| 2023 | ClinicalRisk: A New Therapy-related Clinical Trial Dataset for Predicting Trial Status and Failure Reasons. | Junyu Luo, Zhi Qiao, Lucas Glass, Cao Xiao, Fenglong Ma |
| 2023 | Can Embeddings Analysis Explain Large Language Model Ranking? | Claudio Lucchese, Giorgia Minello, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri |
| 2023 | Selecting Walk Schemes for Database Embedding. | Yuval Lev Lubarsky, Jan Tnshoff, Martin Grohe, Benny Kimelfeld |
| 2023 | BRep-BERT: Pre-training Boundary Representation BERT with Sub-graph Node Contrastive Learning. | Yunzhong Lou, Xueyang Li, Haotian Chen, Xiangdong Zhou |
| 2023 | Personalized Interest Sustainability Modeling for Sequential POI Recommendation. | Zewen Long, Liang Wang, Qiang Liu, Shu Wu |
| 2023 | THGNN: An Embedding-based Model for Anomaly Detection in Dynamic Heterogeneous Social Networks. | Yilin Li, Jiaqi Zhu, Congcong Zhang, Yi Yang, Jiawen Zhang, Ying Qiao, Hongan Wang |
| 2023 | Towards Automatic ICD Coding via Knowledge Enhanced Multi-Task Learning. | Xinhang Li, Xiangyu Zhao, Yong Zhang, Chunxiao Xing |
| 2023 | Heterogeneous Temporal Graph Neural Network Explainer. | Jiazheng Li, Chunhui Zhang, Chuxu Zhang |
| 2023 | ACGAN-GNNExplainer: Auxiliary Conditional Generative Explainer for Graph Neural Networks. | Yiqiao Li, Jianlong Zhou, Yifei Dong, Niusha Shafiabady, Fang Chen |
| 2023 | Prompt Distillation for Efficient LLM-based Recommendation. | Lei Li, Yongfeng Zhang, Li Chen |
| 2023 | Fragment and Integrate Network (FIN): A Novel Spatial-Temporal Modeling Based on Long Sequential Behavior for Online Food Ordering Click-Through Rate Prediction. | Jun Li, Ge Zhang |
| 2023 | HAMUR: Hyper Adapter for Multi-Domain Recommendation. | Xiaopeng Li, Fan Yan, Xiangyu Zhao, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang |
| 2023 | Class-Specific Word Sense Aware Topic Modeling via Soft Orthogonalized Topics. | Wenbo Li, Yao Yang, Einoshin Suzuki |
| 2023 | Graph Enhanced Hierarchical Reinforcement Learning for Goal-oriented Learning Path Recommendation. | Qingyao Li, Wei Xia, Li'ang Yin, Jian Shen, Renting Rui, Weinan Zhang, Xianyu Chen, Ruiming Tang, Yong Yu |
| 2023 | Contrastive Representation Learning Based on Multiple Node-centered Subgraphs. | Dong Li, Wenjun Wang, Minglai Shao, Chen Zhao |
| 2023 | Counterfactual Adversarial Learning for Recommendation. | Jialin Liu, Zijian Zhang, Xiangyu Zhao, Jun Li |
| 2023 | Datasets and Interfaces for Benchmarking Heterogeneous Graph Neural Networks. | Yijian Liu, Hongyi Zhang, Cheng Yang, Ao Li, Yugang Ji, Luhao Zhang, Tao Li, Jinyu Yang, Tianyu Zhao, Juan Yang, Hai Huang, Chuan Shi |
| 2023 | Cross-city Few-Shot Traffic Forecasting via Traffic Pattern Bank. | Zhanyu Liu, Guanjie Zheng, Yanwei Yu |
| 2023 | Deep Task-specific Bottom Representation Network for Multi-Task Recommendation. | Qi Liu, Zhilong Zhou, Gangwei Jiang, Tiezheng Ge, Defu Lian |
| 2023 | Diffusion Augmentation for Sequential Recommendation. | Qidong Liu, Fan Yan, Xiangyu Zhao, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Feng Tian |
| 2023 | Retrieval-Based Unsupervised Noisy Label Detection on Text Data. | Peiyang Liu, Jinyu Yang, Lin Wang, Sen Wang, Yunlai Hao, Huihui Bai |
| 2023 | Homogeneous Cohort-Aware Group Cognitive Diagnosis: A Multi-grained Modeling Perspective. | Shuhuan Liu, Xiaoshan Yu, Haiping Ma, Ziwen Wang, Chuan Qin, Xingyi Zhang |
| 2023 | Quantifying the Effectiveness of Advertising: A Bootstrap Proportion Test for Brand Lift Testing. | Wanjun Liu, Xiufan Yu, Jialiang Mao, Xiaoxu Wu, Justin Dyer |
| 2023 | ContributionSum: Generating Disentangled Contributions for Scientific Papers. | Meng-Huan Liu, An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen |
| 2023 | Self-Supervised Dynamic Hypergraph Recommendation based on Hyper-Relational Knowledge Graph. | Yi Liu, Hongrui Xuan, Bohan Li, Meng Wang, Tong Chen, Hongzhi Yin |