sigvae / SIGraphVAELinks
☆26Updated 6 years ago
Alternatives and similar repositories for SIGraphVAE
Users that are interested in SIGraphVAE are comparing it to the libraries listed below
Sorting:
- A Pytorch implementation of Semi-implicit-graph-variational-auto-encoders☆14Updated 5 years ago
- Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs☆138Updated 3 years ago
- Code for reproducing results in GraphMix paper☆72Updated 3 years ago
- Code for Graphite iterative graph generation☆59Updated 6 years ago
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Updated 2 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆199Updated last year
- Graph Representation Learning via Graphical Mutual Information Maximization☆118Updated 5 years ago
- (CIKM'21) Variational Graph Normalized Auto-Encoders☆36Updated 3 years ago
- Source code for PairNorm (ICLR 2020)☆79Updated 5 years ago
- PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"☆48Updated last year
- Implementation of SBM-meet-GNN☆23Updated 6 years ago
- The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)☆46Updated 5 years ago
- the Implementation of "Structural Deep Embedding for Hyper-Networks"（AAA20I8）☆48Updated 6 years ago
- Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch☆62Updated 5 years ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆107Updated 6 months ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆86Updated last year
- [ICLR 2023] "Graph Domain Adaptation via Theory-Grounded Spectral Regularization" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆23Updated 2 years ago
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆81Updated 4 years ago
- Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)☆44Updated 3 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆73Updated 6 years ago
- Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching☆44Updated 6 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆61Updated 4 years ago
- Variational Graph Convolutional Networks☆23Updated 5 years ago
- Implementation of the CIKM-17 paper “MGAE: Marginalized Graph Autoencoder for Graph Clustering”☆28Updated 3 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- This is a Pytorch implementation of our "Learning on Attribute-Missing Graphs".☆28Updated 3 years ago
- Papers about developing DL methods on disassortative graphs☆48Updated 3 years ago
- Graph Structured Neural Network☆40Updated 3 years ago
- A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …☆30Updated 4 years ago
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆21Updated 3 years ago