Entity alignment (EA) aims to find entities in different knowledge graph...
In clinical or epidemiological follow-up studies, methods based on time ...
Pun location is to identify the punning word (usually a word or a phrase...
The year of 2020 has witnessed the unprecedented development of 5G netwo...
In clinical and epidemiological studies, hazard ratios are often applied...
In the process of clinical diagnosis and treatment, the restricted mean
...
We consider the problem of explaining the predictions of graph neural
ne...
This paper considers semi-discrete and fully discrete mixed finite eleme...
Investigating graph feature learning becomes essentially important with ...
Deep learning methods are achieving ever-increasing performance on many
...
Grouping has been commonly used in deep metric learning for computing di...
Turn-level user satisfaction is one of the most important performance me...
Protein interactions are important in a broad range of biological proces...
Graphs neural networks (GNNs) learn node features by aggregating and
com...
Measuring user satisfaction level is a challenging task, and a critical
...
In this demo paper, we present the XFake system, an explainable fake new...
Visualizing the details of different cellular structures is of great
imp...
The key idea of variational auto-encoders (VAEs) resembles that of
tradi...
Deconvolutional layers have been widely used in a variety of deep models...