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} .d-flex { display: flex!important; } *, :after, :before { box-sizing: border-box; } .v-social-link:after, .v-social-link:before, a.v-social-link:after, a.v-social-link:before { display: none; } .TopHeader { width: 100%; min-height: 33px; background-color: #000000; } .TopHeader .goog-te-combo { font-size: 12px; } /*********************************************/ ul.list-style-none { /*padding-left: none;*/ list-style: none; padding-right: 24px; } @media (max-width: 932px) { ul.list-style-none { /*padding-left: none;*/ list-style: none; padding-right: 24px; display: none; } } .col, .col-2, .col-3, .col-4, .col-5, .col-6, .col-7, .col-8, .col-9, .col-10, .col-11, .col-12, .col-auto, .col-lg, .col-lg-1, .col-lg-2, .col-lg-3, .col-lg-4, .col-lg-5, .col-lg-6, .col-lg-7, .col-lg-8, .col-lg-9, .col-lg-10, .col-lg-12, .col-lg-auto, .col-md, .col-md-1, .col-md-2, .col-md-3, .col-md-4, .col-md-5, .col-md-6, .col-md-7, .col-md-8, .col-md-9, .col-md-10, .col-md-12, .col-md-auto, .col-sm-2, .col-sm-4, .col-sm-6, .col-sm-8, .col-sm-10, .col-sm-11, .col-sm-12, .col-sm-auto, .col-xl-1, .col-xl-2, .col-xl-3, .col-xl-4, .col-xl-5, .col-xl-6, .col-xl-7, .col-xl-8, .col-xl-12 { position: relative; 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Technical Blogs

Data Science

Predicting Risk through Network Shape
Encoding network shape has been a big factor in the success of our recent shell company detection machine learning model. Central to the model is the ability to evaluate the context of a business – given by the network of nodes surrounding it – in a way that can be input into explainable ML models. Early on in our…