karenyang / GCN-VAE

Related projects ⓘ

Alternatives and complementary repositories for GCN-VAE

• DeepGraphLearning / SPN
  ☆29Updated 2 years ago
• matenure / OTCoarsening
  Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
  ☆36Updated 3 years ago
• zetayue / CPA
  Source code for "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)
  ☆17Updated 3 months ago
• flyingtango / DiGCL
  The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021
  ☆35Updated 2 years ago
• CheriseZhu / GSSNN
  The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".
  ☆20Updated 4 years ago
• Louise-LuLin / topic-gcn
  CGAT: Channel-aware Graph Attention Networks
  ☆20Updated last year
• ebonilla / VGCN
  Variational Graph Convolutional Networks
  ☆22Updated 4 years ago
• HKUST-KnowComp / DummyNode4GraphLearning
  Source Code for ICML 2022 paper "Boosting Graph Structure Learning with Dummy Nodes"
  ☆19Updated last year
• LiuChuang0059 / hyperbolic_embedding_papers
  Papers on Hyperbolic embeddings and Hyperbolic Neural Network
  ☆35Updated 4 years ago
• hongyuanmei / nce-mpp
  Source code for Noise-Contrastive Estimation for Multivariate Point Processes (NeurIPS 2020).
  ☆15Updated 4 years ago
• cuilimeng / DETERRENT
  ☆29Updated 4 years ago
• cshjin / GCL
  List of Publications in Graph Contrastive Learning
  ☆35Updated 2 years ago
• HongtengXu / Relational-Factorization-Model
  Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)
  ☆30Updated 2 years ago
• IIEdm / AKE
  Guiding Entity Alignment via Adversarial Knowledge Embedding
  ☆15Updated 4 years ago
• junwu6 / DEMO-Net
  DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification
  ☆27Updated 3 years ago
• DeepGraphLearning / FewShotRE
  ☆38Updated 4 years ago
• xiyou3368 / DGVAE
  ☆25Updated 3 years ago
• YuxiangRen / Hierarchical-Graph-Attention-Network
  ☆41Updated last year
• netpaladinx / DPMPN
  ☆20Updated last year
• GentleZhu / Shift-Robust-GNNs
  "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')
  ☆47Updated 2 years ago
• CheriseZhu / GIL
  The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)
  ☆45Updated 4 years ago
• GentleZhu / EGI
  Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')
  ☆23Updated 2 years ago
• karl-zhao / benchmarking-gnns-pyg
  ☆30Updated last year
• linmengsysu / IsoNN
  ☆9Updated last year
• INK-USC / DArtNet
  Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution
  ☆20Updated 4 years ago
• JeanKaddour / SIN
  Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)
  ☆42Updated 2 years ago
• danielzuegner / robust-gcn
  Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".
  ☆42Updated 3 years ago
• joeybose / Meta-Graph
  Meta-Learning for Few Shot Link Prediction
  ☆48Updated 4 years ago
• aravindsankar28 / Meta-GNN
  Implementation of Meta-GNN in TensorFlow
  ☆47Updated 3 years ago
• suamin / LowFER
  LowFER: Low-rank Bilinear Pooling for Link Prediction (ICML 2020)
  ☆12Updated 2 years ago