EDAPINENUT / EDTPP

Related projects ⓘ

Alternatives and complementary repositories for EDTPP

• yangalan123 / TemporalPointProcessPapers
  Paper lists for Temporal Point Process
  ☆102Updated last month
• shchur / ifl-tpp
  Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)
  ☆81Updated 3 years ago
• QiangAIResearcher / sahp_repo
  ☆57Updated 4 years ago
• woshiyyya / ERPP-RMTPP
  A pytorch implementation of ERPP and RMTPP on ATM maintenance dataset.
  ☆55Updated 5 years ago
• shchur / triangular-tpp
  Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)
  ☆23Updated 11 months ago
• yangalan123 / anhp-andtt
  Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)
  ☆55Updated last month
• DeepGraphLearning / ContinuousGNN
  ☆44Updated 3 years ago
• rguo12 / network-deconfounder-wsdm20
  Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
  ☆74Updated 3 years ago
• ZijieH / LG-ODE
  ☆34Updated 2 years ago
• jma712 / HyperSCI
  ☆42Updated 9 months ago
• wanyu-lin / ICML2021-Gem
  Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."
  ☆65Updated 2 years ago
• Hongrui24 / NeuralHawkesPytorch
  ☆19Updated 4 years ago
• musically-ut / tf_rmtpp
  Recurrent Marked Temporal Point Processes
  ☆56Updated 3 years ago
• wokas36 / GraphSNN
  Graph Structured Neural Network
  ☆38Updated 2 years ago
• seedatnabeel / TE-CDE
  Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)
  ☆25Updated 2 years ago
• EDAPINENUT / GNTPP
  This is the official codebase of `Exploring Generative Neural Temporal Point Process' (Accepted by TMLR).
  ☆18Updated last year
• ZijieH / CG-ODE
  ☆33Updated 3 years ago
• YesLab-Code / HTGNN
  ☆47Updated 3 years ago
• chr26195 / Caseq
  The official implementation for "Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment" which is accepted to NeurIP…
  ☆22Updated 6 months ago
• SimiaoZuo / Transformer-Hawkes-Process
  Code for Transformer Hawkes Process, ICML 2020.
  ☆177Updated 7 months ago
• CongWeilin / GraphMixer
  ☆98Updated last year
• DM2-ND / CFLP
  Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction
  ☆65Updated 2 years ago
• ajboyd2 / vae_mpp
  Variational Autoencoders for Marked Point Processes
  ☆14Updated 4 years ago
• fpour / DGB
  Dynamic Graph Benchmark
  ☆68Updated last year
• xiao03 / nh
  A PyTorch Implementation of Neural Hawkes Process. Redefined.
  ☆32Updated 4 years ago
• Hongrui24 / RMTPP-pytorch
  ☆15Updated 4 years ago
• wondergo2017 / DIDA
  Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"
  ☆17Updated last year
• balcilar / gnn-spectral-expressive-power
  Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021
  ☆45Updated 3 years ago
• omitakahiro / NeuralNetworkPointProcess
  code for "Fully Neural Network based Model for General Temporal Point Processes"
  ☆60Updated 3 years ago
• calvin-zcx / ndcn
  Neural Dynamics on Complex Networks
  ☆51Updated 4 years ago