Alternatives and similar repositories for LT-OCF

Users that are interested in LT-OCF are comparing it to the libraries listed below

• jeongwhanchoi / GREAD
  GREAD: Graph Neural Reaction-Diffusion Networks, ICML 2023
  ☆58Updated last year
• hwangyong753 / NADE
  ☆13Updated 11 months ago
• seoyoungh / one-shot-optimization
  This is the repository of our accepted CIKM 2022 paper "Prediction-based One-shot Dynamic Parking Pricing".
  ☆17Updated last year
• jeongwhanchoi / BSPM
  Blurring-Sharpening Process Models for Collaborative Filtering, SIGIR'23
  ☆98Updated last year
• sheoyon-jhin / EXIT
  EXIT : Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting
  ☆13Updated last year
• sheoyon-jhin / ACE-NODE
  Attentive Co-Evolving Neural Ordinary Differential Equations
  ☆29Updated last year
• dev-jwel / TiaRa
  Implementation of Time-aware Random Walk Diffusion to Improve Dynamic Graph Learning (AAAI-23)
  ☆16Updated 2 years ago
• geonwooko / MULE
  MuLe: Multi-Grained Graph Learning for Multi-Behavior Recommendation (CIKM 2024)
  ☆13Updated 8 months ago
• qbxlvnf11 / HMLET
  HMLET (Hybrid-Method-of-Linear-and-non-linEar-collaborative-filTering-method)
  ☆20Updated 3 years ago
• jeongwhanchoi / STG-NRDE
  "Graph Neural Rough Differential Equations for Traffic Forecasting", ACM TIST
  ☆14Updated 3 years ago
• geon0325 / LightGCNpp
  Source code for the RecSys 2024 paper "Revisiting LightGCN: Unexpected Inflexibility, Inconsistency, and A Remedy Towards Improved Recomm…
  ☆14Updated 3 months ago
• TaiLvYuanLiang / HGWaveNet
  ☆12Updated last year
• FudanCISL / FreeGEM
  The implementation for the NeurIPS 2022 paper Parameter-free Dynamic Graph Embedding for Link Prediction.
  ☆16Updated 2 years ago
• sheoyon-jhin / ANCDE
  Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting
  ☆43Updated last year
• jeongwhanchoi / PANDA
  🐼PANDA: Expanded Width-Aware Message Passing Beyond Rewiring, ICML 2024
  ☆20Updated 11 months ago
• young917 / MiDaS
  WWW22 - MiDaS: Representative Hypergraph Sampling
  ☆12Updated last year
• wenqifan03 / GTN-SIGIR2022
  Graph Trend Filtering Networks for Recommendations, SIGIR'2022
  ☆26Updated 3 years ago
• Gyu-Seok0 / CCD_KDD24
  The repository for Continual Collaborative Distillation for Recommender Systems, accepted in KDD'24.
  ☆15Updated 7 months ago
• zknus / Graph-Diffusion-CDE
  Graph Neural Convection-Diffusion with Heterophily
  ☆11Updated 2 years ago
• young917 / EdgeDependentNodeLabel
  KDD23 - Classification of Edge-Dependent Labels of Nodes in Hypergraphs
  ☆18Updated last year
• jeongwhanchoi / STG-NCDE
  "Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022
  ☆157Updated 11 months ago
• RManLuo / GSNOP
  Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.
  ☆34Updated 2 years ago
• jindeok / CF-KAN
  KAN (Kolmogorov-Arnold Network)-based Recommendation (CF)
  ☆30Updated 3 months ago
• ShinhwanKang / BeGin
  Easy-to-use framework for graph continual learning with Python
  ☆37Updated 10 months ago
• KanghoonYoon / torch-metacon
  Pytorch Implmentation of Meta Attack via Contrastive Surrogate Objective
  ☆11Updated last year
• jeehyunHwang / Neural-Diffusion-Equation
  NDE: Climate Modeling with Neural Diffusion Equation, ICDM'21
  ☆24Updated 3 years ago
• yixinliu233 / SimpDM
  [CIKM'24] Self-Supervision Improves Diffusion Models for Tabular Data Imputation
  ☆14Updated 11 months ago
• nigelnnk / FairGAD
  Analysing fairness of graph anomaly detection methods
  ☆12Updated 9 months ago
• huangJC0429 / Mid-GCN
  This is the code of paper: Robust Mid-Pass Filtering Graph Convolutional Networks.(paper accepted by WWW2023)
  ☆13Updated 2 years ago
• harryjo97 / EHGNN
  Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)
  ☆53Updated 2 years ago