Expressive Power of Invariant and Equivariant Graph Neural Networks (ICLR 2021)
☆43Aug 25, 2023Updated 2 years ago
Alternatives and similar repositories for graph_neural_net
Users that are interested in graph_neural_net are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Neural Ensemble Search for Uncertainty Estimation and Dataset Shift☆35Jan 10, 2026Updated 5 months ago
- ☆42May 20, 2020Updated 6 years ago
- Implementation of DropLoss for Long-Tail Instance Segmentation in Pytorch☆44Apr 14, 2021Updated 5 years ago
- Code for the CVPR 2020 [ORAL] paper "SAM: The Sensitivity of Attribution Methods to Hyperparameters"☆29Dec 8, 2022Updated 3 years ago
- GAN models implemented with Pytorch Lightning and Hydra configuration☆33Jun 5, 2022Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- My implementation of DeepMind's Perceiver☆65Apr 23, 2021Updated 5 years ago
- Collection of machine learning research paper references☆26Feb 23, 2025Updated last year
- Graph Metric Learning in PyTorch☆10Apr 7, 2021Updated 5 years ago
- Lightweight Cluster/Cloud VM Job Management 🚀☆44Aug 27, 2024Updated last year
- Euclidean Wasserstein-2 optimal transportation☆49Aug 19, 2023Updated 2 years ago
- Estimating Example Difficulty using Variance of Gradients☆66Jan 10, 2023Updated 3 years ago
- Course notes and notebooks to teach the fundamentals of how deep learning works; uses PyTorch.☆83Feb 16, 2021Updated 5 years ago
- A lightweight experimental logging library☆54Dec 23, 2025Updated 6 months ago
- Project Euler problem set compilation☆50Jun 1, 2026Updated last month
- 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.
- (K3IM) Keras 3 Image Models☆22Feb 22, 2024Updated 2 years ago
- A library for evaluating representations.☆81Nov 21, 2021Updated 4 years ago
- ☆100Dec 8, 2021Updated 4 years ago
- Graph Homomorphism Convolution (ICML'20)☆12Jul 6, 2023Updated 2 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Jun 10, 2021Updated 5 years ago
- Trains Transformer model variants. Data isn't shuffled between batches.☆147Oct 5, 2022Updated 3 years ago
- Lightweight ML Experiment Logging 📖☆83Aug 26, 2024Updated last year
- ☆114Updated this week
- Repo for Bigdata 2019 paper☆14Sep 28, 2021Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Comput…☆136Apr 4, 2021Updated 5 years ago
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆21Jan 27, 2022Updated 4 years ago
- Adaptive Propagation Graph Convolutional Network☆24Sep 28, 2020Updated 5 years ago
- Distributionally Robust Learning in PyTorch. Install with `pip install sqwash`.☆12Oct 6, 2023Updated 2 years ago
- A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …☆30Nov 30, 2021Updated 4 years ago
- ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.☆14Aug 20, 2024Updated last year
- KnowMAN: Weakly Supervised Multinomial Adversarial Networks☆12Nov 9, 2021Updated 4 years ago
- Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures☆49Jan 24, 2022Updated 4 years ago
- ☆14Jul 2, 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.
- [ICML 2021] GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training (official implementation)☆106Dec 19, 2022Updated 3 years ago
- ☆93Nov 15, 2019Updated 6 years ago
- ICLR 2021 (spotlight): Graph Convolution with Low-rank Learnable Local Filters☆16Jan 14, 2021Updated 5 years ago
- Lightweight Hyperparameter Optimization 🚂☆152Aug 27, 2024Updated last year
- Example codes for the book Applied Stochastic Differential Equations☆211Oct 27, 2025Updated 8 months ago
- Super Resolution datasets and models in Pytorch☆213Dec 23, 2023Updated 2 years ago
- Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)☆22Jan 26, 2023Updated 3 years ago