Graph Powered Machine Learning

Slides

Slides can be found here.

The exercises can be found here, please refer to slides for logistics.

Name		Name	Last commit message	Last commit date
Latest commit History 89 Commits
data		data
excercises		excercises
img		img
tools		tools
.gitattributes		.gitattributes
.gitignore		.gitignore
Basic_GCN.ipynb		Basic_GCN.ipynb
DGL.ipynb		DGL.ipynb
Fraud_Detection.ipynb		Fraud_Detection.ipynb
Graph_Analytics.ipynb		Graph_Analytics.ipynb
Graph_properties.ipynb		Graph_properties.ipynb
Graphs_Queries.ipynb		Graphs_Queries.ipynb
Metadata.ipynb		Metadata.ipynb
NetworkX.ipynb		NetworkX.ipynb
Node2Vec.ipynb		Node2Vec.ipynb
Node2VecIntro.ipynb		Node2VecIntro.ipynb
PyG_MP.ipynb		PyG_MP.ipynb
PyG_NC.ipynb		PyG_NC.ipynb
README.md		README.md
Sparql.ipynb		Sparql.ipynb
Spectral_Graph.ipynb		Spectral_Graph.ipynb
creds.dat		creds.dat
oasis.py		oasis.py