Temporal-Point-Process-TPP-

This repository contains recent background materials, current works, and codes for researching in TPP.

Courses

• http://courses.mpi-sws.org/hcml-ws18/schedule.html

Reading Materials

• Lecture Notes:Temporal Point Processes and the Conditional Intensity Function
• Thinning Algorithms for Simulating Point Processes
• Hawkes Processes
• A Nonparametric EM algorithm for Multiscale Hawkes Processes, 2011

Benchmarking Toolkit

• EasyTPP: Towards Open Benchmarking the Temporal Point Processes. [Code]

Conference Workshops

• http://learning.mpi-sws.org/tpp-icml18/

• http://thinklab.sjtu.edu.cn/TPP_Tutor_KDD19.html

• http://thinklab.sjtu.edu.cn/TPP_Tutor_KDD19.html

Recent Papers: Statistical Models

• 2022| 2021 | 2020 |2019>

Recent Papers: Deep Learning Models

• 2023 | 2022 | 2021 | 2020 | 2019>

Recent Papers: Reinforcement Learning

• 2023 | 2019

Recent Papers: Finance

• 2022>

Recent Papers: Causal Inference

• 2022

Recent Papers: Differential Privacy

• 2022

Survey Papers

• Neural Temporal Point Processes: A Review, 2021
• Recent Advance in Temporal Point Process: from Machine Learning Perspective, 2019

Packages

• PoPPy | Tick | pyhawkes | hawkes

Datasets for TPP on Graphs

• Higgs Twitter Dataset | Memetracker | Github Events | Social Evolution

Datasets for Spatio-Temporal Process

• Bike-Share Usage in London and Taipei Network | Citi-Bike | Captial-Bikeshare | TFL | Emergency - 911 Calls