Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)
☆46Oct 26, 2022Updated 4 years ago
Alternatives and similar repositories for Graph-Posterior-Network
Users that are interested in Graph-Posterior-Network are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A curated list of resources for OOD detection with graph data.☆19Dec 30, 2023Updated 2 years ago
- Implementation of the certificates proposed in the paper "Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized …☆37Jun 27, 2023Updated 3 years ago
- Certifiable Robustness to Graph Perturbations☆14May 8, 2020Updated 6 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆79May 18, 2022Updated 4 years ago
- ☆36Jun 29, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch☆63Aug 13, 2020Updated 6 years ago
- Network Together: Node Classification via Cross-Network Deep Network Embedding☆11May 5, 2021Updated 5 years ago
- Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, …☆86Apr 5, 2023Updated 3 years ago
- The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"☆86Jul 27, 2023Updated 3 years ago
- Code for paper "Mixup for Node and Graph Classification", WWW 2021☆47Jun 3, 2021Updated 5 years ago
- [ICLR 2023] "Graph Domain Adaptation via Theory-Grounded Spectral Regularization" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆25Feb 27, 2023Updated 3 years ago
- 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 and dataset for KDD 2021 paper: Zero-shot Node Classification with Decomposed Graph Prototype Network.☆12Jun 18, 2021Updated 5 years ago
- Differentiable DAG Sampling (ICLR 2022)☆39Jul 11, 2022Updated 4 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- data set for node classification task☆14Jan 31, 2020Updated 6 years ago
- ☆16Apr 11, 2020Updated 6 years ago
- A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).☆162Sep 8, 2019Updated 7 years ago
- This is the implementation of OODGAT from KDD'22: Learning on Graphs with Out-of-Distribution Nodes.☆23Sep 2, 2022Updated 4 years ago
- Benchmarking equivariant neural networks.☆10Dec 5, 2020Updated 5 years ago
- SEML: Slurm Experiment Management Library☆195Sep 9, 2026Updated last month
- Graph Nets (GN) implement by pytorch☆17Jul 6, 2019Updated 7 years ago
- Codes for 'Learning Probabilistic Topological Representations Using Discrete Morse Theory'☆16Sep 19, 2023Updated 3 years ago
- PyTorch Codes for Haar Graph Pooling☆11Feb 16, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Robust Benchmark MS-COCO to Stress-test Robustness of Image-Text Matching Models☆11Nov 9, 2024Updated last year
- ☆11Apr 8, 2022Updated 4 years ago
- Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484☆70Nov 29, 2023Updated 2 years ago
- Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".☆28Jul 8, 2022Updated 4 years ago
- Code for ECML-PKDD 2022 paper "GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Cont…☆24Jun 7, 2023Updated 3 years ago
- Few Shot Learning on Graphs☆33Feb 15, 2023Updated 3 years ago
- This is the official implementation for paper "How Graph Neural Networks Learn: Lessons from Training Dynamics".☆10May 28, 2024Updated 2 years ago
- A large-scale database for graph representation learning☆54Oct 6, 2022Updated 4 years ago
- Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".☆42Dec 7, 2020Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆64Apr 7, 2022Updated 4 years ago
- Code for the paper "Font Representation Learning via Paired-glyph Matching" (BMVC2022)☆13Jun 29, 2023Updated 3 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Jan 22, 2021Updated 5 years ago
- Papers about out-of-distribution generalization on graphs.☆169Jun 5, 2023Updated 3 years ago
- Uncertainty Aware Semi-Supervised Learning on Graph Data☆39Apr 5, 2021Updated 5 years ago
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Aug 8, 2023Updated 3 years ago
- Code for Neurips2021 Paper "Topology-Imbalance Learning for Semi-Supervised Node Classification".☆57Oct 11, 2021Updated 5 years ago