| 2022 | OpenHGNN: An Open Source Toolkit for Heterogeneous Graph Neural Network. | Hui Han, Tianyu Zhao, Cheng Yang, Hongyi Zhang, Yaoqi Liu, Xiao Wang, Chuan Shi |
| 2022 | MLadder: An Online Training System for Machine Learning and Data Science Education. | Siqi Han, Wanting Li, En Zhang, Jilin Shi, Wei Wang, Xuesong Lu |
| 2022 | Long-tail Mixup for Extreme Multi-label Classification. | Sangwoo Han, Eunseong Choi, Chan Lim, Hyunjung Shim, Jongwuk Lee |
| 2022 | Addressing Cold Start in Product Search via Empirical Bayes. | Cuize Han, Pablo Castells, Parth Gupta, Xu Xu, Vamsi Salaka |
| 2022 | Multi-Aggregator Time-Warping Heterogeneous Graph Neural Network for Personalized Micro-Video Recommendation. | Jinkun Han, Wei Li, Zhipeng Cai, Yingshu Li |
| 2022 | RAGUEL: Recourse-Aware Group Unfairness Elimination. | Aparajita Haldar, Teddy Cunningham, Hakan Ferhatosmanoglu |
| 2022 | SciTweets - A Dataset and Annotation Framework for Detecting Scientific Online Discourse. | Salim Hafid, Sebastian Schellhammer, Sandra Bringay, Konstantin Todorov, Stefan Dietze |
| 2022 | Session-based Recommendation with Dual Graph Networks. | Tajuddeen Rabiu Gwadabe, Mohammed Ali Mohammed Al-Hababi, Ying Liu |
| 2022 | Sentaur: Sensor Observable Data Model for Smart Spaces. | Peeyush Gupta, Sharad Mehrotra, Shantanu Sharma, Roberto Yus, Nalini Venkatasubramanian |
| 2022 | Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation. | Jiayan Guo, Peiyan Zhang, Chaozhuo Li, Xing Xie, Yan Zhang, Sunghun Kim |
| 2022 | Learning Hypersphere for Few-shot Anomaly Detection on Attributed Networks. | Qiuyu Guo, Xiang Zhao, Yang Fang, Shiyu Yang, Xuemin Lin, Dian Ouyang |
| 2022 | Bootstrap-based Causal Structure Learning. | Xianjie Guo, Yujie Wang, Xiaoling Huang, Shuai Yang, Kui Yu |
| 2022 | SpCQL: A Semantic Parsing Dataset for Converting Natural Language into Cypher. | Aibo Guo, Xinyi Li, Guanchen Xiao, Zhen Tan, Xiang Zhao |
| 2022 | Fusing Geometric and Scene Information for Cross-View Geo-Localization. | Siyuan Guo, Tianying Liu, Wengen Li, Jihong Guan, Shuigeng Zhou |
| 2022 | KiCi: A Knowledge Importance Based Class Incremental Learning Method for Wearable Activity Recognition. | Shuai Guo, Yang Gu, Shijie Wen, Yuan Ma, Yiqiang Chen, Jiwei Wang, Chunyu Hu |
| 2022 | UDM: A Unified Deep Matching Framework in Recommender Systems. | Long Guo, Fei Fang, Binqiang Zhao, Bin Cui |
| 2022 | Calibrated Conversion Rate Prediction via Knowledge Distillation under Delayed Feedback in Online Advertising. | Yuyao Guo, Haoming Li, Xiang Ao, Min Lu, Dapeng Liu, Lei Xiao, Jie Jiang, Qing He |
| 2022 | Binary Transformation Method for Multi-Label Stream Classification. | Ege Berkay Gulcan, Isin Su Ecevit, Fazli Can |
| 2022 | Leveraging Scalable Profiling to Learn and Visualize the Latest Trustworthy COVID-19 Medical Research Findings. | Michael N. Gubanov, Sophie Pavia, Anna Pyayt, William Goble |
| 2022 | ITSM-GCN: Informative Training Sample Mining for Graph Convolutional Network-based Collaborative Filtering. | Kaiqi Gong, Xiao Song, Senzhang Wang, Songsong Liu, Yong Li |
| 2022 | Gromov-Wasserstein Multi-modal Alignment and Clustering. | Fengjiao Gong, Yuzhou Nie, Hongteng Xu |
| 2022 | Real-time Short Video Recommendation on Mobile Devices. | Xudong Gong, Qinlin Feng, Yuan Zhang, Jiangling Qin, Weijie Ding, Biao Li, Peng Jiang, Kun Gai |
| 2022 | Will This Online Shopping Session Succeed? Predicting Customer's Purchase Intention Using Embeddings. | Miguel Alves Gomes, Richard Meyes, Philipp Meisen, Tobias Meisen |
| 2022 | Spatio-temporal Trajectory Learning using Simulation Systems. | Daniel Glake, Fabian Panse, Ulfia Lenfers, Thomas Clemen, Norbert Ritter |
| 2022 | Triplet losses-based matrix factorization for robust recommendations. | Flavio Giobergia |