Reports
Created by
Created On
Last edited
staceyMachine Learning With Graphs.
Class Notes for CS224W (http://web.stanford.edu/class/cs224w/)
23
syllogismos2020-12-26
8.Graph Neural Networks
Key intuition behind GNN and study Convolutions on graphs, GCN, GraphSAGE, Graph Attention Networks.
4
2020-12-22
7.Graph Representation Learning
Figuring out embeddings of nodes that represent node similarity within the networks
2
2020-12-22
6.Message Passing and Node Classification
How to make use of network structure and neighbourhood correlations to classify nodes.
2
2020-12-22
5.Spectral Clustering
Spectral Clustering algorithms. Using Eigenvectors of the matrix representations to cluster nodes into communities.
1
2020-12-22
2.Properties of Networks and Random Graph Models
How do you characterize properties of networks and what kind of models do we use to generate realistic networks?
1
2020-12-21