Official Implementation of "Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning"
☆18Feb 11, 2023Updated 3 years ago
Alternatives and similar repositories for gnn-gp
Users that are interested in gnn-gp are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆19Dec 9, 2023Updated 2 years ago
- ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.☆14Aug 20, 2024Updated last year
- Source code for "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)☆17Jul 25, 2024Updated 2 years ago
- PyTorch Codes for Haar Graph Pooling☆11Feb 16, 2023Updated 3 years ago
- Cluster-Normalize-Activate Modules☆13Jan 13, 2025Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- JData: a language-independent data annotation for portable storage and interchange☆17Updated this week
- Algorithms for identifying coherent structures in sparse and noisy trajectory datasets☆17Oct 22, 2021Updated 4 years ago
- Repository of the paper "On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks" published in ACM CIKM …☆19Aug 8, 2023Updated 3 years ago
- An R package to help assess the sensitivity of a Bayesian model (fitted with Stan) to the specification of its likelihood and priors☆11May 29, 2026Updated 2 months ago
- Implementation of deep kernels in GPyTorch and Pyro☆13Jan 19, 2021Updated 5 years ago
- Repository containing the PhD Thesis "Formal Verification of Deep Reinforcement Learning Agents"☆11Aug 29, 2022Updated 3 years ago
- docker:dind with NVIDIA GPU support via NVIDIA container toolkit☆14Aug 3, 2026Updated 2 weeks ago
- Official implementation of Spectro-Riemannian Graph Neural Networks (ICLR 2025)☆17Jul 17, 2026Updated last month
- Code for paper 'Node-oriented Spectral Filtering for Graph Neural Networks'(TPAMI2024)☆15Mar 11, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- [ICML2022] Variational Wasserstein gradient flow☆24Oct 17, 2022Updated 3 years ago
- Main code for "Revisiting over-smoothing and over-squashing using the Ollivier-Ricci curvature" paper☆19May 30, 2023Updated 3 years ago
- SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization☆11Aug 12, 2020Updated 6 years ago
- Reinforcement Learning applied to the Snake Game☆10Jul 17, 2014Updated 12 years ago
- Code customizations and scripts related to LLC4320 family of configurations.☆22Updated this week
- Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs (MLSys'25)☆19Apr 4, 2025Updated last year
- ☆15Jul 6, 2023Updated 3 years ago
- generic tools for causal inference with panel data☆12Aug 7, 2026Updated last week
- Library for Bayesian Quadrature☆32Apr 2, 2019Updated 7 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.
- Course notes, worksheets, and timetable for Bayesian Hierarchical Modelling course☆28Apr 25, 2022Updated 4 years ago
- ICCAD2024 - CFIRSTNET: Comprehensive Features for Static IR Drop Estimation with Neural Network☆17Aug 12, 2025Updated last year
- Graph revised convolutional network (ECML-PKDD 2020)☆17Oct 14, 2020Updated 5 years ago
- Spatio-Spectral Graph Neural Networks (S²GNN)☆20Feb 25, 2025Updated last year
- Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".☆38Jun 14, 2022Updated 4 years ago
- Variational Graph Convolutional Networks☆23Oct 16, 2020Updated 5 years ago
- The implementation of "Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization" (NeurIPS…☆22Nov 4, 2024Updated last year
- Code for "Machine-Learning Non-Conservative Dynamics for New-Physics Detection" (arXiv: 2106.00026)☆14Aug 1, 2021Updated 5 years ago
- ☆13May 30, 2024Updated 2 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.
- OCF's DataPipe based dataloader for training and inference☆15Jun 2, 2025Updated last year
- implement the classic reinforcement learning algorithm DQN to play supermariobrother☆15Dec 18, 2017Updated 8 years ago
- GraphCDR: A graph neural network method with contrastive learning for cancer drug response prediction☆32Sep 27, 2021Updated 4 years ago
- [NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"☆16Jul 19, 2024Updated 2 years ago
- A 3D-equivariant neural network for protein structure accuracy estimation☆22Feb 24, 2023Updated 3 years ago
- Generalized Autoregressive Score Models in R☆18Aug 17, 2025Updated last year
- Code for the paper "Disentangled Generative Models for Robust Prediction of System Dynamics"☆15May 2, 2023Updated 3 years ago