A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).
☆161Sep 8, 2019Updated 6 years ago
Alternatives and similar repositories for BGCN
Users that are interested in BGCN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆11Mar 24, 2023Updated 3 years ago
- Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch☆62Aug 13, 2020Updated 5 years ago
- Bayesian Graph Neural Networks☆12Sep 10, 2021Updated 4 years ago
- Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)☆45Oct 26, 2022Updated 3 years ago
- KDD 2020: AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆10Apr 20, 2021Updated 5 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Pytorch implementation of XGNN☆10Jan 20, 2021Updated 5 years ago
- Variational Graph Convolutional Networks☆23Oct 16, 2020Updated 5 years ago
- personalized recommendation☆12Mar 26, 2020Updated 6 years ago
- Reproduce results from "Brain Tumor Type Classification via Capsule Networks" (Afshar et al.) for a final project in a Deep Learning clas…☆12Apr 7, 2021Updated 5 years ago
- implement bayesian neural networks on tensorflow.☆17Feb 14, 2020Updated 6 years ago
- official PyTorch implementation of paper "Continual Meta-Learning with Bayesian Graph Neural Networks" (AAAI2020)☆63Jun 18, 2020Updated 5 years ago
- Integrative orthogonal non-negative matrix factorization☆31Sep 29, 2019Updated 6 years ago
- Active Learning with Partial Feedback, ICLR 2019☆11Apr 27, 2020Updated 6 years ago
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,571Apr 19, 2024Updated 2 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆255Aug 25, 2020Updated 5 years ago
- Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"☆12Aug 17, 2021Updated 4 years ago
- Representation Learning on Graphs with Jumping Knowledge Networks☆38Jun 13, 2019Updated 6 years ago
- Model-Agnostic Augmentation for Accurate Graph Classification (WWW 2022)☆20Aug 22, 2025Updated 8 months ago
- This is a sample implementation of "Robust Graph Convolutional Networks Against Adversarial Attacks", KDD 2019.☆10Dec 8, 2020Updated 5 years ago
- Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".☆43Dec 7, 2020Updated 5 years ago
- A tensorflow implementation of multi-layer GCN, and at the same time adding a residual layer, based on the semi-GCN of paper"Semi-Supervi…☆14Jul 29, 2019Updated 6 years ago
- Uncertainty quantification of molecular property prediction using Bayesian deep learning☆46Feb 14, 2019Updated 7 years ago
- Inductive graph-based matrix completion (IGMC) from "M. Zhang and Y. Chen, Inductive Matrix Completion Based on Graph Neural Networks, IC…☆367Apr 9, 2023Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Adversarial training for Graph Neural Networks☆61Feb 26, 2021Updated 5 years ago
- Adversarial Attacks on Node Embeddings via Graph Poisoning☆59Dec 23, 2019Updated 6 years ago
- Code for paper "Mixup for Node and Graph Classification", WWW 2021☆47Jun 3, 2021Updated 4 years ago
- Uncertainty Aware Semi-Supervised Learning on Graph Data☆40Apr 5, 2021Updated 5 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆306May 12, 2023Updated 2 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆194Apr 24, 2024Updated 2 years ago
- ☆12Feb 17, 2025Updated last year
- gnn explainer☆1,042Aug 30, 2024Updated last year
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆40Apr 25, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆13Feb 16, 2021Updated 5 years ago
- Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".☆156Dec 9, 2021Updated 4 years ago
- An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).☆406Nov 6, 2022Updated 3 years ago
- Dropout as Regularization and Bayesian Approximation☆56Nov 17, 2018Updated 7 years ago
- Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"☆97Jul 6, 2023Updated 2 years ago
- Semi-supervised learning with graph embeddings☆953Mar 5, 2020Updated 6 years ago
- ☆71Aug 26, 2020Updated 5 years ago