| 2022 | AI & Public Data for Humanitarian and Emergency Response. | Alejandro Jaimes |
| 2022 | POLE: Polarized Embedding for Signed Networks. | Zexi Huang, Arlei Silva, Ambuj K. Singh |
| 2022 | It Is Different When Items Are Older: Debiasing Recommendations When Selection Bias and User Preferences Are Dynamic. | Jin Huang, Harrie Oosterhuis, Maarten de Rijke |
| 2022 | GNNs for Node Clustering in Signed and Directed Networks. | Yixuan He |
| 2022 | Keyword Assisted Embedded Topic Model. | Bahareh Harandizadeh, J. Hunter Priniski, Fred Morstatter |
| 2022 | Dy-HIEN: Dynamic Evolution based Deep Hierarchical Intention Network for Membership Prediction. | Zhenyun Hao, Jianing Hao, Zhaohui Peng, Senzhang Wang, Philip S. Yu, Xue Wang, Jian Wang |
| 2022 | Outside In: Market-aware Heterogeneous Graph Neural Network for Employee Turnover Prediction. | Jinquan Hang, Zheng Dong, Hongke Zhao, Xin Song, Peng Wang, Hengshu Zhu |
| 2022 | Studying Long-Term User Behaviour Using Dynamic Time Warping for Customer Retention. | Harsha Gwalani |
| 2022 | Multi-Scale Variational Graph AutoEncoder for Link Prediction. | Zhihao Guo, Feng Wang, Kaixuan Yao, Jiye Liang, Zhiqiang Wang |
| 2022 | Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation. | Jiayan Guo, Yaming Yang, Xiangchen Song, Yuan Zhang, Yujing Wang, Jing Bai, Yan Zhang |
| 2022 | Differentially Private Ensemble Classifiers for Data Streams. | Lovedeep Gondara, Ke Wang, Ricardo Silva Carvalho |
| 2022 | Toward Pareto Efficient Fairness-Utility Trade-off in Recommendation through Reinforcement Learning. | Yingqiang Ge, Xiaoting Zhao, Lucia Yu, Saurabh Paul, Diane Hu, Chu-Cheng Hsieh, Yongfeng Zhang |
| 2022 | HeteroQA: Learning towards Question-and-Answering through Multiple Information Sources via Heterogeneous Graph Modeling. | Shen Gao, Yuchi Zhang, Yongliang Wang, Yang Dong, Xiuying Chen, Dongyan Zhao, Rui Yan |
| 2022 | Graph Neural Networks for Recommender System. | Chen Gao, Xiang Wang, Xiangnan He, Yong Li |
| 2022 | Leveraging Multi-view Inter-passage Interactions for Neural Document Ranking. | Chengzhen Fu, Enrui Hu, Letian Feng, Zhicheng Dou, Yantao Jia, Lei Chen, Fan Yu, Zhao Cao |
| 2022 | Efficient Graph Convolution for Joint Node Representation Learning and Clustering. | Chakib Fettal, Lazhar Labiod, Mohamed Nadif |
| 2022 | Variational User Modeling with Slow and Fast Features. | Ghazal Fazelnia, Eric Simon, Ian Anderson, Benjamin A. Carterette, Mounia Lalmas |
| 2022 | Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search. | Zhifang Fan, Dan Ou, Yulong Gu, Bairan Fu, Xiang Li, Wentian Bao, Xin-Yu Dai, Xiaoyi Zeng, Tao Zhuang, Qingwen Liu |
| 2022 | Building Multi-turn Query Interpreters for E-commercial Chatbots with Sparse-to-dense Attentive Modeling. | Yan Fan, Chengyu Wang, Peng He, Yunhua Hu |
| 2022 | External Evaluation of Ranking Models under Extreme Position-Bias. | Yaron Fairstein, Elad Haramaty, Arnon Lazerson, Liane Lewin-Eytan |
| 2022 | Semi-supervised Stance Detection of Tweets Via Distant Network Supervision. | Subhabrata Dutta, Samiya Caur, Soumen Chakrabarti, Tanmoy Chakraborty |
| 2022 | Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective. | Lun Du, Xu Chen, Fei Gao, Qiang Fu, Kunqing Xie, Shi Han, Dongmei Zhang |
| 2022 | Robust Graph Learning for Misbehavior Detection. | Yingtong Dou |
| 2022 | Combinatorial Bandits under Strategic Manipulations. | Jing Dong, Ke Li, Shuai Li, Baoxiang Wang |
| 2022 | Graph Minimally-supervised Learning. | Kaize Ding, Jundong Li, Nitesh V. Chawla, Huan Liu |