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Abstract: Self-supervised space-time correspondence learning utilizing unlabeled videos holds great potential in computer vision. Most existing methods rely on contrastive learning with mining ...
Abstract: Knowledge Graphs (KGs) are becoming increasingly essential infrastructures in many applications while suffering from incompleteness issues. The KG Completion (KGC) task automatically ...
An official source code for paper CONVERT:Contrastive Graph Clustering with Reliable Augmentation, accepted by ACM MM 23. Any communications or issues are welcomed. Please contact xihong_edu@163.com.
@article{xiong2021multi, title={Multi-instance learning of graph neural networks for aqueous pKa prediction}, author={Xiong, Jiacheng and Zhaojun Li and Guangchao Wang and Zunyun Fu and Feisheng Zhong ...
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