Advances in Human Event Modeling: From Graph Neural Networks to Language Models.
Songgaojun Deng, Maarten de Rijke, Yue Ning
To appear In Proceedings of the 30th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)
Barcelona, Spain. August 25-29, 2024
[ Tutorial ]

Causality Enhanced Societal Event Forecasting With Heterogeneous Graph Learning.
Songgaojun Deng, Huzefa Rangwala, Yue Ning
In Proceedings of the 22nd IEEE International Conference on Data Mining (ICDM). Regular Paper. (Acceptance Rate: 9.77%)
Orlando, FL, USA. Nov. 28-Dec. 1, 2022.
[ code ]

Robust Event Forecasting with Spatiotemporal Confounder Learning.
Songgaojun Deng, Huzefa Rangwala, Yue Ning
In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). Full Paper.
Washington DC. August 14-18, 2022. (Acceptance Rate: 14.99%)
[ code ]

Understanding Event Predictions via Contextualized Multilevel Feature Learning.
Songgaojun Deng, Huzefa Rangwala, Yue Ning
In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM). Research Track.
Online. November 1-5, 2021.
[ code ]

Cola-GNN: Cross-location Attention based Graph Neural Networks for Long-term ILI Prediction.
Songgaojun Deng, Shusen Wang, Huzefa Rangwala, Lijing Wang, Yue Ning.
In Proceedings of the 20th ACM International Conference on Information and Knowledge Management (CIKM). Research Track.
Online. October 19-23, 2020. (Acceptance Rate: 21%)
[ code ]

Dynamic Knowledge Graph based Multi-Event Forecasting.
Songgaojun Deng, Huzefa Rangwala, Yue Ning
In Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). Research Track.
Online (San Diego, CA, USA). August 23-27, 2020. (Acceptance Rate: 16.9%)
[ code ]

Learning Dynamic Context Graphs for Predicting Social Events.
Songgaojun Deng, Huzefa Rangwala, Yue Ning
In Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). Research Track - Oral.
Anchorage, Alaska USA. August 4-8, 2019. (Acceptance Rate: 9%)
[ code ]

Domain Generalization in Time Series Forecasting.
Songgaojun Deng, Olivier Sprangers, Ming Li, Sebastian Schelter, Maarten de Rijke
ACM Transactions on Knowledge Discovery from Data, January 2024 (IF: 4.4)

SimGCL: Graph Contrastive Learning by Finding Homophily in Heterophily.
Cheng Liu, Chenhuan Yu, Ning Gui, Zhiwu Yu, Songgaojun Deng
Knowledge and Information Systems, 25 November 2023 (IF: 2.7)

Exploration of a mechanism to form bionic, self-growing and self-organizing neural network.
Xu Yang, Guo Liu, Songgaojun Deng, Zichao Wei, Hu He, Yingjie Shang, Ning Deng.
Artificial Intelligence Review 52 (2019): 585-605. (IF: 12.0)

Neural network evolving algorithm based on the triplet codon encoding method.
Xu Yang, Songgaojun Deng, Mengyao Ji, Jinfeng Zhao, Wenhao Zheng.
Genes 9, no. 12 (2018): 626. (IF: 3.5)