Alternatives and similar repositories for torch-neuralpointprocess

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

• calvin-zcx / ndcn
  Neural Dynamics on Complex Networks
  ☆53Updated 4 years ago
• StatsDLMathsRecomSys / Self-attention-with-Functional-Time-Representation-Learning
  ☆50Updated 2 years ago
• EDAPINENUT / GNTPP
  This is the official codebase of `Exploring Generative Neural Temporal Point Process' (Accepted by TMLR).
  ☆19Updated last year
• 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
• 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
• TaiLvYuanLiang / HGWaveNet
  ☆12Updated last year
• shchur / triangular-tpp
  Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)
  ☆23Updated last year
• jeongwhanchoi / GREAD
  GREAD: Graph Neural Reaction-Diffusion Networks, ICML 2023
  ☆58Updated last year
• yangalan123 / anhp-andtt
  Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)
  ☆58Updated 4 months ago
• Junseok0207 / GraFN
  The official source code for "GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignm…
  ☆25Updated 2 years ago
• Graph-COM / Neural_Higher-order_Pattern_Prediction
  ☆14Updated 3 years ago
• Hongrui24 / NeuralHawkesPytorch
  ☆22Updated 4 years ago
• Namkyeong / BGRL_Pytorch
  Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"
  ☆80Updated 3 years ago
• wondergo2017 / DIDA
  Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"
  ☆20Updated 2 years ago
• FFTYYY / TWIRLS
  The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".
  ☆43Updated 3 years ago
• CongWeilin / GraphMixer
  ☆99Updated last year
• QiangAIResearcher / sahp_repo
  ☆59Updated 4 years ago
• KanghoonYoon / torch-metacon
  Pytorch Implmentation of Meta Attack via Contrastive Surrogate Objective
  ☆11Updated 11 months ago
• BUPT-GAMMA / CaGCN
  This repo is for source code of NeurIPS 2021 paper "Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration".
  ☆22Updated 3 years ago
• ZijieH / CG-ODE
  ☆36Updated 3 years ago
• sheoyon-jhin / ACE-NODE
  Attentive Co-Evolving Neural Ordinary Differential Equations
  ☆29Updated last year
• RingBDStack / VIB-GSL
  Code for "Graph Structure Learning with Variational Information Bottleneck" published in AAAI 2022
  ☆35Updated 3 years ago
• shchur / ifl-tpp
  Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)
  ☆84Updated 4 years ago
• yongduosui / CAL
  [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…
  ☆90Updated last year
• Junseok0207 / M3S_Pytorch
  Pytorch implementation of "Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes"
  ☆18Updated 2 years ago
• ZijieH / LG-ODE
  ☆33Updated 2 years ago
• panzheyi / AutoSTG
  ☆25Updated 4 years ago
• fishmoon1234 / DAG-NoCurl
  ☆25Updated 3 years ago
• yeonjun-in / torch-SG-GSR
  The official source code for Self-Guided Robust Graph Structure Refinement (SG-GSR) at WWW 2024 Research Track.
  ☆17Updated last year
• PurdueMINDS / size-invariant-GNNs
  Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)
  ☆23Updated 2 years ago