AEGraph: Node attribute-enhanced graph encoder method
K Sun, L Qiu, W Zhao - Expert Systems with Applications, 2024 - Elsevier
Graph representation learning faces challenges in node classification tasks due to the
intricate interplay between node categories, topological structure, significant characteristics …
intricate interplay between node categories, topological structure, significant characteristics …
SimCPD: a simple framework for contrastive prompts of target-aspect-sentiment joint detection
C Ke, Q Xiong, C Wu, H Yi, M Gao, J Chen - Neural Computing and …, 2023 - Springer
Target-aspect-sentiment detection (TASD) task is a vital task for aspect-based sentiment
analysis, which aims to detect (target, aspect, sentiment) triples from sentences. However …
analysis, which aims to detect (target, aspect, sentiment) triples from sentences. However …
RIECN: learning relation-based interactive embedding convolutional network for knowledge graph
Most knowledge graphs (KGs) are large and incomplete graph-structure database, which
can be completed by predicting miss links according to the existing knowledge. The …
can be completed by predicting miss links according to the existing knowledge. The …
Metapath and attribute-based academic collaborator recommendation in heterogeneous academic networks
H Li, Y Hu - Scientometrics, 2024 - Springer
Academic collaboration is fundamental to the advancement of scientific research. However,
with the growing number of publications and researchers, it becomes increasingly …
with the growing number of publications and researchers, it becomes increasingly …