Transformer and its variants are a powerful class of architectures for
s...
Collaborative Filtering (CF) has been successfully used to help users
di...
Graph Neural Networks (GNNs) have achieved impressive performance in
col...
There has been an explosion of interest in designing various Knowledge G...
Transformer-based sequential recommenders are very powerful for capturin...
Node classification for graph-structured data aims to classify nodes who...
The matrix profile is an effective data mining tool that provides simila...
Predicting metrics associated with entities' transnational behavior with...
Word vector embeddings have been shown to contain and amplify biases in ...
Digital payment volume has proliferated in recent years with the rapid g...
The multivariate time series generated from merchant transaction history...
The last decade has seen a flurry of research on all-pairs-similarity-se...
Since its introduction, unsupervised representation learning has attract...
The UCR Time Series Archive - introduced in 2002, has become an importan...