Modeling Event Propagation via Graph Biased Temporal Point Process

5 August 2019

Papers citing "Modeling Event Propagation via Graph Biased Temporal Point Process"

10 / 10 papers shown

Title
Node Embedding over Temporal Graphs Uriel Singer Ido Guy Kira Radinsky 45 152 0 21 Mar 2019
Decoupled Learning for Factorial Marked Temporal Point Processes Weichang Wu Junchi Yan Xiaokang Yang H. Zha 35 20 0 21 Jan 2018
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications Hongyun Cai V. Zheng Kevin Chen-Chuan Chang AI4TS 95 1,794 0 22 Sep 2017
Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks Shuai Xiao Junchi Yan Stephen M. Chu Xiaokang Yang H. Zha AI4TS 48 266 0 24 May 2017
Wasserstein Learning of Deep Generative Point Process Models Shuai Xiao Mehrdad Farajtabar X. Ye Junchi Yan Le Song H. Zha DiffM 51 170 0 23 May 2017
The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process Hongyuan Mei Jason Eisner BDL AI4TS 54 75 0 29 Dec 2016
Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes Hongteng Xu Weichang Wu S. Nemati H. Zha AI4TS OOD 32 46 0 14 Feb 2016
LINE: Large-scale Information Network Embedding Jian Tang Meng Qu Mingzhe Wang Ming Zhang Jun Yan Qiaozhu Mei GNN 138 5,334 0 12 Mar 2015
Question Answering with Subgraph Embeddings Antoine Bordes S. Chopra Jason Weston RALM BDL GNN 80 713 0 14 Jun 2014
On Prediction Using Variable Order Markov Models Ron Begleiter Ran El-Yaniv G. Yona 90 444 0 30 Jun 2011