Contrast consistency, the ability of a model to make consistently correc...
Graph Neural Networks (GNNs) have drawn significant attentions over the ...
Graph structure learning (GSL), which aims to learn the adjacency matrix...
A common thread of open-domain question answering (QA) models employs a
...
Self-supervised learning (SSL) for graph neural networks (GNNs) has attr...
Knowledge-intensive tasks, such as open-domain question answering (QA),
...
Graph Neural Networks (GNNs) have drawn significant attentions over the ...
Graph neural networks (GNNs) have demonstrated great success in
represen...
Graph neural networks (GNNs) have been broadly studied on dynamic graphs...