29 citations · 43 across the 3 of their papers we have counts for
3 papers
cs.AI2022★ 12 cited
TripleRE: Knowledge Graph Embeddings via Tripled Relation Vectors
Long Yu, Zhicong Luo, Huanyong Liu +3
Translation-based knowledge graph embedding has been one of the most important branches for knowledge representation learning since TransE came out. Although many translation-based…
cs.CL2022★ 2 cited
StarGraph: Knowledge Representation Learning based on Incomplete Two-hop Subgraph
Hongzhu Li, Xiangrui Gao, Linhui Feng +2
Conventional representation learning algorithms for knowledge graphs (KG) map each entity to a unique embedding vector, ignoring the rich information contained in the neighborhood.…
cs.CV2019★ 29 cited
Reinterpreting CTC training as iterative fitting
Hongzhu Li, Weiqiang Wang
The connectionist temporal classification (CTC) enables end-to-end sequence learning by maximizing the probability of correctly recognizing sequences during training. The outputs o…