Multiset Function

Multiset functions, which handle sets allowing repeated elements, are a focus of current research due to their relevance in diverse fields like information retrieval and machine learning. Researchers are developing neural network architectures, such as Deep Sets and variations thereof, to efficiently represent and learn these functions, often employing contrastive learning or maximum likelihood methods for training. These advancements aim to improve the performance of tasks involving complex queries, set operations, and permutation-invariant computations on various data types, including vectors and tensors. The resulting models show promise for applications ranging from knowledge graph querying to signal processing and drug discovery.