2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.AI2023
Prior Bilinear Based Models for Knowledge Graph Completion
Jiayi Li, Ruilin Luo, Jiaqi Sun +2
Bilinear based models are powerful and widely used approaches for Knowledge Graphs Completion (KGC). Although bilinear based models have achieved significant advances, these studie…
cs.LG2023★ 1 cited
D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching
Xuanzhou Liu, Lin Zhang, Jiaqi Sun +2
Subgraph matching is a fundamental building block for graph-based applications and is challenging due to its high-order combinatorial nature. Existing studies usually tackle it by…
cs.LG2023★ 2 cited
Feature Expansion for Graph Neural Networks
Jiaqi Sun, Lin Zhang, Guangyi Chen +3
Graph neural networks aim to learn representations for graph-structured data and show impressive performance, particularly in node classification. Recently, many methods have studi…