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
- [CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks☆31Updated 3 years ago
- Code for Implicit Regularization in Deep Matrix Factorization.☆37Updated 9 months ago
- 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 4 years ago
- Graph Filter Neural Network (ICPR'20)☆48Updated 4 years ago
- Adaptive Propagation Graph Convolutional Network☆23Updated 4 years ago
- The code for Differentiable Linearized ADMM (ICML 2019)☆36Updated 5 years ago
- ICLR 2021 (spotlight): Graph Convolution with Low-rank Learnable Local Filters☆15Updated 4 years ago
- ☆35Updated 2 years ago
- Source code of GResNet☆16Updated 4 years ago
- [CVPR2020] Tensorflow implementation for paper ''Distribution-induced Bidirectional Generative Adversarial Network for Graph Representati…☆29Updated 3 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆58Updated 4 years ago
- ☆10Updated 5 years ago
- FGCS 2021: Mutual teaching for graph convolutional networks☆15Updated 4 years ago
- source code of GLISTA☆23Updated 5 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Updated 3 years ago
- Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"☆53Updated 7 months ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆72Updated 5 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
- Source code for PairNorm (ICLR 2020)☆76Updated 5 years ago
- AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators (AAAI 2022)☆45Updated 3 years ago
- Official PyTorch implementation for the following KDD2022 paper: Variational Inference for Training Graph Neural Networks in Low-Data Re…☆20Updated 2 years ago
- Implementation of "Learning Multiscale Convolutional Dictionaries for Image Reconstruction", IEEE Transaction On Computational Imaging, 2…☆29Updated 2 years ago
- Source code for "Distilling Knowledge From Graph Convolutional Networks", CVPR'20☆57Updated 2 years ago
- Implementation of Multi-View Information Bottleneck☆132Updated 4 years ago
- Implementation of the Gumbel-Sigmoid distribution in PyTorch.☆20Updated 2 years ago
- Collection of resources related with Graph Contrastive Learning.☆34Updated 4 years ago
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- ☆25Updated 5 years ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆110Updated 3 years ago