ACM

Historical Embedding-Guided Efficient Large-Scale Federated Graph Learning
Graph convolutional networks (GCNs) are promising for graph learning tasks. For privacy-preserving graph learning tasks involving …
Expand BERT Representation with Visual Information via Grounded Language Learning with Multimodal Partial Alignment
In natural language processing, most models try to learn semantic representations merely from texts. The learned representations encode …