Vision Transformers (ViTs) have achieved impressive results in large-scale image classification. However, when training from scratch on small datasets, there is still a significant performance gap ...
The task of knowledge graph completion (KGC) is to infer missing links that exist between entities in knowledge graphs (KGs). However, real-world KGs are typically structurally sparse, resulting in ...
High sparse Knowledge Graph is a key challenge to solve the Knowledge Graph Completion task. Due to the sparsity of the KGs, there are not enough first-order neighbors to learn the features of ...
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