Hao Yan

19 papers A* 5A 3B 1Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
PS
CoRR
Ruochen Liu, Zhiyuan Wen, Hao Yan, Jun Yin, Senzhang Wang, Jiannong Cao
2026 J jnl
Rel-MOSS: Towards Imbalanced Relational Deep Learning on Relational Databases.
CoRR
Jun Yin, Peng Huo, Bangguo Zhu, Hao Yan, Senzhang Wang, Shirui Pan, Chengqi Zhang
2025 J jnl
Have Our Cake and Eat It: Augmentation Diversity and Semantic Consistency Balanced Graph Contrastive Learning.
ACM Trans. Knowl. Discov. Data
Hao Yan, Senzhang Wang, Chaozhuo Li, Jun Yin, Philip S. Yu, Jianxin Wang
2025 A conf
MoKGNN: Boosting Graph Neural Networks via Mixture of Generic and Task-Specific Language Models.
WSDM
Hao Yan, Chaozhuo Li, Jun Yin, Weihao Han, Hao Sun, Senzhang Wang, Jian Zhang, Jianxin Wang
2025 A conf
Temporal Blocks with Memory Replay for Dynamic Graph Representation Learning.
CIKM
Zhigang Yu, Hao Yan, Ruochen Liu, Xianghan Wang, Haijun Zhang, Senzhang Wang
2025 A* conf
Unleash LLMs Potential for Sequential Recommendation by Coordinating Dual Dynamic Index Mechanism.
WWW
Jun Yin, Zhengxin Zeng, Mingzheng Li, Hao Yan, Chaozhuo Li, Weihao Han, Jianjin Zhang, Ruochen Liu, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Shirui Pan, Senzhang Wang
2025 — conf
When Graph Meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graph Learning.
KDD (2)
Hao Yan, Chaozhuo Li, Jun Yin, Zhigang Yu, Weihao Han, Mingzheng Li, Zhengxin Zeng, Hao Sun, Senzhang Wang
2024 J jnl
Unleash LLMs Potential for Recommendation by Coordinating Twin-Tower Dynamic Semantic Token Generator.
CoRR
Jun Yin, Zhengxin Zeng, Mingzheng Li, Hao Yan, Chaozhuo Li, Weihao Han, Jianjin Zhang, Ruochen Liu, Allen Sun, Denvy Deng, Feng Sun, Qi Zhang, Shirui Pan, Senzhang Wang
2024 J jnl
When Graph meets Multimodal: Benchmarking on Multimodal Attributed Graphs Learning.
CoRR
Hao Yan, Chaozhuo Li, Zhigang Yu, Jun Yin, Ruochen Liu, Peiyan Zhang, Weihao Han, Mingzheng Li, Zhengxin Zeng, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Senzhang Wang
2023 A* conf
A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking.
NeurIPS
Hao Yan, Chaozhuo Li, Ruosong Long, Chao Yan, Jianan Zhao, Wenwen Zhuang, Jun Yin, Peiyan Zhang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Lichao Sun, Xing Xie, Senzhang Wang
2023 A conf
Adversarial Hard Negative Generation for Complementary Graph Contrastive Learning.
SDM
Senzhang Wang, Hao Yan, Jinlong Du, Jun Yin, Junxing Zhu, Chaozhuo Li, Jianxin Wang
2023 — conf
Hierarchical Graph Contrastive Learning.
ECML/PKDD (2)
Hao Yan, Senzhang Wang, Jun Yin, Chaozhuo Li, Junxing Zhu, Jianxin Wang
2023 A* conf
Learning on Large-scale Text-attributed Graphs via Variational Inference.
ICLR
Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang
2023 A* conf
Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks.
NeurIPS
Jun Yin, Chaozhuo Li, Hao Yan, Jianxun Lian, Senzhang Wang
2023 A* conf
WSiP: Wave Superposition Inspired Pooling for Dynamic Interactions-Aware Trajectory Prediction.
AAAI
Renzhi Wang, Senzhang Wang, Hao Yan, Xiang Wang
2022 J jnl
Learning on Large-scale Text-attributed Graphs via Variational Inference.
CoRR
Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang
2020 J jnl
Dynamic network embedding via incremental skip-gram with negative sampling.
Sci. China Inf. Sci.
Hao Peng, Jianxin Li, Hao Yan, Qiran Gong, Senzhang Wang, Lin Liu, Lihong Wang, Xiang Ren
2019 B conf
Bibliographic Name Disambiguation with Graph Convolutional Network.
WISE
Hao Yan, Hao Peng, Chen Li, Jianxin Li, Lihong Wang
2019 J jnl
Dynamic Network Embedding via Incremental Skip-gram with Negative Sampling.
CoRR
Hao Peng, Jianxin Li, Hao Yan, Qiran Gong, Senzhang Wang, Lin Liu, Lihong Wang, Xiang Ren