karenyang / GCN-VAE
project GCN-VAE for knowledge graphs
☆17Updated 4 years ago
Alternatives and similar repositories for GCN-VAE:
Users that are interested in GCN-VAE are comparing it to the libraries listed below
- ☆29Updated 2 years ago
- The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".☆20Updated 4 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆36Updated 3 years ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆36Updated 3 years ago
- The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)☆45Updated 4 years ago
- Source code for "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)☆17Updated 6 months ago
- Variational Graph Convolutional Networks☆22Updated 4 years ago
- Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)☆31Updated 2 years ago
- Reference implementation of the HEAT algorithm described in https://link.springer.com/chapter/10.1007/978-3-030-62362-3_4☆11Updated last year
- ☆24Updated 3 years ago
- ☆35Updated 5 years ago
- CGAT: Channel-aware Graph Attention Networks☆20Updated last year
- This repository summarises the open source codes of our group☆27Updated 2 years ago
- Papers on Hyperbolic embeddings and Hyperbolic Neural Network☆34Updated 4 years ago
- Source code for Noise-Contrastive Estimation for Multivariate Point Processes (NeurIPS 2020).☆15Updated 4 years ago
- Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs☆48Updated 3 years ago
- ☆30Updated 4 years ago
- Code for "Generative causal explanations of black-box classifiers"☆33Updated 4 years ago
- Source code of "Segmented GRAPH-BERT Model"☆23Updated 4 years ago
- Hyperbolic Neural Networks, pytorch☆86Updated 5 years ago
- Unsupervised Network Embeddings for Graph Visualization, Clustering and Classification☆16Updated 5 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆57Updated 4 years ago
- ☆9Updated last year
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆42Updated 2 years ago
- Implementation of Meta-GNN in TensorFlow☆47Updated 3 years ago
- Implementation of SBM-meet-GNN☆22Updated 5 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆72Updated 5 years ago
- Graph Recurrent Networks with Attributed Random Walks☆28Updated last year
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆47Updated 2 years ago
- The AutoPath pipeline for similarity modeling on heterogeneous networks with automatic path discovery☆11Updated 5 years ago