Many models such as Long Short Term Memory (LSTMs), Gated Recurrent Units (GRUs) and transformers have been developed to classify time series data with the assumption that events in a sequence are ordered. On other hand, fewer for set based inputs, where order does not matter. There several use cases is given partially-ordered sequences because of granularity or uncertainty stamps. We introduce...