CS224W: Machine Learning with Graphs
GPTKB entity
Statements (28)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:university
|
| gptkbp:course |
gptkb:CS224W
|
| gptkbp:creditHours |
3-4
|
| gptkbp:department |
gptkb:Computer_Science_Department
|
| gptkbp:focusesOn |
gptkb:machine_learning
graph theory network analysis |
| gptkbp:hasWebsite |
https://web.stanford.edu/class/cs224w/
|
| https://www.w3.org/2000/01/rdf-schema#label |
CS224W: Machine Learning with Graphs
|
| gptkbp:languageOfInstruction |
English
|
| gptkbp:level |
graduate
|
| gptkbp:location |
gptkb:Stanford,_California
|
| gptkbp:notableFaculty |
gptkb:Jure_Leskovec
|
| gptkbp:offeredBy |
gptkb:Stanford_University
Autumn Quarter |
| gptkbp:prerequisite |
gptkb:probability_theory
linear algebra machine learning basics |
| gptkbp:teaches |
representation learning
graph neural networks graph representation learning community detection link prediction node classification graph mining network embeddings |
| gptkbp:bfsParent |
gptkb:Jure_Leskovec
|
| gptkbp:bfsLayer |
6
|