Alternatives and similar repositories for GREAD

Users that are interested in GREAD are comparing it to the libraries listed below

• 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 / LT-OCF
  LT-OCF: Learnable-Time ODE-based Collaborative Filtering, CIKM'21
  ☆35Updated last year
• TaiLvYuanLiang / HGWaveNet
  ☆12Updated last year
• sheoyon-jhin / ACE-NODE
  Attentive Co-Evolving Neural Ordinary Differential Equations
  ☆29Updated last year
• 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
• young917 / EdgeDependentNodeLabel
  KDD23 - Classification of Edge-Dependent Labels of Nodes in Hypergraphs
  ☆18Updated last year
• Graph-COM / Neighborhood-Aware-Temporal-Network
  Yuhong Luo and Pan Li. Neighborhood-aware scalable temporal network representation learning. In Learning on Graphs, 2022.
  ☆27Updated 2 years ago
• DeepGraphLearning / ContinuousGNN
  ☆47Updated 3 years ago
• ShinhwanKang / BeGin
  Easy-to-use framework for graph continual learning with Python
  ☆37Updated 10 months ago
• jeongwhanchoi / STG-NCDE
  "Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022
  ☆157Updated 11 months ago
• jeongwhanchoi / STG-NRDE
  "Graph Neural Rough Differential Equations for Traffic Forecasting", ACM TIST
  ☆14Updated 3 years ago
• dev-jwel / TiaRa
  Implementation of Time-aware Random Walk Diffusion to Improve Dynamic Graph Learning (AAAI-23)
  ☆16Updated 2 years ago
• wooner49 / TriCL
  I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs (AAAI'23)
  ☆38Updated last year
• 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
• CongWeilin / GraphMixer
  ☆100Updated last year
• harryjo97 / EHGNN
  Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)
  ☆53Updated 2 years ago
• hwangyong753 / NADE
  ☆13Updated 11 months ago
• ZijieH / CG-ODE
  ☆36Updated 3 years ago
• SukwonYun / LTE4G
  [CIKM 2023] Code for the paper "LTE4G: Long-Tail Experts for Graph Neural Networks"
  ☆40Updated 2 years ago
• abcbdf / ADC
  ☆25Updated last year
• zknus / Graph-Diffusion-CDE
  Graph Neural Convection-Diffusion with Heterophily
  ☆11Updated 2 years ago
• young917 / MiDaS
  WWW22 - MiDaS: Representative Hypergraph Sampling
  ☆12Updated last year
• hezgit / TDM
  Code for Transformed Distribution Matching (TDM) for Missing Value Imputation, ICML 2023
  ☆14Updated 2 years ago
• Graph-COM / ED-HNN
  [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
  ☆47Updated last year
• JoonHyung-Park / GraphENS
  GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification (ICLR'22)
  ☆82Updated last year
• Junshan-Wang / ContinualGNN
  Streaming Graph Neural Networks via Continual Learning (CIKM 2020)
  ☆43Updated 4 years ago
• YuGuangWang / UFG
  ☆36Updated 3 years ago
• SeongJinAhn / VGNAE
  (CIKM'21) Variational Graph Normalized Auto-Encoders
  ☆36Updated 3 years ago
• FudanCISL / FreeGEM
  The implementation for the NeurIPS 2022 paper Parameter-free Dynamic Graph Embedding for Link Prediction.
  ☆16Updated 2 years ago
• Chen-Cai-OSU / GNN-Over-Smoothing
  A Note On Over-Smoothing for Graph Neural Network
  ☆20Updated 5 years ago