Alternatives and similar repositories for torch-neuralpointprocess

Users that are interested in torch-neuralpointprocess are comparing it to the libraries listed below

• EDAPINENUT / GNTPP
  This is the official codebase of `Exploring Generative Neural Temporal Point Process' (Accepted by TMLR).
  ☆19Updated 2 years ago
• yangalan123 / anhp-andtt
  Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)
  ☆58Updated 5 months ago
• zhangzx-sjtu / LANTERN-NeurIPS-2019
  Source code for NeurIPS 2019 paper "Learning Latent Processes from High-Dimensional Event Sequences via Efficient Sampling""
  ☆10Updated 4 years ago
• shchur / ifl-tpp
  Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)
  ☆85Updated 4 years ago
• Emiyalzn / GraphDE
  Official implementation for GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs (NeurIPS 20…
  ☆20Updated 2 years ago
• shchur / triangular-tpp
  Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)
  ☆23Updated last year
• clear-nus / NCDSSM
  PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…
  ☆25Updated last year
• yangalan123 / TemporalPointProcessPapers
  Paper lists for Temporal Point Process
  ☆110Updated 7 months ago
• fishmoon1234 / DAG-NoCurl
  ☆25Updated 3 years ago
• QiangAIResearcher / sahp_repo
  ☆60Updated 4 years ago
• EDAPINENUT / EDTPP
  ☆16Updated 2 years ago
• 000Justin000 / torchdiffeq
  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
  ☆59Updated 4 years ago
• tonygracious / Temporal-Point-Process-TPP-
  This repository contains recent background materials, current works, and codes for researching in TPP.
  ☆16Updated last year
• calvin-zcx / ndcn
  Neural Dynamics on Complex Networks
  ☆53Updated 4 years ago
• jeongwhanchoi / GREAD
  GREAD: Graph Neural Reaction-Diffusion Networks, ICML 2023
  ☆58Updated last year
• StatsDLMathsRecomSys / Self-attention-with-Functional-Time-Representation-Learning
  ☆50Updated 2 years ago
• Kaixiong-Zhou / EGNN
  Energetic GraphNeural Networks (EGNN) implementation based on Dirichlet Energy Constrained Learning.
  ☆26Updated 3 years ago
• ChandlerBang / GTrans
  [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"
  ☆58Updated last year
• Graph-COM / Neural_Higher-order_Pattern_Prediction
  ☆14Updated 3 years ago
• hans66hsu / GATS
  Source code of "What Makes Graph Neural Networks Miscalibrated?" (NeurIPS 2022)
  ☆23Updated last year
• xiao03 / nh
  A PyTorch Implementation of Neural Hawkes Process. Redefined.
  ☆33Updated 4 years ago
• weirayao / leap
  LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.
  ☆35Updated 2 years ago
• zichuan-liu / TimeXplusplus
  [ICML'24] Official PyTorch Implementation of TimeX++
  ☆26Updated 6 months ago
• panzheyi / AutoSTG
  ☆25Updated 4 years ago
• Hongrui24 / NeuralHawkesPytorch
  ☆22Updated 4 years ago
• CongWeilin / GraphMixer
  ☆100Updated last year
• seedatnabeel / TE-CDE
  Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)
  ☆27Updated 2 years ago
• HongtengXu / Reading-List
  A list of papers for group meeting
  ☆16Updated 2 weeks ago
• xiangwang1223 / reinforced_causal_explainer
  Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022
  ☆36Updated 2 years ago
• ZijieH / CG-ODE
  ☆36Updated 3 years ago