Alternatives and similar repositories for CAGCN

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

• yuwvandy / FairVGNN
  ☆26Updated 3 years ago
• DM2-ND / CFLP
  Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction
  ☆70Updated 3 years ago
• liun-online / HeCo
  The source code of HeCo
  ☆167Updated 3 years ago
• tanatosuu / svd_gcn
  CIKM 2022: SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation
  ☆21Updated 2 years ago
• HKUDS / LightGCL
  [ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"
  ☆183Updated 2 years ago
• SitaoLuan / ACM-GNN
  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…
  ☆85Updated 9 months ago
• 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
• zyzisastudyreallyhardguy / Graph-Group-Discrimination
  Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…
  ☆55Updated 2 years ago
• flyingdoog / PTDNet
  Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification
  ☆81Updated 4 years ago
• akaxlh / HCCF
  HCCF, SIGIR 2022
  ☆100Updated 2 years ago
• HKUDS / HGCL
  [WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"
  ☆116Updated 9 months ago
• snap-stanford / CAW
  ☆75Updated 2 years ago
• shuaiOKshuai / Tail-GNN
  Tail-GNN: Tail-Node Graph Neural Networks
  ☆35Updated 3 years ago
• NSSSJSS / MHGCN
  KDD'22
  ☆64Updated 2 years ago
• yixinliu233 / D2PT
  [KDD'23] Learning Strong Graph Neural Networks with Weak Information
  ☆42Updated 2 years ago
• GemsLab / HeteRobust
  How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications (KDD'22)
  ☆13Updated 3 years ago
• zjunet / GPF
  The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.
  ☆33Updated last year
• zhoushengisnoob / CKD
  Code for The Web Conference 2022 Paper "Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding"
  ☆17Updated 3 years ago
• QwQ2000 / TheWebConf24-LTGNN-PyTorch
  TheWebConf'24 full paper - "Linear-Time Graph Neural Networks for Scalable Recommendations"
  ☆18Updated last month
• GraphPKU / NeuralCommonNeighbor
  ☆47Updated last year
• blacksingular / GHRN
  [WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhe…
  ☆39Updated last year
• meettyj / HGMAE
  Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".
  ☆63Updated 2 years ago
• ivam-he / BernNet
  PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"
  ☆56Updated 2 years ago
• yixinliu233 / GREET
  [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
  ☆52Updated 2 years ago
• akaxlh / SHT
  SHT, KDD 2022
  ☆52Updated 2 years ago
• liun-online / SpCo
  The source code of SpCo
  ☆35Updated 2 years ago
• ICT-GIMLab / SeHGNN
  ☆115Updated 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
• RecklessRonan / GloGNN
  ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
  ☆44Updated 3 years ago
• HKUDS / GTE
  [CIKM'2023] "GTE: How Expressive are Graph Neural Networks for Recommendation?"
  ☆19Updated 2 years ago