| 2024 | Offline Imitation Learning with Model-based Reverse Augmentation. | Jie-Jing Shao, Hao-Sen Shi, Lan-Zhe Guo, Yu-Feng Li |
| 2024 | STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning. | Wei Shao, Yufan Kang, Ziyan Peng, Xiao Xiao, Lei Wang, Yuhui Yang, Flora D. Salim |
| 2024 | NeuroCut: A Neural Approach for Robust Graph Partitioning. | Rishi Shah, Krishnanshu Jain, Sahil Manchanda, Sourav Medya, Sayan Ranu |
| 2024 | Hierarchical Knowledge Guided Fault Intensity Diagnosis of Complex Industrial Systems. | Yu Sha, Shuiping Gou, Bo Liu, Johannes Faber, Ningtao Liu, Stefan Schramm, Horst Stoecker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou |
| 2024 | Self-Explainable Temporal Graph Networks based on Graph Information Bottleneck. | Sangwoo Seo, Sungwon Kim, Jihyeong Jung, Yoonho Lee, Chanyoung Park |
| 2024 | Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask. | Zineb Senane, Lele Cao, Valentin Leonhard Buchner, Yusuke Tashiro, Lei You, Pawel Andrzej Herman, Mats Nordahl, Ruibo Tu, Vilhelm von Ehrenheim |
| 2024 | DPHGNN: A Dual Perspective Hypergraph Neural Networks. | Siddhant Saxena, Shounak Ghatak, Raghu Kolla, Debashis Mukherjee, Tanmoy Chakraborty |
| 2024 | Scalable Temporal Motif Densest Subnetwork Discovery. | Ilie Sarpe, Fabio Vandin, Aristides Gionis |
| 2024 | LARP: Language Audio Relational Pre-training for Cold-Start Playlist Continuation. | Rebecca Salganik, Xiaohao Liu, Yunshan Ma, Jian Kang, Tat-Seng Chua |
| 2024 | A Novel Feature Space Augmentation Method to Improve Classification Performance and Evaluation Reliability. | Sakhawat Hossain Saimon, Tanzira Najnin, Jianhua Ruan |
| 2024 | CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal Control. | Jingqing Ruan, Ziyue Li, Hua Wei, Haoyuan Jiang, Jiaming Lu, Xuantang Xiong, Hangyu Mao, Rui Zhao |
| 2024 | Tackling Concept Shift in Text Classification using Entailment-style Modeling. | Sumegh Roychowdhury, Karan Gupta, Siva Rajesh Kasa, Prasanna Srinivasa Murthy |
| 2024 | RHiOTS: A Framework for Evaluating Hierarchical Time Series Forecasting Algorithms. | Luis Roque, Carlos Soares, Lus Torgo |
| 2024 | epiDAMIK 2024: The 7th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. | Alexander Rodrguez, Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Marie-Laure Charpignon, Kai Wang, Serina Chang, Anil Vullikanti, B. Aditya Prakash |
| 2024 | Leveraging Exposure Networks for Detecting Fake News Sources. | Maor Reuben, Lisa Friedland, Rami Puzis, Nir Grinberg |
| 2024 | Non-autoregressive Generative Models for Reranking Recommendation. | Yuxin Ren, Qiya Yang, Yichun Wu, Wei Xu, Yalong Wang, Zhiqiang Zhang |
| 2024 | A Survey of Large Language Models for Graphs. | Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla, Chao Huang |
| 2024 | A Fast Exact Algorithm to Enumerate Maximal Pseudo-cliques in Large Sparse Graphs. | Ahsanur Rahman, Kalyan Roy, Ramiza Maliha, Townim Faisal Chowdhury |
| 2024 | Scalable Graph Learning for your Enterprise. | Hema Raghavan |
| 2024 | Spatio-Temporal Consistency Enhanced Differential Network for Interpretable Indoor Temperature Prediction. | Dekang Qi, Xiuwen Yi, Chengjie Guo, Yanyong Huang, Junbo Zhang, Tianrui Li, Yu Zheng |
| 2024 | Pre-train and Refine: Towards Higher Efficiency in K-Agnostic Community Detection without Quality Degradation. | Meng Qin, Chaorui Zhang, Yu Gao, Weixi Zhang, Dit-Yan Yeung |
| 2024 | QSketch: An Efficient Sketch for Weighted Cardinality Estimation in Streams. | Yiyan Qi, Rundong Li, Pinghui Wang, Yufang Sun, Rui Xing |
| 2024 | Class-incremental Learning for Time Series: Benchmark and Evaluation. | Zhongzheng Qiao, Quang Pham, Zhen Cao, Hoang H. Le, Ponnuthurai N. Suganthan, Xudong Jiang, Savitha Ramasamy |
| 2024 | Reimagining Graph Classification from a Prototype View with Optimal Transport: Algorithm and Theorem. | Chen Qian, Huayi Tang, Hong Liang, Yong Liu |
| 2024 | ORCDF: An Oversmoothing-Resistant Cognitive Diagnosis Framework for Student Learning in Online Education Systems. | Hong Qian, Shuo Liu, Mingjia Li, Bingdong Li, Zhi Liu, Aimin Zhou |