What is Feature Engineering for Graphs? #Shorts

Feature rich engineering in Graph Representation Learning. Theory heavy presentation. "Feature Engineering" is an essential task for Feature Learning in Graphs. We apply our ML toolkit to this new Graph representations.

We map every node in a network into a vector of numbers in a low dimensional vector space. We will call this vector an embedding (a node embedding) in a vector space, a feature representation.

Highly recommend for deeper insights the university lecture by Prof. Jure Leskovec, Stanford university, CS224W.

#shorts
#machinelearningwithpython
#graphs
#engineering
#learning
#representation
#representationlearning
#vector
#vectorspace
#stanforduniversity