| 2025 | Bypassing Skip-Gram Negative Sampling: Dimension Regularization as a More Efficient Alternative for Graph Embeddings. | David Liu, Arjun Seshadri, Tina Eliassi-Rad, Johan Ugander |
| 2025 | FULTR: A Large-Scale Fusion Learning to Rank Dataset and Its Application for Satisfaction-Oriented Ranking. | Yuchen Li, Hao Zhang, Haojie Zhang, Hengyi Cai, Xinyu Ma, Shuaiqiang Wang, Haoyi Xiong, Zhaochun Ren, Maarten de Rijke, Dawei Yin |
| 2025 | RankExpert: A Mixture of Textual-and-Behavioral Experts for Multi-Objective Learning-to-Rank in Web Search. | Yuchen Li, Hao Zhang, Yongqi Zhang, Hengyi Cai, Mingxin Cai, Shuaiqiang Wang, Haoyi Xiong, Linghe Kong, Dawei Yin, Lei Chen |
| 2025 | A Two-Stage Data Selection Framework for Data-Efficient Model Training on Edge Devices. | Chen Gong, Rui Xing, Zhenzhe Zheng, Fan Wu |
| 2025 | Identifying Knowledge Editing Types in Large Language Models. | Xiaopeng Li, Shasha Li, Shangwen Wang, Shezheng Song, Bin Ji, Huijun Liu, Jun Ma, Jie Yu |
| 2025 | Advancing Tool-Augmented Large Language Models via Meta-Verification and Reflection Learning. | Zhiyuan Ma, Jiayu Liu, Xianzhen Luo, Zhenya Huang, Qingfu Zhu, Wanxiang Che |
| 2025 | SAGE: Scale-Aware Gradual Evolution for Continual Knowledge Graph Embedding. | Yifei Li, Lingling Zhang, Hang Yan, Tianzhe Zhao, Zihan Ma, Muye Huang, Jun Liu |
| 2025 | Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks. | Zewen Liu, Xiaoda Wang, Bohan Wang, Zijie Huang, Carl Yang, Wei Jin |
| 2025 | TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer. | Jie Peng, Zhewei Wei, Yuhang Ye |
| 2025 | A Diffusion-Based Method for Learning the Multi-Outcome Distribution of Medical Treatments. | Yuchen Ma, Jonas Schweisthal, Hengrui Zhang, Stefan Feuerriegel |
| 2025 | Self-Supervised Continual Graph Learning via Adaptive Spaced Replay on Node Proxies. | Zhen Peng, Xu Hua, Jingchen Hao, Qika Lin, Bo Dong, Chao Shen |
| 2025 | Conditional Generative Modeling for High-dimensional Marked Temporal Point Processes. | Zheng Dong, Zekai Fan, Shixiang Zhu |
| 2025 | Bridging Textual-Collaborative Gap through Semantic Codes for Sequential Recommendation. | Enze Liu, Bowen Zheng, Wayne Xin Zhao, Ji-Rong Wen |
| 2025 | Multi-Grained Preference Enhanced Transformer for Multi-Behavior Sequential Recommendation. | Chuan He, Yongchao Liu, Qiang Li, Weiqiang Wang, Xing Fu, Xinyi Fu, Chuntao Hong, Xinwei Yao |
| 2025 | Unlocking the Power of Diffusion Models in Sequential Recommendation: A Simple and Effective Approach. | Jialei Chen, Yuanbo Xu, Yiheng Jiang |
| 2025 | Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries. | Zhihao Li, Haoze Song, Di Xiao, Zhilu Lai, Wei Wang |
| 2025 | When Graph Meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graph Learning. | Hao Yan, Chaozhuo Li, Jun Yin, Zhigang Yu, Weihao Han, Mingzheng Li, Zhengxin Zeng, Hao Sun, Senzhang Wang |
| 2025 | Swarm Intelligence in Geo-Localization: A Multi-Agent Large Vision-Language Model Collaborative Framework. | Xiao Han, Chen Zhu, Hengshu Zhu, Xiangyu Zhao |
| 2025 | Efficient Heuristics Generation for Solving Combinatorial Optimization Problems Using Large Language Models. | Xuan Wu, Di Wang, Chunguo Wu, Lijie Wen, Chunyan Miao, Yubin Xiao, You Zhou |
| 2025 | UrbanMind: Urban Dynamics Prediction with Multifaceted Spatial-Temporal Large Language Models. | Yuhang Liu, Yingxue Zhang, Xin Zhang, Ling Tian, Yanhua Li, Jun Luo |
| 2025 | Global Interpretable Graph-level Anomaly Detection via Prototype. | Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Hao Peng, Quan Z. Sheng |
| 2025 | Reinvent the Operation not the Architecture: Quantum-inspired High-order Product for Compatible and Improved LLMs Training. | Hao Xiong, Yebin Yang, Huaijin Wu, Xiaoqiu Zhong, Yehui Tang, Zhuo Xia, Xiaoxing Wang, Junchi Yan |
| 2025 | Unleashing The Power of Pre-Trained Language Models for Irregularly Sampled Time Series. | Weijia Zhang, Chenlong Yin, Hao Liu, Hui Xiong |
| 2025 | An Efficient White-box LLM Watermarking for IP Protection on Online Market Platforms. | Shuguang Yuan, Xingyu Su, Peizhuo Lv, Weiji Xue, Jing Yu, Xiaojie Zhu, Chi Chen |
| 2025 | Probabilistic Hypergraph Recurrent Neural Networks for Time-series Forecasting. | Hongjie Chen, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Hoda Eldardiry |