Hongrui24 / NeuralHawkesPytorch
☆19Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for NeuralHawkesPytorch
- A PyTorch Implementation of Neural Hawkes Process. Redefined.☆32Updated 4 years ago
- ☆57Updated 4 years ago
- Attentive Neural Point Processes for Event Forecasting, AAAI 2021☆16Updated 3 years ago
- Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)☆55Updated 3 weeks ago
- Paper lists for Temporal Point Process☆100Updated 3 weeks ago
- Variational Autoencoders for Marked Point Processes☆13Updated 4 years ago
- A pytorch implementation of ERPP and RMTPP on ATM maintenance dataset.☆55Updated 5 years ago
- This is the official codebase of `Exploring Generative Neural Temporal Point Process' (Accepted by TMLR).☆18Updated last year
- Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)☆80Updated 3 years ago
- This repository contains recent background materials, current works, and codes for researching in TPP.☆17Updated last year
- ☆12Updated 8 months ago
- Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"☆37Updated 2 years ago
- Recurrent Marked Temporal Point Processes☆56Updated 3 years ago
- ☆42Updated 8 months ago
- A PyTorch exercise in implementing a continuous time LSTM to simulate Neural Hawkes Process based on the paper by Hongyuan Mei and Jason …☆9Updated last year
- codes of DNNTSP model for Temporal Sets Prediction☆32Updated 4 years ago
- Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)☆23Updated 11 months ago
- ☆15Updated 4 years ago
- ☆18Updated 3 years ago
- [NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dyna…☆52Updated last year
- Code for Transformer Hawkes Process, ICML 2020.☆176Updated 7 months ago
- PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"☆44Updated last year
- The official implementation for "Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment" which is accepted to NeurIP…☆22Updated 6 months ago
- ☆48Updated last year
- Reproducing the results of the paper Continuous-time Dynamic Network Embeddings☆30Updated 5 years ago
- TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.☆32Updated 6 months ago
- ☆22Updated last year
- Graph Trend Filtering Networks for Recommendations, SIGIR'2022☆26Updated 2 years ago
- The implementation for the NeurIPS 2022 paper Parameter-free Dynamic Graph Embedding for Link Prediction.☆16Updated last year