The objective of topic inference in research proposals aims to obtain th...
With the development of natural language processing techniques(NLP),
aut...
Graph contrastive learning (GCL) has been an emerging solution for graph...
Funding agencies are largely relied on a topic matching between domain
e...
The peer merit review of research proposals has been the major mechanism...
With the growth of the academic engines, the mining and analysis acquisi...
To advance the development of science and technology, research proposals...
Data augmentation aims to generate new and synthetic features from the
o...
Single Image Super-resolution (SISR) produces high-resolution images wit...
Knowledge graph embedding (KGE) models learn to project symbolic entitie...
Most researches for knowledge graph completion learn representations of
...
While Graph Neural Network (GNN) has shown superiority in learning node
...