| 2024 | The 4th KDD Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems (DeepSpatial'24). | Zhe Jiang, Liang Zhao, Xun Zhou, Junbo Zhang, Shashi Shekhar, Jieping Ye |
| 2024 | Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods. | Da Yan, Lyuheng Yuan, Akhlaque Ahmad, Chenguang Zheng, Hongzhi Chen, James Cheng |
| 2024 | ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs. | Yuhan Li, Peisong Wang, Zhixun Li, Jeffrey Xu Yu, Jia Li |
| 2024 | Hypformer: Exploring Efficient Transformer Fully in Hyperbolic Space. | Menglin Yang, Harshit Verma, Delvin Ce Zhang, Jiahong Liu, Irwin King, Rex Ying |
| 2024 | Model-Agnostic Random Weighting for Out-of-Distribution Generalization. | Yue He, Pengfei Tian, Renzhe Xu, Xinwei Shen, Xingxuan Zhang, Peng Cui |
| 2024 | Shopping Trajectory Representation Learning with Pre-training for E-commerce Customer Understanding and Recommendation. | Yankai Chen, Quoc-Tuan Truong, Xin Shen, Jin Li, Irwin King |
| 2024 | AutoXPCR: Automated Multi-Objective Model Selection for Time Series Forecasting. | Raphael Fischer, Amal Saadallah |
| 2024 | AIM: Attributing, Interpreting, Mitigating Data Unfairness. | Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Yada Zhu, Hendrik F. Hamann, Hanghang Tong |
| 2024 | The Fourth International Workshop on Smart Data for Blockchain and Distributed Ledger (SDBD'24). | Feida Zhu, Jian Pei, Michael Zeller, Bingxue Zhang |
| 2024 | 23 | Da Yan, Ahmed Abdeen Hamed, Jake Y. Chen, Mohammed J. Zaki |
| 2024 | A Tutorial on Multi-Armed Bandit Applications for Large Language Models. | Djallel Bouneffouf, Raphal Fraud |
| 2024 | Generative AI Day. | Jie Tang, Yuxiao Dong, Michalis Vazirgiannis |
| 2024 | Revisiting Local PageRank Estimation on Undirected Graphs: Simple and Optimal. | Hanzhi Wang |
| 2024 | Towards Adaptive Neighborhood for Advancing Temporal Interaction Graph Modeling. | Siwei Zhang, Xi Chen, Yun Xiong, Xixi Wu, Yao Zhang, Yongrui Fu, Yinglong Zhao, Jiawei Zhang |
| 2024 | GraphWiz: An Instruction-Following Language Model for Graph Computational Problems. | Nuo Chen, Yuhan Li, Jianheng Tang, Jia Li |
| 2024 | ReCTSi: Resource-efficient Correlated Time Series Imputation via Decoupled Pattern Learning and Completeness-aware Attentions. | Zhichen Lai, Dalin Zhang, Huan Li, Dongxiang Zhang, Hua Lu, Christian S. Jensen |
| 2024 | Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach. | Yicong Li, Yu Yang, Jiannong Cao, Shuaiqi Liu, Haoran Tang, Guandong Xu |
| 2023 | Dual-view Molecular Pre-training. | Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Wengang Zhou, Tao Qin, Houqiang Li, Tie-Yan Liu |
| 2023 | The 4th International Workshop on Talent and Management Computing (TMC'2023). | Hengshu Zhu, Hui Xiong, Yong Ge, Ee-Peng Lim |
| 2023 | On Structural Expressive Power of Graph Transformers. | Wenhao Zhu, Tianyu Wen, Guojie Song, Liang Wang, Bo Zheng |
| 2023 | Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction. | Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang |
| 2023 | Path-Specific Counterfactual Fairness for Recommender Systems. | Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li |
| 2023 | A Feature-Based Coalition Game Framework with Privileged Knowledge Transfer for User-tag Profile Modeling. | Xianghui Zhu, Peng Du, Shuo Shao, Chenxu Zhu, Weinan Zhang, Yang Wang, Yang Cao |
| 2023 | WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation Window. | Yifan Zhu, Fangpeng Cong, Dan Zhang, Wenwen Gong, Qika Lin, Wenzheng Feng, Yuxiao Dong, Jie Tang |
| 2023 | C-AOI: Contour-based Instance Segmentation for High-Quality Areas-of-Interest in Online Food Delivery Platform. | Yida Zhu, Liying Chen, Daping Xiong, Shuiping Chen, Fangxiao Du, Jinghua Hao, Renqing He, Zhizhao Sun |