Domain Adaptation

Attraction and Repulsion: Unsupervised Domain Adaptive Graph Contrastive Learning Network
Graph convolutional networks (GCNs) are important techniques for many graph related analytics tasks. To date, most GCNs are designed …
Unsupervised Domain Adaptive Graph Convolutional Networks
Graph convolutional networks (GCNs) have achieved impressive success in many graph related analytics tasks. However, most GCNs only …
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Domain-Adversarial Graph Neural Networks for Text Classification
Text classification, in cross-domain setting, is a challenging task. On the one hand, data from other domains are often useful to …
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