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stat.ML2023
Deep graph kernel point processes over networks
Zheng Dong, Matthew Repasky, Xiuyuan Cheng +1
Point process models are widely used for continuous-time discrete-event data, where each data point includes time and additional information called "marks," such as locations, node…
stat.ML2023★ 1 cited
Conditional Generative Modeling for High-dimensional Marked Temporal Point Processes
Zheng Dong, Zekai Fan, Shixiang Zhu
Point processes offer a versatile framework for sequential event modeling. However, the computational challenges and constrained representational power of the existing point proces…