Uncertainty Aware Semi-Supervised Learning on Graph Data
☆39Apr 5, 2021Updated 5 years ago
Alternatives and similar repositories for uncertainty-GNN
Users that are interested in uncertainty-GNN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This repo is for source code of NeurIPS 2021 paper "Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration".☆23Jan 4, 2022Updated 4 years ago
- Source code of "What Makes Graph Neural Networks Miscalibrated?" (NeurIPS 2022)☆24Jun 9, 2025Updated last year
- ☆25Dec 16, 2022Updated 3 years ago
- Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]☆19Sep 2, 2025Updated 10 months ago
- Official code for "Enabling Uncertainty Estimation in Iterative Neural Networks" (ICML 2024)☆19Jul 8, 2024Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆87Sep 27, 2023Updated 2 years ago
- Multidimensional Uncertainty-Aware Evidential Neural Networks ( AAAI2021)☆16Aug 19, 2021Updated 4 years ago
- This is the implementation of OODGAT from KDD'22: Learning on Graphs with Out-of-Distribution Nodes.☆23Sep 2, 2022Updated 3 years ago
- Implementation for Denoising Graph Neural Networks☆16May 8, 2019Updated 7 years ago
- Code for reproducing results in GraphMix paper☆72Nov 22, 2022Updated 3 years ago
- ☆23Jun 16, 2021Updated 5 years ago
- A Flexible Generative Framework for Graph-based Semi-supervised Learning (NeurIPS 2019)☆16Nov 14, 2021Updated 4 years ago
- ☆10Dec 8, 2021Updated 4 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆58May 22, 2019Updated 7 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- This is the available code for the paper `evidential fully convolutional network for semantic segmentation (arXiv preprint arXiv:2103.135…☆13Jun 1, 2022Updated 4 years ago
- Code for our paper "On Out-of-distribution detection with Energy-based Models" accepted to the ICML 2021 Workshop on Uncertainty & Robus…☆20Sep 30, 2021Updated 4 years ago
- [ICCV 2021 Oral] Deep Evidential Action Recognition☆133Sep 4, 2023Updated 2 years ago
- My implementation of https://arxiv.org/abs/1910.02600 in pytorch. Based on https://github.com/aamini/evidential-deep-learning☆10Jan 26, 2021Updated 5 years ago
- ☆29Jul 12, 2022Updated 4 years ago
- Code for paper "Evidence fusion with contextual discounting for multi-modality medical image segmentation"☆18Oct 9, 2022Updated 3 years ago
- A neural network accelerated solver for mixed-strategy solutions of trajectory games. Do you even lift?☆18Jun 22, 2025Updated last year
- Implementation of "Evidential Deep Learning to Quantify Classification Uncertainty" proposing a method to quantify uncertainty in a neura…☆30Sep 14, 2023Updated 2 years ago
- ☆21Aug 2, 2021Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Probabilistic 3D Shape Completion with Multi-target Conditional Variational Autoencoder☆13Nov 1, 2019Updated 6 years ago
- [CMIG‘2022] [Pytorch]A Contrastive Consistency Semi-supervised Left Atrium Segmentation Model☆15Sep 8, 2022Updated 3 years ago
- Evidential Calibration☆11Mar 8, 2022Updated 4 years ago
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆22Jun 15, 2021Updated 5 years ago
- ☆24Dec 18, 2022Updated 3 years ago
- The official implementation of the Graph Barlow Twins method with the experimental pipeline☆32Oct 15, 2023Updated 2 years ago
- NAACL 2022: Can Rationalization Improve Robustness? https://arxiv.org/abs/2204.11790☆27Nov 21, 2022Updated 3 years ago
- Code for ICLR'2021 paper: On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections☆12Jul 17, 2021Updated 5 years ago
- Learn fast, scalable, and calibrated measures of uncertainty using neural networks!☆526Aug 31, 2021Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Uncertainty-Aware Label Rectification for Domain Adaptive Mitochondria Segmentation in MICCAI 2021☆13Jun 22, 2021Updated 5 years ago
- Rnalytica: An R package of JIRA defect datasets and tool suites for actionable software analytics☆12Aug 12, 2020Updated 5 years ago
- The code of ICLR 2024 paper: Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective☆14May 30, 2024Updated 2 years ago
- Official Implementation of Our ICLR 2023 paper "ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers…☆20Oct 23, 2024Updated last year
- Generating Human Skeletons with Mutual Actions☆11Oct 22, 2021Updated 4 years ago
- The replication package of "CCRep: Learning Code Change Representations via Pre-Trained Code Model and Query Back""☆13Feb 8, 2023Updated 3 years ago
- ☆11Jun 13, 2024Updated 2 years ago