SsGood / DBGANLinks
[CVPR2020] Tensorflow implementation for paper ''Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning''
☆29Updated 3 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
- attention mechanism for graph classification, significant sub-graph mining, graph disstillation☆38Updated 4 years ago
- Source code for "Distilling Knowledge From Graph Convolutional Networks", CVPR'20☆57Updated 2 years ago
- [TPAMI 2022 & CVPR 2020 Oral] Dynamic Graph Message Passing Networks☆32Updated 3 years ago
- Sparse graph attention☆17Updated 7 years ago
- Graph Learning Convolution Network☆39Updated 2 years ago
- Pytorch Implementation of Automatic Relation-aware Graph Network Proliferation (CVPR 2022 Oral)☆26Updated last year
- Code for ICCV 2021 paper "Distilling Holistic Knowledge with Graph Neural Networks"☆43Updated 3 years ago
- [NeurIPS-2021] Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation☆42Updated 2 years ago
- Official repo for Directional Self-supervised Learning for Heavy Image Augmentations [CVPR2022]☆12Updated 3 years ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆111Updated 4 years ago
- PyTorch implementation for Partially View-aligned Representation Learning with Noise-robust Contrastive Loss (CVPR 2021)☆51Updated 3 years ago
- Collection of resources related with Graph Contrastive Learning.☆34Updated 4 years ago
- Github page for the paper "Variational Recurrent Neural Networks for Graph Classification" presented at the RLGM workshop of ICLR 2019☆13Updated 5 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆58Updated 5 years ago
- ☆58Updated 4 years ago
- Dual Attention Graph Convolutional Network☆90Updated 4 years ago
- [CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks☆31Updated 3 years ago
- Modify pyGAT (https://github.com/Diego999/pyGAT) to use PyTorch sparse operators for implementation of SpGraphAttentionLayer☆19Updated 6 years ago
- Hyperbolic Visual Embedding Learning for Zero-Shot Recognition (CVPR 2020)☆82Updated 2 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆123Updated last year
- Dual Graph Convolution Networks☆96Updated 6 years ago
- ☆30Updated 2 years ago
- LowFER: Low-rank Bilinear Pooling for Link Prediction (ICML 2020)☆13Updated 3 years ago
- ☆44Updated 4 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 6 years ago
- ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust☆17Updated 4 years ago
- Implementation of Multi-View Information Bottleneck☆132Updated 5 years ago
- Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"☆97Updated 2 years ago
- Unofficial implement of CLSA(Contrastive Learning with Stronger Augmentations) with minimum modifications on official moco's code☆32Updated 4 years ago