Alternatives and similar repositories for CopulaGNN

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

• YuGuangWang / UFG
  ☆35Updated 2 years ago
• flyingtango / DiGCL
  The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021
  ☆35Updated 3 years ago
• CheriseZhu / GIL
  The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)
  ☆45Updated 4 years ago
• Thinklab-SJTU / WSGNN
  Official PyTorch implementation for the following KDD2022 paper: Variational Inference for Training Graph Neural Networks in Low-Data Re…
  ☆20Updated 2 years ago
• xiangwang1223 / reinforced_causal_explainer
  Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022
  ☆36Updated 2 years ago
• RingBDStack / ACE-HGNN
  Code for “ACE-HGNN: Adaptive Curvature ExplorationHyperbolic Graph Neural Network”
  ☆15Updated 3 years ago
• Eilene / GraphHeat
  A TensorFlow implementation of GraphHeat
  ☆16Updated 4 years ago
• jiaqima / G3NN
  A Flexible Generative Framework for Graph-based Semi-supervised Learning (NeurIPS 2019)
  ☆16Updated 3 years ago
• wanyu-lin / ICML2021-Gem
  Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."
  ☆66Updated 3 years ago
• abcbdf / ADC
  ☆25Updated last year
• ebonilla / VGCN
  Variational Graph Convolutional Networks
  ☆22Updated 4 years ago
• anonymous-sourcecode / GResNet
  Source code of GResNet
  ☆16Updated 4 years ago
• SwiftieH / SpGAT
  Spectral Graph Attention Network with Fast Eigen-approximation
  ☆11Updated 3 years ago
• TrustAGI-Lab / MERIT
  [IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".
  ☆40Updated 2 years ago
• googlebaba / DisC
  NeurIPS2022-Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure
  ☆40Updated last year
• Somedaywilldo / AutoGCL
  AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators (AAAI 2022)
  ☆46Updated 3 years ago
• yifeiwang77 / DGC
  Official Code of Decoupled Graph Convolution (DGC)
  ☆16Updated 3 years ago
• WanyuGroup / CVPR2022-OrphicX
  Official code for the CVPR 2022 (oral) paper "OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks.…
  ☆34Updated 3 years ago
• divelab / Non-Local-GNN
  Official implementation of "Non-Local Graph Neural Networks" [TPAMI]
  ☆22Updated 2 years ago
• zetayue / CPA
  Source code for "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)
  ☆17Updated 9 months ago
• CheriseZhu / GSSNN
  The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".
  ☆20Updated 4 years ago
• hedongxiao-tju / BM-GCN
  The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".
  ☆33Updated 3 years ago
• weitianxin / HyperGCL
  [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…
  ☆60Updated 2 years ago
• harryjo97 / EHGNN
  Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)
  ☆53Updated 2 years ago
• Chen-Cai-OSU / GNN-Over-Smoothing
  A Note On Over-Smoothing for Graph Neural Network
  ☆20Updated 4 years ago
• jumxglhf / AKGNN
  The source code for Adaptive Kernel Graph Neural Network at AAAI2022
  ☆14Updated 3 years ago
• hengruizhang98 / CCA-SSG
  Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484
  ☆68Updated last year
• BUPT-GAMMA / CaGCN
  This repo is for source code of NeurIPS 2021 paper "Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration".
  ☆22Updated 3 years ago
• xiongbo010 / QGCN
  PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))
  ☆16Updated 10 months ago
• jma712 / HyperSCI
  ☆44Updated last year