1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.DB2026
Dual-Metric Partitioning with Adaptive Kernel Execution for Efficient GCN Acceleration
Lingling Zhang, Hang Zeng, Pengpeng Qiao +3
Graph Convolutional Networks (GCNs) are widely used for large graph-structured data, including social, citation, and e-commerce networks, but their deployment is constrained by irr…
cs.AI2024★ 1 cited
FinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models
Ziqiang Yuan, Kaiyuan Wang, Shoutai Zhu +4
Large Language models (LLMs) usually rely on extensive training datasets. In the financial domain, creating numerical reasoning datasets that include a mix of tables and long text…
cs.CL2023
ConvD: Attention Enhanced Dynamic Convolutional Embeddings for Knowledge Graph Completion
Wenbin Guo, Zhao Li, Xin Wang +4
Knowledge graphs often suffer from incompleteness issues, which can be alleviated through information completion. However, current state-of-the-art deep knowledge convolutional emb…