Alternatives and similar repositories for LHGNN

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

• ntkien1904 / DegFairGNN
  On Generalized Degree Fairness in Graph Neural Networks
  ☆9Updated 2 years ago
• Ffffffffire / HINormer
  ☆33Updated 2 years ago
• BUPT-GAMMA / GCIL
  Code for AAAI-2024 paper: Graph Contrastive Invariant Learning from the Causal Perspective
  ☆25Updated last year
• BUPT-GAMMA / Uncovering-the-Structural-Fairness-in-Graph-Contrastive-Learning
  Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"
  ☆29Updated 2 years ago
• cynricfu / MECCH
  MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks
  ☆21Updated last year
• meettyj / HGMAE
  Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".
  ☆62Updated 2 years ago
• zjunet / DropMessage
  The implementation for DropMessage.
  ☆37Updated 2 years ago
• zjunet / GPF
  The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.
  ☆31Updated last year
• ivam-he / PSHGCN
  ☆19Updated 5 months ago
• NSSSJSS / MHGCN
  KDD'22
  ☆64Updated 2 years ago
• alexfanjn / FAGCN_PyG
  Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…
  ☆22Updated 2 years ago
• ntkien1904 / DMNS
  Diffusion-based Negative Sampling on Graphs for Link Prediction
  ☆9Updated last year
• shuaiOKshuai / Tail-GNN
  Tail-GNN: Tail-Node Graph Neural Networks
  ☆34Updated 3 years ago
• shenxiaocam / NCLA
  Neighbor Contrastive Learning on Learnable Graph Augmentation
  ☆37Updated last year
• LEAP-WS / CG3
  This is the repository for the AAAI 21 paper [Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Lea…
  ☆17Updated 2 years ago
• Starlien95 / HGPrompt
  ☆17Updated last year
• jianxiangyu / MEOW
  ☆29Updated 8 months ago
• JialuChenChina / ASP
  The code of "Attribute and Structure preserving Graph Contrastive Learning" (AAAI 2023 oral)
  ☆20Updated 3 months ago
• hedongxiao-tju / HOG-GCN
  ☆38Updated 3 years ago
• LuckyTiger123 / GPF
  The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.
  ☆23Updated 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
• QwQ2000 / TheWebConf24-LTGNN-PyTorch
  TheWebConf'24 full paper - "Linear-Time Graph Neural Networks for Scalable Recommendations"
  ☆18Updated 7 months ago
• GXM1141 / MA-GCL
  ☆25Updated 2 years ago
• zhoushengisnoob / CKD
  Code for The Web Conference 2022 Paper "Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding"
  ☆17Updated 3 years ago
• yule-BUAA / LEGNN
  codes of LEGNN for Semi-supervised Node Classification
  ☆12Updated 3 years ago
• yifeiacc / COSTA
  Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning
  ☆49Updated 2 years ago
• SitaoLuan / ACM-GNN
  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…
  ☆83Updated 7 months ago
• yixinliu233 / GREET
  [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
  ☆52Updated 2 years ago
• HKUDS / HGCL
  [WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"
  ☆113Updated 7 months ago
• Zehong-Wang / HGCML
  Heterogeneous Graph Contrastive Multi-view Learning, SDM 23
  ☆23Updated last year