Search Results for author:
Found 3 papers, 0 papers with code
MLIM: Vision-and-Language Model Pre-training with Masked Language and Image Modeling
Vision-and-Language Pre-training (VLP) improves model performance for downstream tasks that require image and text inputs.
Hypergraph Pre-training with Graph Neural Networks
Despite the prevalence of hypergraphs in a variety of high-impact applications, there are relatively few works on hypergraph representation learning, most of which primarily focus on hyperlink prediction, often restricted to the transductive learning setting.
Graph Neural Networks for Inconsistent Cluster Detection in Incremental Entity Resolution
In this case, the problem becomes a classification task on weighted graphs and represents an interesting application area for modern tools such as Graph Neural Networks (GNNs).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
