KanghoonYoon / torch-neuralpointprocessLinks
(Pytorch ver) Code for "Fully Neural Network based Model for General Temporal Point Process"
☆20Updated 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☆59Updated last year
- ☆49Updated 2 years ago
- Paper lists for Temporal Point Process☆113Updated 3 months ago
- This is the official codebase of `Exploring Generative Neural Temporal Point Process' (Accepted by TMLR).☆20Updated 2 years ago
- ☆102Updated last year
- ☆47Updated 3 years ago
- Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)☆86Updated 4 years ago
- This repository contains recent background materials, current works, and codes for researching in TPP.☆17Updated 2 years ago
- Official Repository of "Graph Mixture Density Networks" (ICML 2021)☆27Updated 3 years ago
- Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)☆61Updated 9 months ago
- ☆14Updated 3 years ago
- Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)☆23Updated last year
- ☆61Updated 5 years ago
- Energetic GraphNeural Networks (EGNN) implementation based on Dirichlet Energy Constrained Learning.☆27Updated 3 years ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆90Updated last year
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆89Updated 3 years ago
- Graph Structured Neural Network☆40Updated 3 years ago
- ☆23Updated 5 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Updated 4 years ago
- Official implementation for GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs (NeurIPS 20…☆20Updated 2 years ago
- This repo is for source code of NeurIPS 2021 paper "Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration".☆22Updated 3 years ago
- Dynamic Graph Benchmark☆82Updated 2 years ago
- PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))☆17Updated last year
- PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…☆25Updated 2 years ago
- [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…☆94Updated last year
- ☆12Updated last year
- LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.☆37Updated 3 years ago
- ☆10Updated last year
- ☆27Updated 5 months ago