Rethinking Graph Contrastive Learning: An Efficient Single-View Approach via Instance Discrimination
Abstract: With the successful integration of contrastive learning and graph neural networks, graph contrastive learning (GCL) has demonstrated superior performance in graph representation learning.
Abstract: Scene graph generation (SGG) of surgical procedures is crucial in enhancing holistically cognitive intelligence in the operating room (OR). However, previous works have primarily relied on ...
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