Expressive Power of Invariant and Equivariant Graph Neural Networks (ICLR 2021)
☆41Aug 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
Sorting:
- Neural Ensemble Search for Uncertainty Estimation and Dataset Shift☆33Jan 10, 2026Updated last month
- ☆42May 20, 2020Updated 5 years ago
- Implementation of DropLoss for Long-Tail Instance Segmentation in Pytorch☆42Apr 14, 2021Updated 4 years ago
- Graph Metric Learning in PyTorch☆10Apr 7, 2021Updated 4 years ago
- Collection of machine learning research paper references☆26Feb 23, 2025Updated last year
- Code for the CVPR 2020 [ORAL] paper "SAM: The Sensitivity of Attribution Methods to Hyperparameters"☆27Dec 8, 2022Updated 3 years ago
- My implementation of DeepMind's Perceiver☆63Apr 23, 2021Updated 4 years ago
- Graph Homomorphism Convolution (ICML'20)☆12Jul 6, 2023Updated 2 years ago
- GAN models implemented with Pytorch Lightning and Hydra configuration☆33Jun 5, 2022Updated 3 years ago
- Euclidean Wasserstein-2 optimal transportation☆46Aug 19, 2023Updated 2 years ago
- ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.☆14Aug 20, 2024Updated last year
- Lightweight Cluster/Cloud VM Job Management 🚀☆42Aug 27, 2024Updated last year
- Estimating Example Difficulty using Variance of Gradients☆64Jan 10, 2023Updated 3 years ago
- ☆13Jun 18, 2021Updated 4 years ago
- Course notes and notebooks to teach the fundamentals of how deep learning works; uses PyTorch.☆80Feb 16, 2021Updated 5 years ago
- A lightweight experimental logging library☆52Dec 23, 2025Updated 2 months ago
- ☆100Dec 8, 2021Updated 4 years ago
- PyTorch Implementation of OpenAI GPT☆128Jun 28, 2023Updated 2 years ago
- Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)☆23Jan 26, 2023Updated 3 years ago
- Adaptive Propagation Graph Convolutional Network☆24Sep 28, 2020Updated 5 years ago
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆21Jan 27, 2022Updated 4 years ago
- Source code accompanying the NeurIPS 2022 paper "Learning Partial Equivariances From Data"☆10Nov 18, 2022Updated 3 years ago
- Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning☆21Nov 4, 2021Updated 4 years ago
- A library for evaluating representations.☆77Nov 21, 2021Updated 4 years ago
- ☆11May 5, 2023Updated 2 years ago
- Pytorch implementation of The ICML 2020 paper "On Learning Sets of Symmetric Elements" by Haggai Maron, Or Litany, Gal Chechik, Ethan Fet…☆10Apr 22, 2021Updated 4 years ago
- Started as a Team Project for CS690D at UMass Amherst, now turning into pytorch implementation of hyperbolic neural networks using Poinca…☆12Dec 8, 2022Updated 3 years ago
- Official repository for the paper: "Trees with Attention for Set Prediction Tasks" (ICML21)☆10Jan 19, 2022Updated 4 years ago
- ☆25Jul 15, 2021Updated 4 years ago
- ☆12May 31, 2021Updated 4 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism""☆10Apr 17, 2021Updated 4 years ago
- Distributionally Robust Learning in PyTorch. Install with `pip install sqwash`.☆12Oct 6, 2023Updated 2 years ago
- ☆12Feb 9, 2023Updated 3 years ago
- My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Comput…☆134Apr 4, 2021Updated 4 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Jun 10, 2021Updated 4 years ago
- Trains Transformer model variants. Data isn't shuffled between batches.☆143Oct 5, 2022Updated 3 years ago
- ☆112Aug 6, 2024Updated last year
- Lightweight ML Experiment Logging 📖☆81Aug 26, 2024Updated last year
- Pytorch implementation of Performer from the paper "Rethinking Attention with Performers".☆25Oct 5, 2020Updated 5 years ago