The motivations of users to make interactions can be divided into static...
Graph Neural Networks (GNNs) are widely used for graph representation
le...
Graph Neural Networks (GNNs) are widely used for graph representation
le...
Attributed event sequences are commonly encountered in practice. A recen...
Reducing domain divergence is a key step in transfer learning problems.
...
We study the stochastic Riemannian gradient algorithm for matrix
eigen-d...