activity
20222026
most citedGraph Dimension Attention Networks for Enterprise Credit Assessment

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Traceable Latent Variable Discovery Based on Multi-Agent Collaboration

Huaming Du, Tao Hu, Yijie Huang +5

Revealing the underlying causal mechanisms in the real world is crucial for scientific and technological progress. Despite notable advances in recent decades, the lack of high-qual…

cs.LG2026

Transferable Graph Condensation from the Causal Perspective

Huaming Du, Yijie Huang, Su Yao +10

The increasing scale of graph datasets has significantly improved the performance of graph representation learning methods, but it has also introduced substantial training challeng…

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.LG2024★ 1 cited

Graph Dimension Attention Networks for Enterprise Credit Assessment

Shaopeng Wei, Beni Egressy, Xingyan Chen +4

Enterprise credit assessment is critical for evaluating financial risk, and Graph Neural Networks (GNNs), with their advanced capability to model inter-entity relationships, are a…

q-fin.RM2022

A Comprehensive Survey on Enterprise Financial Risk Analysis from Big Data and LLMs Perspective

Huaming Du, Cancan Feng, Yuqian Lei +5

Enterprise financial risk analysis aims at predicting the future financial risk of enterprises. Due to its wide and significant application, enterprise financial risk analysis has…