| 2023 | Efficient Distributed Approximate k-Nearest Neighbor Graph Construction by Multiway Random Division Forest. | Sang-Hong Kim, Ha-Myung Park |
| 2023 | Task Relation-aware Continual User Representation Learning. | Sein Kim, Namkyeong Lee, Donghyun Kim, Min-Chul Yang, Chanyoung Park |
| 2023 | Exploiting Relation-aware Attribute Representation Learning in Knowledge Graph Embedding for Numerical Reasoning. | Gayeong Kim, Sookyung Kim, Ko Keun Kim, Suchan Park, Heesoo Jung, Hogun Park |
| 2023 | How Transitive Are Real-World Group Interactions? - Measurement and Reproduction. | Sunwoo Kim, Fanchen Bu, Minyoung Choe, Jaemin Yoo, Kijung Shin |
| 2023 | Task-Equivariant Graph Few-shot Learning. | Sungwon Kim, Junseok Lee, Namkyeong Lee, Wonjoong Kim, Seungyoon Choi, Chanyoung Park |
| 2023 | IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research. | Arpandeep Khatua, Vikram Sharma Mailthody, Bhagyashree Taleka, Tengfei Ma, Xiang Song, Wen-Mei Hwu |
| 2023 | Getting an h-Index of 100 in 20 Years or Less! | Eamonn J. Keogh |
| 2023 | Generative AI meets Responsible AI: Practical Challenges and Opportunities. | Krishnaram Kenthapadi, Himabindu Lakkaraju, Nazneen Rajani |
| 2023 | Bridging Offline-Online Evaluation with a Time-dependent and Popularity Bias-free Offline Metric for Recommenders. | Petr Kasalick, Rodrigo Alves, Pavel Kordk |
| 2023 | R-Mixup: Riemannian Mixup for Biological Networks. | Xuan Kan, Zimu Li, Hejie Cui, Yue Yu, Ran Xu, Shaojun Yu, Zilong Zhang, Ying Guo, Carl Yang |
| 2023 | Real Time Index and Search Across Large Quantities of GNN Experts for Low Latency Online Learning. | Johan Kok Zhi Kang, Sien Yi Tan, Bingsheng He, Zhen Zhang |
| 2023 | When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting. | Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodrguez, Chao Zhang, B. Aditya Prakash |
| 2023 | Multimodal Indoor Localisation in Parkinson's Disease for Detecting Medication Use: Observational Pilot Study in a Free-Living Setting. | Ferdian Jovan, Catherine Morgan, Ryan McConville, Emma L. Tonkin, Ian Craddock, Alan L. Whone |
| 2023 | Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks. | Bowen Jin, Yu Zhang, Qi Zhu, Jiawei Han |
| 2023 | Predicting Information Pathways Across Online Communities. | Yiqiao Jin, Yeon-Chang Lee, Kartik Sharma, Meng Ye, Karan Sikka, Ajay Divakaran, Srijan Kumar |
| 2023 | Transferable Graph Structure Learning for Graph-based Traffic Forecasting Across Cities. | Yilun Jin, Kai Chen, Qiang Yang |
| 2023 | Community-based Dynamic Graph Learning for Popularity Prediction. | Shuo Ji, Xiaodong Lu, Mingzhe Liu, Leilei Sun, Chuanren Liu, Bowen Du, Hui Xiong |
| 2023 | Enhancing Node-Level Adversarial Defenses by Lipschitz Regularization of Graph Neural Networks. | Yaning Jia, Dongmian Zou, Hongfei Wang, Hai Jin |
| 2023 | Complementary Classifier Induced Partial Label Learning. | Yuheng Jia, Chongjie Si, Min-Ling Zhang |
| 2023 | PGLBox: Multi-GPU Graph Learning Framework for Web-Scale Recommendation. | Xuewu Jiao, Weibin Li, Xinxuan Wu, Wei Hu, Miao Li, Jiang Bian, Siming Dai, Xinsheng Luo, Mingqing Hu, Zhengjie Huang, Danlei Feng, Junchao Yang, Shikun Feng, Haoyi Xiong, Dianhai Yu, Shuanglong Li, Jingzhou He, Yanjun Ma, Lin Liu |
| 2023 | FedSkill: Privacy Preserved Interpretable Skill Learning via Imitation. | Yushan Jiang, Wenchao Yu, Dongjin Song, Lu Wang, Wei Cheng, Haifeng Chen |
| 2023 | FairCod: A Fairness-aware Concurrent Dispatch System for Large-scale Instant Delivery Services. | Lin Jiang, Shuai Wang, Baoshen Guo, Hai Wang, Desheng Zhang, Guang Wang |
| 2023 | AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness. | Liyao Jiang, Chenglin Li, Haolan Chen, Xiaodong Gao, Xinwang Zhong, Yang Qiu, Shani Ye, Di Niu |
| 2023 | Anomaly Detection with Score Distribution Discrimination. | Minqi Jiang, Songqiao Han, Hailiang Huang |
| 2023 | Adaptive Graph Contrastive Learning for Recommendation. | Yangqin Jiang, Chao Huang, Lianghao Huang |