Alternatives and similar repositories for RMTPP-pytorch

Users that are interested in RMTPP-pytorch are comparing it to the libraries listed below

• woshiyyya / ERPP-RMTPP
  A pytorch implementation of ERPP and RMTPP on ATM maintenance dataset.
  ☆55Updated 6 years ago
• QiangAIResearcher / sahp_repo
  ☆60Updated 4 years ago
• uoguelph-mlrg / LDG
  PyTorch code for "Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions"
  ☆103Updated 4 years ago
• musically-ut / tf_rmtpp
  Recurrent Marked Temporal Point Processes
  ☆56Updated 3 years ago
• xiao03 / nh
  A PyTorch Implementation of Neural Hawkes Process. Redefined.
  ☆33Updated 5 years ago
• shchur / ifl-tpp
  Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)
  ☆85Updated 4 years ago
• ajboyd2 / vae_mpp
  Variational Autoencoders for Marked Point Processes
  ☆15Updated 5 years ago
• huaxiuyao / MetaST
  MetaST for WWW 2019
  ☆52Updated 4 years ago
• SimiaoZuo / Transformer-Hawkes-Process
  Code for Transformer Hawkes Process, ICML 2020.
  ☆195Updated last year
• hongyuanmei / neurawkes
  Source code of The Neural Hawkes Process (NIPS 2017)
  ☆224Updated 3 years ago
• rguo12 / network-deconfounder-wsdm20
  Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
  ☆75Updated 4 years ago
• panzheyi / ST-MetaNet
  The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"
  ☆207Updated 2 years ago
• chaoshangcs / GTS
  Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.
  ☆174Updated 3 years ago
• yangalan123 / TemporalPointProcessPapers
  Paper lists for Temporal Point Process
  ☆113Updated last week
• guyulongcs / AAAI2021_ANPP
  Attentive Neural Point Processes for Event Forecasting, AAAI 2021
  ☆17Updated 4 years ago
• dongkuanx27 / STAR
  Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs (IJCAI'19)
  ☆20Updated 3 years ago
• StatsDLMathsRecomSys / Inductive-representation-learning-on-temporal-graphs
  ☆327Updated 11 months ago
• willzhang3 / SHARE-parking_availability_prediction-Pytorch
  Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction
  ☆42Updated 2 years ago
• chocolates / Predicting-Path-Failure-In-Time-Evolving-Graphs
  The source code of kdd2019 project
  ☆25Updated 4 years ago
• xlwang233 / pytorch-DCRNN
  PyTorch implementation of Diffusion Convolutional Recurrent Neural Network
  ☆50Updated 5 years ago
• yule-BUAA / DNNTSP
  codes of DNNTSP model for Temporal Sets Prediction
  ☆31Updated 4 years ago
• chengli-um / DeepCas
  ☆47Updated 5 years ago
• deezer / gravity_graph_autoencoders
  Source code from the CIKM 2019 article "Gravity-Inspired Graph Autoencoders for Directed Link Prediction" by G. Salha, S. Limnios, R. Hen…
  ☆46Updated last year
• geopanag / pandemic_tgnn
  ☆47Updated 8 months ago
• tanwimallick / TL-DCRNN
  ☆42Updated 3 years ago
• Z-GCNETs / Z-GCNETs
  ☆39Updated 3 years ago
• omitakahiro / NeuralNetworkPointProcess
  code for "Fully Neural Network based Model for General Temporal Point Processes"
  ☆61Updated 4 years ago
• vonfeng / DeepMove
  [WWW 2018] DeepMove: Predicting Human Mobility with Attentional Recurrent Network
  ☆152Updated 5 months ago
• StatsDLMathsRecomSys / Self-attention-with-Functional-Time-Representation-Learning
  ☆50Updated 2 years ago
• gcooq / DeepTrip
  source code for DeepTrip
  ☆15Updated 5 years ago