GraphNAS: Graph Neural Architecture Search with Reinforcement Learning. - Yang Gao 024; Hong Yang 003; Peng Zhang 001; Chuan Zhou 001; Yue Hu 002 (CoRR, 2019)

Graph Neural Architecture Search. - Yang Gao 024; Hong Yang 003; Peng Zhang 001; Chuan Zhou 001; Yue Hu 002 (IJCAI, 2020)

Heterogeneous Graph Neural Architecture Search. - Yang Gao 024; Peng Zhang 001; Zhao Li 007; Chuan Zhou 001; Yongchao Liu; Yue Hu 002 (ICDM, 2021)

Graph Neural Architecture Search with GPT-4. - Haishuai Wang; Yang Gao 024; Xin Zheng 008; Peng Zhang 001; Hongyang Chen; Jiajun Bu (CoRR, 2023)

Heterogeneous Graph Neural Architecture Search with GPT-4. - Haoyuan Dong; Yang Gao 024; Haishuai Wang; Hong Yang 003; Peng Zhang 001 (CoRR, 2023)

GraphNAS++: Distributed Architecture Search for Graph Neural Networks. - Yang Gao 024; Peng Zhang 001; Hong Yang 003; Chuan Zhou 001; Yue Hu 002; Zhihong Tian; Zhao Li 007; Jingren Zhou 001 (IEEE Trans. Knowl. Data Eng., 2023)

HGNAS++: Efficient Architecture Search for Heterogeneous Graph Neural Networks. - Yang Gao 024; Peng Zhang 001; Chuan Zhou 001; Hong Yang 003; Zhao Li 007; Yue Hu 002; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2023)

Meta Structure Search for Link Weight Prediction in Heterogeneous Graphs. - Xiaoou Zhang; Yang Gao 024; Yang Liu 320; Yujia Zhu; Peng Zhang 001; Chuan Zhou 001; Qingyun Liu 001; Hongyang Chen (ICASSP, 2024)

EASE-DR: Enhanced Sentence Embeddings for Dense Retrieval. - Xixi Zhou; Yang Gao 024; Xin Jie; Xiaoxu Cai; Jiajun Bu; Haishuai Wang (SIGIR, 2024)

Combinatorial Optimization with Automated Graph Neural Networks. - Yang Liu 320; Peng Zhang 001; Yang Gao 024; Chuan Zhou 001; Zhao Li 007; Hongyang Chen (CoRR, 2024)

Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning. - Hui Fang; Yang Gao 024; Peng Zhang 001; Jiangchao Yao; Hongyang Chen; Haishuai Wang (AAAI, 2025)

Node-Centric Meta Structure Search in Heterogeneous Graphs. - Xiaoou Zhang; Yang Gao 024; Yang Liu 320; Yujia Zhu; Chuan Zhou 001; Peng Zhang 001; Yong Ding; Qingyun Liu 001; Hongyang Chen (ICASSP, 2025)

InsGNN: Interpretable spatio-temporal graph neural networks via information bottleneck. - Hui Fang; Haishuai Wang; Yang Gao 024; Yonggang Zhang 003; Jiajun Bu; Bo Han 003; Hui Lin (Inf. Fusion, 2025)

Automated graph anomaly detection with large language models. - Jiaqi Yu; Yang Gao 024; Hong Yang 003; Zhihong Tian; Peng Zhang 001; Xingquan Zhu 001 (Knowl. Based Syst., 2025)

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search. - Yang Gao 024; Hong Yang 003; Yizhi Chen; Junxian Wu; Peng Zhang 001; Haishuai Wang (CoRR, 2025)