| 2023 | Alleviating Structural Distribution Shift in Graph Anomaly Detection. | Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang |
| 2023 | Natural and Artificial Dynamics in GNNs: A Tutorial. | Dongqi Fu, Zhe Xu, Hanghang Tong, Jingrui He |
| 2023 | An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages. | Lingyue Fu, Jianghao Lin, Weiwen Liu, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu |
| 2023 | Simultaneous Linear Multi-view Attributed Graph Representation Learning and Clustering. | Chakib Fettal, Lazhar Labiod, Mohamed Nadif |
| 2023 | Efficient Graph Learning for Anomaly Detection Systems. | Falih Gozi Febrinanto |
| 2023 | Under the Hood of Social Media Advertising: How Do We use AI Responsibly for Advertising Targeting and Creative Evaluation. | Aleksandr Farseev |
| 2023 | Metropolitan-scale Mobility Digital Twin. | Zipei Fan, Renhe Jiang, Ryosuke Shibasaki |
| 2023 | Cooperative Explanations of Graph Neural Networks. | Junfeng Fang, Xiang Wang, An Zhang, Zemin Liu, Xiangnan He, Tat-Seng Chua |
| 2023 | Pairwise Fairness in Ranking as a Dissatisfaction Measure. | Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto, Asia J. Biega |
| 2023 | IDNP: Interest Dynamics Modeling Using Generative Neural Processes for Sequential Recommendation. | Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao |
| 2023 | Multi-queue Momentum Contrast for Microvideo-Product Retrieval. | Yali Du, Yinwei Wei, Wei Ji, Fan Liu, Xin Luo, Liqiang Nie |
| 2023 | Active Ensemble Learning for Knowledge Graph Error Detection. | Junnan Dong, Qinggang Zhang, Xiao Huang, Qiaoyu Tan, Daochen Zha, Zihao Zhao |
| 2023 | DistriBayes: A Distributed Platform for Learning, Inference and Attribution on Large Scale Bayesian Network. | Yi Ding, Jun Zhou, Qing Cui, Lin Wang, Mengqi Zhang, Yang Dong |
| 2023 | The 3rd International Workshop on Machine Learning on Graphs (MLoG). | Tyler Derr, Yao Ma, Benedek Rozemberczki, Neil Shah, Shirui Pan |
| 2023 | Zero to Hero: Exploiting Null Effects to Achieve Variance Reduction in Experiments with One-sided Triggering. | Alex Deng, Lo-Hua Yuan, Naoya Kanai, Alexandre Salama-Manteau |
| 2023 | S2TUL: A Semi-Supervised Framework for Trajectory-User Linking. | Liwei Deng, Hao Sun, Yan Zhao, Shuncheng Liu, Kai Zheng |
| 2023 | Generative Slate Recommendation with Reinforcement Learning. | Romain Deffayet, Thibaut Thonet, Jean-Michel Renders, Maarten de Rijke |
| 2023 | Classification of Different Participating Entities in the Rise of Hateful Content in Social Media. | Mithun Das |
| 2023 | NGAME: Negative Mining-aware Mini-batching for Extreme Classification. | Kunal Dahiya, Nilesh Gupta, Deepak Saini, Akshay Soni, Yajun Wang, Kushal Dave, Jian Jiao, Gururaj K, Prasenjit Dey, Amit Singh, Deepesh Hada, Vidit Jain, Bhawna Paliwal, Anshul Mittal, Sonu Mehta, Ramachandran Ramjee, Sumeet Agarwal, Purushottam Kar, Manik Varma |
| 2023 | Preference-Based Offline Evaluation. | Charles L. A. Clarke, Fernando Diaz, Negar Arabzadeh |
| 2023 | Meta Policy Learning for Cold-Start Conversational Recommendation. | Zhendong Chu, Hongning Wang, Yun Xiao, Bo Long, Lingfei Wu |
| 2023 | Unsupervised Question Duplicate and Related Questions Detection in e-learning platforms. | Maksimjeet Chowdhary, Sanyam Goyal, Venktesh V, Mukesh K. Mohania, Vikram Goyal |
| 2023 | Can Pre-trained Language Models Understand Chinese Humor? | Yuyan Chen, Zhixu Li, Jiaqing Liang, Yanghua Xiao, Bang Liu, Yunwen Chen |
| 2023 | Heterogeneous Graph Contrastive Learning for Recommendation. | Mengru Chen, Chao Huang, Lianghao Xia, Wei Wei, Yong Xu, Ronghua Luo |
| 2023 | Relation Preference Oriented High-order Sampling for Recommendation. | Mukun Chen, Xiuwen Gong, YH Jin, Wenbin Hu |