Bibliographic Name Disambiguation with Graph Convolutional Network. - Hao Yan 004; Hao Peng 001; Chen Li 046; Jianxin Li 002; Lihong Wang (WISE, 2019)

Dynamic network embedding via incremental skip-gram with negative sampling. - Hao Peng 001; Jianxin Li 002; Hao Yan 004; Qiran Gong; Senzhang Wang; Lin Liu; Lihong Wang; Xiang Ren 001 (Sci. China Inf. Sci., 2020)

WSiP: Wave Superposition Inspired Pooling for Dynamic Interactions-Aware Trajectory Prediction. - Renzhi Wang; Senzhang Wang; Hao Yan 004; Xiang Wang 015 (AAAI, 2023)

Learning on Large-scale Text-attributed Graphs via Variational Inference. - Jianan Zhao 002; Meng Qu; Chaozhuo Li; Hao Yan 004; Qian Liu; Rui Li 086; Xing Xie 001; Jian Tang 005 (ICLR, 2023)

A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking. - Hao Yan 004; Chaozhuo Li; Ruosong Long; Chao Yan 004; Jianan Zhao 002; Wenwen Zhuang; Jun Yin 005; Peiyan Zhang; Weihao Han; Hao Sun 015; Weiwei Deng; Qi Zhang 066; et al. (NeurIPS, 2023)

Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks. - Jun Yin 005; Chaozhuo Li; Hao Yan 004; Jianxun Lian; Senzhang Wang (NeurIPS, 2023)

Hierarchical Graph Contrastive Learning. - Hao Yan 004; Senzhang Wang; Jun Yin 005; Chaozhuo Li; Junxing Zhu; Jianxin Wang 001 (ECML/PKDD (2), 2023)

Adversarial Hard Negative Generation for Complementary Graph Contrastive Learning. - Senzhang Wang; Hao Yan 004; Jinlong Du; Jun Yin 005; Junxing Zhu; Chaozhuo Li; Jianxin Wang 001 (SDM, 2023)

Unleash LLMs Potential for Recommendation by Coordinating Twin-Tower Dynamic Semantic Token Generator. - Jun Yin 005; Zhengxin Zeng; Mingzheng Li; Hao Yan 004; Chaozhuo Li; Weihao Han; Jianjin Zhang; Ruochen Liu 001; Allen Sun; Denvy Deng; Feng Sun 008; Qi Zhang 066; et al. (CoRR, 2024)

When Graph meets Multimodal: Benchmarking on Multimodal Attributed Graphs Learning. - Hao Yan 004; Chaozhuo Li; Zhigang Yu; Jun Yin 005; Ruochen Liu 001; Peiyan Zhang; Weihao Han; Mingzheng Li; Zhengxin Zeng; Hao Sun 015; Weiwei Deng; Feng Sun 008; et al. (CoRR, 2024)

MoKGNN: Boosting Graph Neural Networks via Mixture of Generic and Task-Specific Language Models. - Hao Yan 004; Chaozhuo Li; Jun Yin 005; Weihao Han; Hao Sun 015; Senzhang Wang; Jian Zhang 048; Jianxin Wang 001 (WSDM, 2025)

Unleash LLMs Potential for Sequential Recommendation by Coordinating Dual Dynamic Index Mechanism. - Jun Yin 005; Zhengxin Zeng; Mingzheng Li; Hao Yan 004; Chaozhuo Li; Weihao Han; Jianjin Zhang; Ruochen Liu 001; Hao Sun 015; Weiwei Deng; Feng Sun 008; Qi Zhang 066; et al. (WWW, 2025)

Have Our Cake and Eat It: Augmentation Diversity and Semantic Consistency Balanced Graph Contrastive Learning. - Hao Yan 004; Senzhang Wang; Chaozhuo Li; Jun Yin 005; Philip S. Yu; Jianxin Wang 001 (ACM Trans. Knowl. Discov. Data, 2025)