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20232026
most citedGraph Neural Architecture Search with GPT-4

6 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

q-fin.RM2026

DTD-VAE: Disentangled Temporal Dependencies VAE for Credit Risk Prediction

Xiaobo Guo, Lu-an Dong, Yanbo Wang +3

Evaluating customer creditworthiness is crucial for retail banking operations, as it impacts marketing strategies, customer relationship management, and credit risk control. Tradit…

cs.IR2025★ 2 cited

Hubness Reduction with Dual Bank Sinkhorn Normalization for Cross-Modal Retrieval

Zhengxin Pan, Haishuai Wang, Fangyu Wu +2

The past decade has witnessed rapid advancements in cross-modal retrieval, with significant progress made in accurately measuring the similarity between cross-modal pairs. However,…

cs.LG2025

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search

Yang Gao, Hong Yang, Yizhi Chen +3

Graph Neural Architecture Search (GNAS) facilitates the automatic design of Graph Neural Networks (GNNs) tailored to specific downstream graph learning tasks. However, existing GNA…

cs.AI2023★ 2 cited

Heterogeneous Graph Neural Architecture Search with GPT-4

Haoyuan Dong, Yang Gao, Haishuai Wang +2

Heterogeneous graph neural architecture search (HGNAS) represents a powerful tool for automatically designing effective heterogeneous graph neural networks. However, existing HGNAS…

cs.LG2023★ 6 cited

Graph Neural Architecture Search with GPT-4

Haishuai Wang, Yang Gao, Xin Zheng +3

Graph Neural Architecture Search (GNAS) has shown promising results in finding the best graph neural network architecture on a given graph dataset. However, existing GNAS methods s…