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Semi Supervised Graph Neural networks

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I need a young and energetic Machine learning Engineer/ Computer science / Mathematics student studying (5th-year students) or working proficiently.
The skills I am keenly interested in are:
Good programming skills in python, knowledge of graph Neural networks like deep walk, GCN, and Autoencoders, knowledge of semi-supervised learning.
Working experience on Pytorch in general editing is additional skills but not compulsory.
Having some previous machine learning work with Graph neural network is a plus to see your benchmark but not compulsory. Send me your portfolio to give me a rough idea of your work.

Work:
I will provide you a Network file which is a graph with its weighted edge list, label file which contains has binary multilabel for some nodes in the graph.
I am expecting a machine learning model to predict the binary multilabel for unknown nodes from the network.

Work tentatively for 7 to 10 days (full time). Around 6 to 7 hours work daily.