gear / denoising-gnn
Implementation for Denoising Graph Neural Networks
☆16Updated 5 years ago
Alternatives and similar repositories for denoising-gnn:
Users that are interested in denoising-gnn are comparing it to the libraries listed below
- Second-Order Pooling for Graph Neural Networks☆16Updated 4 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism""☆9Updated 3 years ago
- ☆35Updated 2 years ago
- [CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks☆30Updated 3 years ago
- Github page for the paper "Variational Recurrent Neural Networks for Graph Classification" presented at the RLGM workshop of ICLR 2019☆13Updated 4 years ago
- pytorch geometric version☆12Updated 5 years ago
- [CVPR2020] Tensorflow implementation for paper ''Distribution-induced Bidirectional Generative Adversarial Network for Graph Representati…☆29Updated 3 years ago
- The code for Differentiable Linearized ADMM (ICML 2019)☆34Updated 5 years ago
- Linxiao Yang, Ngai-Man Cheung, Jiaying Li, and Jun Fang, "Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embeddi…☆50Updated 4 years ago
- Source code for PairNorm (ICLR 2020)☆76Updated 4 years ago
- Code for "Explainability methods for graph convolutional neural networks" - PE Pope*, S Kolouri*, M Rostami, CE Martin, H Hoffmann (CVPR …☆34Updated 5 months ago
- [NeurIPS 2021] Self-Supervised GANs with Label Augmentation☆21Updated last year
- Inception Graph Convolutional NN on medical and non-medical datasets☆21Updated 4 years ago
- Source Code of IJCAI 2022 paper "Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport"☆23Updated 2 years ago
- FGCS 2021: Mutual teaching for graph convolutional networks☆15Updated 4 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 5 years ago
- Sparse graph attention☆17Updated 6 years ago
- Code for Implicit Regularization in Deep Matrix Factorization.☆33Updated 6 months ago
- Graph Filter Neural Network (ICPR'20)☆48Updated 4 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆57Updated 4 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆72Updated 5 years ago
- Dual Attention Graph Convolutional Network☆88Updated 3 years ago
- Official code for ICLR 2023 paper "ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond "☆34Updated last year
- Source code for "Distilling Knowledge From Graph Convolutional Networks", CVPR'20☆58Updated last year
- Pytorch reproduction of the paper "Gaussian Mixture Model Convolutional Networks" (CVPR 17)☆55Updated 5 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Updated 3 years ago
- Python implementation of "Unsupervised Domain Adaptive Graph Convolutional Networks", WWW-20.☆55Updated 3 years ago
- ☆16Updated 4 years ago
- ☆24Updated 3 years ago
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Updated last year