activity
20222025
most citedStock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention Networks

12 citations · 12 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2025

Towards Comprehensive Information-theoretic Multi-view Learning

Long Shi, Yunshan Ye, Wenjie Wang +4

Information theory has inspired numerous advancements in multi-view learning. Most multi-view methods incorporating information-theoretic principles rely an assumption called multi…

cs.CE2025

Identifying Evidence Subgraphs for Financial Risk Detection via Graph Counterfactual and Factual Reasoning

Huaming Du, Lei Yuan, Qing Yang +6

Company financial risks pose a significant threat to personal wealth and national economic stability, stimulating increasing attention towards the development of efficient andtimel…

cs.SD2024

Melody-Guided Music Generation

Shaopeng Wei, Manzhen Wei, Haoyu Wang +2

We present the Melody-Guided Music Generation (MG2) model, a novel approach using melody to guide the text-to-music generation that, despite a simple method and limited resources,…

cs.LG2022

Learning Bi-typed Multi-relational Heterogeneous Graph via Dual Hierarchical Attention Networks

Yu Zhao, Shaopeng Wei, Huaming Du +5

Bi-type multi-relational heterogeneous graph (BMHG) is one of the most common graphs in practice, for example, academic networks, e-commerce user behavior graph and enterprise know…

q-fin.ST2022★ 12 cited

Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention Networks

Yu Zhao, Huaming Du, Ying Liu +6

Stock Movement Prediction (SMP) aims at predicting listed companies' stock future price trend, which is a challenging task due to the volatile nature of financial markets. Recent f…