playlistduration

Stanford CS224W Machine Learning with Graphs I Jure Leskovec

by Stanford Online · 47 videos

Total watch time

1d 8m

at 1× speed · exactly 1 day, 8 minutes, 11 seconds at 1×

1×1d 8m 11s
1.25×19h 18m 33s
1.5×16h 5m 27s
1.75×13h 47m 32s
2×12h 4m 6s
Average video30m 49s
Longest1h 21m 26s
Shortest5m 51s
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Videos (47)

1d 8m in total · tick what you've watched

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Watched
1 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 1.1 - Why Graphs 11:55 2021-04-13
2 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 1.2 - Applications of Graph ML 20:27 2021-04-13
3 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 1.3 - Choice of Graph Representation​ 20:27 2021-04-13
4 Stanford CS224W: ML with Graphs | 2021 | Lecture 2.1 - Traditional Feature-based Methods: Node 27:30 2021-04-15
5 Stanford CS224W: ML with Graphs | 2021 | Lecture 2.2 - Traditional Feature-based Methods: Link 16:47 2021-04-15
6 Stanford CS224W: ML with Graphs | 2021 | Lecture 2.3 - Traditional Feature-based Methods: Graph 20:10 2021-04-15
7 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 3.1 - Node Embeddings 14:44 2021-04-20
8 Stanford CS224W: ML with Graphs | 2021 | Lecture 3.2-Random Walk Approaches for Node Embeddings 27:07 2021-04-20
9 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 3.3 - Embedding Entire Graphs 18:04 2021-04-20
10 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 4.1 - PageRank 27:10 2021-04-22
11 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 4.2 - PageRank: How to Solve? 20:41 2021-04-22
12 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 4.3 - Random Walk with Restarts 13:31 2021-04-22
13 Stanford CS224W: ML with Graphs | 2021 | Lecture 4.4 - Matrix Factorization and Node Embeddings 12:48 2021-04-22
14 Stanford CS224W: Machine Learning w/ Graphs I 2023 I Graph Neural Networks 1:16:18 2023-12-07
15 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 7.1 - A general Perspective on GNNs 5:51 2021-05-04
16 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 7.2 - A Single Layer of a GNN 40:09 2021-05-04
17 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 7.3 - Stacking layers of a GNN 18:11 2021-05-04
18 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 8.1 - Graph Augmentation for GNNs 27:50 2021-05-06
19 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 8.2 - Training Graph Neural Networks 40:19 2021-05-06
20 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 8.3 - Setting up GNN Prediction Tasks 17:49 2021-05-06
21 Stanford CS224W: ML with Graphs | 2021 | Lecture 9.1 - How Expressive are Graph Neural Networks 25:21 2021-05-11
22 Stanford CS224W: ML with Graphs | 2021 | Lecture 9.2 - Designing the Most Powerful GNNs 31:52 2021-05-11
23 Stanford CS224W: Machine Learning w/ Graphs I 2023 I Label Propagation on Graphs 1:18:39 2023-12-07
24 Stanford CS224W: Machine Learning w/ Graphs I 2023 I Machine Learning with Heterogeneous Graphs 1:18:51 2023-12-07
25 Stanford CS224W: Machine Learning w/ Graphs I 2023 I Knowledge Graph Embeddings 1:10:05 2023-12-07
26 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 11.1 - Reasoning in Knowledge Graphs 16:53 2021-05-18
27 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 11.2 - Answering Predictive Queries 12:39 2021-05-18
28 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 11.3 - Query2box: Reasoning over KGs 38:20 2021-05-18
29 Stanford CS224W: ML with Graphs | 2021 | Lecture 12.1-Fast Neural Subgraph Matching & Counting 35:40 2021-05-20
30 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 12.2 - Neural Subgraph Matching 24:54 2021-05-17
31 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 12.3 - Finding Frequent Subgraphs 25:54 2021-05-20
32 Stanford CS224W: ML with Graphs | 2021 | Lecture 13.1 - Community Detection in Networks 22:14 2021-05-25
33 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 13.2 - Network Communities 17:41 2021-05-25
34 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 13.3 - Louvain Algorithm 15:20 2021-05-25
35 Stanford CS224W: ML with Graphs | 2021 | Lecture 13.4 - Detecting Overlapping Communities 23:57 2021-05-25
36 Stanford CS224W: Machine Learning w/ Graphs I 2023 I GNNs for Recommender Systems 1:18:47 2023-12-07
37 Stanford CS224W: ML with Graphs | 2021 | Lecture 15.1 - Deep Generative Models for Graphs 15:44 2021-06-01
38 Stanford CS224W: ML with Graphs | 2021 | Lecture 15.2 - Graph RNN: Generating Realistic Graphs 24:52 2021-06-01
39 Stanford CS224W: ML with Graphs | 2021 | Lecture 15.3 - Scaling Up & Evaluating Graph Gen 15:29 2021-06-01
40 Stanford CS224W: ML with Graphs | 2021 | Lecture 15.4 - Applications of Deep Graph Generation 13:35 2021-06-01
41 Stanford CS224W: Machine Learning w/ Graphs I 2023 I Advanced Topics in GNNs 1:14:33 2023-12-07
42 Stanford CS224W: ML with Graphs | 2021 | Lecture 17.1 - Scaling up Graph Neural Networks 14:51 2021-06-08
43 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 17.2 - GraphSAGE Neighbor Sampling 16:50 2021-06-08
44 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 17.3 - Cluster GCN: Scaling up GNNs 19:18 2021-06-08
45 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 17.4 - Scaling up by Simplifying GNNs 18:40 2021-06-08
46 Stanford CS224W: Machine Learning w/ Graphs I 2023 I Geometric Graph Learning, Minkai Xu 1:17:58 2023-12-07
47 Stanford CS224W: Machine Learning w/ Graphs I 2023 I Trustworthy Graph AI, Rex Ying 1:21:26 2023-12-07

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