For a complicated algorithm, its implementation by a human programmer us...
Link prediction is central to many real-world applications, but its
perf...
Learning efficient and interpretable policies has been a challenging tas...
Although the bipartite shopping graphs are straightforward to model sear...
Large-scale graph training is a notoriously challenging problem for grap...
Recent studies on Learning to Optimize (L2O) suggest a promising path to...
Vision Transformer (ViT) has recently demonstrated promise in computer v...
In this work, we demonstrate a novel system, namely Web of Scholars, whi...
Graph Neural Networks (GNNs) have achieved state of the art performance ...
Multi-agent control is a central theme in the Cyber-Physical Systems (CP...
Training deep graph neural networks (GNNs) is notoriously hard. Besides ...
In this paper, we present a perception-action-communication loop design ...
With the complexity of the network structure, uncertainty inference has
...