4 papers
Wisteria: A Unified Multi-Scale Feature Learning Framework for DNA Language Model
Weihua Wang, Haoji Li, Feilong Bao +2
DNA language model aims to decipher the regulatory grammar and semantic of genomes by capturing long range dependencies in DNA sequences. Existing methods emphasize long range toke…
Distance-Adaptive Quaternion Knowledge Graph Embedding with Bidirectional Rotation
Weihua Wang, Qiuyu Liang, Feilong Bao +1
Quaternion contains one real part and three imaginary parts, which provided a more expressive hypercomplex space for learning knowledge graph. Existing quaternion embedding models…
Unifying Dual-Space Embedding for Entity Alignment via Contrastive Learning
Cunda Wang, Weihua Wang, Qiuyu Liang +2
Entity alignment aims to match identical entities across different knowledge graphs (KGs). Graph neural network-based entity alignment methods have achieved promising results in Eu…
Fully Hyperbolic Rotation for Knowledge Graph Embedding
Qiuyu Liang, Weihua Wang, Feilong Bao +1
Hyperbolic rotation is commonly used to effectively model knowledge graphs and their inherent hierarchies. However, existing hyperbolic rotation models rely on logarithmic and expo…