| 2022 | Hypergraph Contrastive Learning for Electronic Health Records. | Derun Cai, Chenxi Sun, Moxian Song, Baofeng Zhang, Shenda Hong, Hongyan Li |
| 2022 | Collaborative Attention Mechanism for Multi-Modal Time Series Classification. | Yue Bai, Zhiqiang Tao, Lichen Wang, Sheng Li, Yu Yin, Yun Fu |
| 2022 | HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data. | Bang An, Amin Vahedian, Xun Zhou, W. Nick Street, Yanhua Li |
| 2022 | Diverse and Experienced Group Discovery via Hypergraph Clustering. | Ilya Amburg, Nate Veldt, Austin R. Benson |
| 2022 | Joint Time Series Chain: Detecting Unusual Evolving Trend across Time Series. | Li Zhang, Nital Patel, Xiuqi Li, Jessica Lin |
| 2022 | Meta Adversarial Weight for Unsupervised Domain Adaptation. | Chang Liu, Lichen Wang, Yun Fu |
| 2022 | Unseen Anomaly Detection on Networks via Multi-Hypersphere Learning. | Shuang Zhou, Xiao Huang, Ninghao Liu, Qiaoyu Tan, Fu-Lai Chung |
| 2022 | Unifying Human Mobility Forecasting and Trajectory Semantics Augmentation via Hawkes Process Based LSTM. | Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu |
| 2022 | YACC: A Framework Generalizing TurnShadow for Counting Large Cliques. | Shweta Jain, Hanghang Tong |
| 2022 | Learning from Imbalanced Crowdsourced Labeled Data. | Wentao Wang, Joseph Thekinen, Xiaorui Liu, Zitao Liu, Jiliang Tang |
| 2022 | Adapting Distilled Knowledge for Few-shot Relation Reasoning over Knowledge Graphs. | Yiming Zhang, Yiyue Qian, Yanfang Ye, Chuxu Zhang |
| 2022 | Structure-Enhanced Heterogeneous Graph Contrastive Learning. | Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu |
| 2022 | Fine-grained Attributed Graph Clustering. | Zhao Kang, Zhanyu Liu, Shirui Pan, Ling Tian |
| 2022 | Localized Graph Collaborative Filtering. | Yiqi Wang, Chaozhuo Li, Mingzheng Li, Wei Jin, Yuming Liu, Hao Sun, Xing Xie, Jiliang Tang |
| 2022 | Improved Knowledge Distillation via Full Kernel Matrix Transfer. | Qi Qian, Hao Li, Juhua Hu |
| 2021 | Node Proximity Is All You Need: Unified Structural and Positional Node and Graph Embedding. | Jing Zhu, Xingyu Lu, Mark Heimann, Danai Koutra |
| 2021 | DPGS: Degree-Preserving Graph Summarization. | Houquan Zhou, Shenghua Liu, Kyuhan Lee, Kijung Shin, Huawei Shen, Xueqi Cheng |
| 2021 | Maximizing Approximately | Leqian Zheng, Hau Chan, Grigorios Loukides, Minming Li |
| 2021 | Learning Robust Patient Representations from Multi-modal Electronic Health Records: A Supervised Deep Learning Approach. | Xianli Zhang, Buyue Qian, Yang Li, Yang Liu, Xi Chen, Chong Guan, Chen Li |
| 2021 | POTION : Optimizing Graph Structure for Targeted Diffusion. | Sixie Yu, Leo Torres, Scott Alfeld, Tina Eliassi-Rad, Yevgeniy Vorobeychik |
| 2021 | Attention-Based Autoregression for Accurate and Efficient Multivariate Time Series Forecasting. | Jaemin Yoo, U Kang |
| 2021 | TedPar: Temporally Dependent PARAFAC2 Factorization for Phenotype-based Disease Progression Modeling. | Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon |
| 2021 | A Fine-grained Graph-based Spatiotemporal Network for Bike Flow Prediction in Bike-sharing Systems. | Peiyu Yi, Feihu Huang, Jian Peng |
| 2021 | Deep Multi-type Objects Muli-view Multi-instance Multi-label Learning. | Yuanlin Yang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang |
| 2021 | Learning Time-series Shapelets via Supervised Feature Selection. | Akihiro Yamaguchi, Ken Ueno |