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Jiuchang Wei

2 accepted papers

2024

KGDM: A Diffusion Model to Capture Multiple Relation Semantics for Knowledge Graph Embedding

AAAI 2024technical

Knowledge graph embedding (KGE) is an efficient and scalable method for knowledge graph completion. However, most existing KGE methods suffer from the challenge of multiple relation semantics, which often degrades their performance. This is because most KGE methods learn fixed continuous vectors for…

2024

Learning Label Dependencies for Visual Information Extraction

IJCAI 2024poster

Visual Information Extraction (VIE), which aims to extract structured information from visually rich document images, has drawn much attention due to its wide applications in document understanding. However, previous methods often treat the VIE task as a sequence labeling problem and ignore the labe…

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