SsGood / DBGANLinks
[CVPR2020] Tensorflow implementation for paper ''Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning''
☆29Updated 4 years ago
Alternatives and similar repositories for DBGAN
Users that are interested in DBGAN are comparing it to the libraries listed below
Sorting:
- Second-Order Pooling for Graph Neural Networks☆16Updated 5 years ago
- Source code for "Distilling Knowledge From Graph Convolutional Networks", CVPR'20☆59Updated 2 years ago
- attention mechanism for graph classification, significant sub-graph mining, graph disstillation☆38Updated 5 years ago
- Pytorch Implementation of Automatic Relation-aware Graph Network Proliferation (CVPR'22, Oral)☆26Updated last year
- [TPAMI 2022 & CVPR 2020 Oral] Dynamic Graph Message Passing Networks☆32Updated 3 years ago
- Sparse graph attention☆17Updated 7 years ago
- Unofficial implement of CLSA(Contrastive Learning with Stronger Augmentations) with minimum modifications on official moco's code☆33Updated 5 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism""☆10Updated 4 years ago
- Official repo for Directional Self-supervised Learning for Heavy Image Augmentations [CVPR2022]☆12Updated 3 years ago
- ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust☆17Updated 5 years ago
- Continual learning using variational prototype replays☆10Updated 5 years ago
- Transductive Zero-Shot Learning with Visual Structure Constraint, in NeurIPS 2019☆43Updated 6 years ago
- ☆34Updated 4 years ago
- Official Pytorch Implementation for CVPR'20 paper: Deep Semantic Clustering by Partition Confidence Maximisation☆62Updated 5 years ago
- Hyperbolic Visual Embedding Learning for Zero-Shot Recognition (CVPR 2020)☆82Updated 2 years ago
- The source code of our ACM MM 2019 paper "TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning".☆25Updated 5 years ago
- Dual Attention Graph Convolutional Network☆90Updated 4 years ago
- GCAGC, CVPR2020, GCAGC-Inst, TMM2021. Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection☆38Updated 4 years ago
- Code for ICCV 2021 paper "Distilling Holistic Knowledge with Graph Neural Networks"☆44Updated 4 years ago
- Graph Learning Convolution Network☆39Updated 2 years ago
- Pytorch implementation for ICLR 2021 paper - MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering☆53Updated 4 years ago
- NeurIPS 2019 : Learning to Propagate for Graph Meta-Learning☆36Updated 6 years ago
- Modify pyGAT (https://github.com/Diego999/pyGAT) to use PyTorch sparse operators for implementation of SpGraphAttentionLayer☆19Updated 7 years ago
- PyTorch implementation for Partially View-aligned Representation Learning with Noise-robust Contrastive Loss (CVPR 2021)☆51Updated 3 years ago
- Code release for NeurIPS 2020 paper "Stochastic Normalization"☆22Updated 3 years ago
- ☆58Updated 4 years ago
- Code for "Balanced Knowledge Distillation for Long-tailed Learning"☆29Updated 2 years ago
- LowFER: Low-rank Bilinear Pooling for Link Prediction (ICML 2020)☆13Updated 3 years ago
- ISD: Self-Supervised Learning by Iterative Similarity Distillation☆36Updated 4 years ago
- Based on Graph Convolutional Networks in PyTorch, visualization of test set results was added with t-SNE algorithm.☆44Updated 5 years ago