The multi-modal entity alignment (MMEA) aims to find all equivalent enti...
The Pretrained Foundation Models (PFMs) are regarded as the foundation f...
Contrastive Learning (CL) has been proved to be a powerful self-supervis...
Event detection in power systems aims to identify triggers and event typ...
Data compression has been widely adopted to release mobile devices from
...
Topology-imbalance is a graph-specific imbalance problem caused by the u...
Generative adversarial network (GAN) is widely used for generalized and
...
Graph Neural Networks (GNNs) have shown promising results on a broad spe...
Federated learning (FL) supports training models on geographically
distr...
Graph Neural Networks (GNNs) have been widely studied in various graph d...
Heterogeneous information network (HIN) embedding has gained increasing
...