- Graph Neural Point Process for Temporal Interaction Prediction, IEEE Transactions on Knowledge and Data Engineering, [Code]
- TRANSFORMER EMBEDDINGS OF IRREGULARLY SPACED EVENTS AND THEIR PARTICIPANTS, ICLR, 2022, [Code]
- NEURAL SPECTRAL MARKED POINT PROCESSES, ICLR, 2022, [Code]
- EXPLAINING POINT PROCESSES BY LEARNING INTERPRETABLE TEMPORAL LOGIC RULES, ICLR, 2022, [Code]
- Variational Neural Temporal Point Process, ArXiv, 2022
- Neural Predicting Higher-order Patterns in Temporal Networks, WWW, 2022, [Code]
- CEP3: Community Event Prediction with Neural Point Process on Graph, ArXiv, 2022, [Code]
- Neural Point Process for Learning Spatiotemporal Event Dynamics, Learning for Dynamics and Control (L4DC), 2022, [Code]
- Learning Mixture of Neural Temporal Point Processes for Multi-dimensional Event Sequence Clustering, IJCAI, 2022
- Exploring Generative Neural Temporal Point Process, TMLR, 2022, [Code]
- HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences, NeurIPS, 2022,[Code]
- TRANSFORMER EMBEDDINGS OF IRREGULARLY SPACED EVENTS AND THEIR PARTICIPANTS, ICLR, 2022, [Code]
- Modeling Inter-Dependence Between Time and Mark in Multivariate Temporal Point Processes, CIKM, 2022, [Code]