KanghoonYoon / torch-neuralpointprocessLinks
(Pytorch ver) Code for "Fully Neural Network based Model for General Temporal Point Process"
☆21Updated 5 years ago
Alternatives and similar repositories for torch-neuralpointprocess
Users that are interested in torch-neuralpointprocess are comparing it to the libraries listed below
Sorting:
- Neural Dynamics on Complex Networks☆54Updated 5 years ago
- GREAD: Graph Neural Reaction-Diffusion Networks, ICML 2023☆61Updated last year
- This is the official codebase of `Exploring Generative Neural Temporal Point Process' (Accepted by TMLR).☆21Updated 2 years ago
- ☆104Updated 2 years ago
- Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)☆62Updated 10 months ago
- Attentive Co-Evolving Neural Ordinary Differential Equations☆30Updated 2 years ago
- ☆50Updated 2 years ago
- ☆12Updated last year
- Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022☆39Updated 3 years ago
- ☆46Updated 4 years ago
- Paper lists for Temporal Point Process☆119Updated 4 months ago
- Official Repository of "Graph Mixture Density Networks" (ICML 2021)☆27Updated 3 years ago
- ☆33Updated 3 years ago
- ☆62Updated 5 years ago
- Yuhong Luo and Pan Li. Neighborhood-aware scalable temporal network representation learning. In Learning on Graphs, 2022.☆27Updated 2 years ago
- Energetic GraphNeural Networks (EGNN) implementation based on Dirichlet Energy Constrained Learning.☆27Updated 4 years ago
- [ICML'24] Official PyTorch Implementation of TimeX++☆28Updated last year
- Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)☆89Updated 4 years ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆89Updated 4 years ago
- [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…☆97Updated 2 years ago
- PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…☆25Updated 2 years ago
- ☆25Updated 3 years ago
- ☆49Updated last year
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Updated 4 years ago
- Graph Structured Neural Network☆40Updated 3 years ago
- ☆11Updated 2 years ago
- PyTorch code for "Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions"☆101Updated 4 years ago
- Source code for NeurIPS 2019 paper "Learning Latent Processes from High-Dimensional Event Sequences via Efficient Sampling""