| 2022 | DAGAD: Data Augmentation for Graph Anomaly Detection. | Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal |
| 2022 | Improving net ecosystem CO2 flux prediction using memory-based interpretable machine learning. | Siyan Liu, Dan Lu, Daniel M. Ricciuto, Anthony P. Walker |
| 2022 | Robustness May be at Odds with Stability in Adversarial Training based Feature Selection? | Yue Liu, Yun Li |
| 2022 | A Cognitive Solver with Autonomously Knowledge Learning for Reasoning Mathematical Answers. | Jiayu Liu, Zhenya Huang, Xin Lin, Qi Liu, Jianhui Ma, Enhong Chen |
| 2022 | One Person, One Model - Learning Compound Router for Sequential Recommendation. | Zhiding Liu, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen |
| 2022 | Kernel-based Hybrid Interpretable Transformer for High-frequency Stock Movement Prediction. | Fan Lin, Pengfei Li, Yuanguo Lin, Zhennan Chen, Huanyu You, Shibo Feng |
| 2022 | DeepGAR: Deep Graph Learning for Analogical Reasoning. | Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, Liang Zhao |
| 2022 | FLAG: Stock Movement Prediction via Fusing Logic and Semantic Graphs of Financial News. | Angela Li, Jiduan Liu, Yuyong Li, Fan Meng |
| 2022 | CC-GNN: A Community and Contraction-based Graph Neural Network. | Zhiyuan Li, Xun Jian, Yue Wang, Lei Chen |
| 2022 | The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection. | Zhixun Li, Dingshuo Chen, Qiang Liu, Shu Wu |
| 2022 | Contrastive Individual Treatment Effects Estimation. | Xinshu Li, Lina Yao |
| 2022 | Active Keyword Selection to Track Evolving Topics on Twitter. | Sacha Lvy, Farimah Poursafaei, Kellin Pelrine, Reihaneh Rabbany |
| 2022 | Set2Box: Similarity Preserving Representation Learning for Sets. | Geon Lee, Chanyoung Park, Kijung Shin |
| 2022 | DREAM: Domain Invariant and Contrastive Representation for Sleep Dynamics. | Seungyeon Lee, Thai-Hoang Pham, Ping Zhang |
| 2022 | THOR: Self-Supervised Temporal Knowledge Graph Embedding via Three-Tower Graph Convolutional Networks. | Yeon-Chang Lee, Jaehyun Lee, Dongwon Lee, Sang-Wook Kim |
| 2022 | Hybrid Oversampling Technique Based on Star Topology and Rejection Methodology for Classifying Imbalanced Data. | Chaekyu Lee, Jaekwang Kim |
| 2022 | Cascaded Multi-Class Network Intrusion Detection With Decision Tree and Self-attentive Model. | Yuchen Lan, Tram Truong Huu, Jiyan Wu, Sin G. Teo |
| 2022 | Understanding Concept Identification as Consistent Data Clustering Across Multiple Feature Spaces. | Felix Lanfermann, Sebastian Schmitt, Patricia Wollstadt |
| 2022 | Self-Organizing Map-Based Graph Clustering and Visualization on Streaming Graphs. | Prabin B. Lamichhane, William Eberle |
| 2022 | On Finding and Analyzing the Backbone of the k-Core Structure of a Graph. | Ricky Laishram, Sucheta Soundarajan |
| 2022 | Incremental constrained clustering with application to remote sensing images time series. | Baptiste Lafabregue, Pierre Ganarski, Jonathan Weber, Germain Forestier |
| 2022 | DeepDive: Deep Latent Factor Model for Enhancing Diversity in Recommender Systems. | Kriti Kumar, Angshul Majumdar, M. Girish Chandra |
| 2022 | HeteroGuard: Defending Heterogeneous Graph Neural Networks against Adversarial Attacks. | Udesh Kumarasinghe, Mohamed Nabeel, Kasun De Zoysa, Kasun Gunawardana, Charitha Elvitigala |
| 2022 | LSP: Acceleration of Graph Neural Networks via Locality Sensitive Pruning of Graphs. | Eitan Kosman, Joel Oren, Dotan Di Castro |
| 2022 | Compression Methods for Transformers in Multidomain Sentiment Analysis. | Wojciech Korczynski, Jan Kocon |