v2.0.0

We extend the initial release in two prime directions:
(1) The first of its kind in neural team formation, we integrated debiasing reranking algorithms to mitigate the popularity and gender disparities in the neural models' team recommendations based on two alternative notions of fairness: equality of opportunity and demographic parity.
(2) We further contribute a temporal training strategy for neural models' training to capture the evolution of experts' skills and collaboration ties over time, as opposed to randomly shuffled training datasets.

v0.1.0.0

This is the initial release of OpeNTF and provide the following features:

Neural Models:

• Feedforward Neural Network
• Variational Bayesian Neural Network

Negative Samplings:

• Uniform
• Unigram
• Unigram in Minibatches

Datasets:

• DBLP
• IMDB
• USPTO