
Jure Leskovec
Computer Science, PhD
In this video, we focus on extracting features from the graphs as a whole. In other words, we want features that characterize the structure of entire graphs. Specifically, we’re interested in graph kernel methods that measure the similarity between two graphs. We’ll describe different approaches to extracting such graph kernels, including Graphlet features and WL kernels.
To follow along with the course schedule and syllabus, visit:
http://web.stanford.edu/class/cs224w/
0:00 Introduction
0:56 Background: Kernel Methods
2:48 Graph-Level Features: Overview
3:25 Graph Kernel: Key Idea
5:56 Graphlet Features
8:20 Graphlet Kernel
12:35 Color Refinement (1)
15:13 Weisfeiler-Lehman Graph Features
16:32 Weisfeiler-Lehman Kernel
17:45 Graph-Level Features: Summary
19:07 Today's Summary
Traditional Feature-based Methods: Graph-level features
Jure Leskovec
Computer Science, PhD
In this video, we focus on extracting features from the graphs as a whole. In other words, we want features that characterize the structure of entire graphs. Specifically, we’re interested in graph kernel methods that measure the similarity between two graphs. We’ll describe different approaches to extracting such graph kernels, including Graphlet features and WL kernels.
To follow along with the course schedule and syllabus, visit:
http://web.stanford.edu/class/cs224w/
0:00 Introduction
0:56 Background: Kernel Methods
2:48 Graph-Level Features: Overview
3:25 Graph Kernel: Key Idea
5:56 Graphlet Features
8:20 Graphlet Kernel
12:35 Color Refinement (1)
15:13 Weisfeiler-Lehman Graph Features
16:32 Weisfeiler-Lehman Kernel
17:45 Graph-Level Features: Summary
19:07 Today's Summary
3 سال پیش
در تاریخ 1400/01/26 منتشر شده
است.
71,613
بـار بازدید شده