Message Passing Neural Networks (MPNNs) have emerged as the de facto
sta...
Large Language Models (LLMs) with strong abilities in natural language
p...
Link prediction is a crucial problem in graph-structured data. Due to th...
Graph neural networks (GNNs) have shown remarkable performance on divers...
Graph Neural Networks (GNNs) have been widely used on graph data and hav...
Link prediction (LP) has been recognized as an important task in graph
l...
While Graph Neural Networks (GNNs) have demonstrated their efficacy in
d...
Molecular representation learning (MRL) is a key step to build the conne...
Learning effective recipe representations is essential in food studies.
...
Recipe recommendation systems play an essential role in helping people d...
Multi-task learning (MTL) has become increasingly popular in natural lan...
Comprehensively evaluating and comparing researchers' academic performan...
Generating paragraphs of diverse contents is important in many applicati...
The recent success of graph neural networks has significantly boosted
mo...
Recently, due to the booming influence of online social networks, detect...