☆42Jul 3, 2022Updated 3 years ago
Alternatives and similar repositories for understanding-oversquashing
Users that are interested in understanding-oversquashing 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 repository holds code and other relevant files for the Learning on Graphs 2022 (LoG) tutorial "Graph Rewiring: From Theory to Applic…☆54Dec 20, 2022Updated 3 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 2 years ago
- DiffWire: Inductive Graph Rewiring via the Lovász Bound. In Proceedings of the First Learning on Graphs Conference. 2022. Adrian Arnaiz-R…☆19Jan 31, 2023Updated 3 years ago
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆16Sep 4, 2023Updated 2 years ago
- virtual node analysis on ogb benchmark dataset☆14Mar 9, 2023Updated 3 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.
- Geometric Generative Model Tutorial at LoG 2024☆27Nov 27, 2024Updated last year
- ☆13Feb 16, 2021Updated 5 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆100Apr 25, 2022Updated 4 years ago
- A Note On Over-Smoothing for Graph Neural Network☆20Jun 29, 2020Updated 5 years ago
- Differentiable Euler Characteristic Transform☆17Jun 18, 2024Updated last year
- This is the official repository for the paper "Laplacian Features for Learning with Hyperbolic Space"☆14Aug 8, 2022Updated 3 years ago
- SignNet and BasisNet☆101Jul 25, 2023Updated 2 years ago
- Graph Neural PDEs☆340Oct 20, 2022Updated 3 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆166Nov 28, 2023Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆16Jun 24, 2024Updated last year
- Official code for the paper `Neural Algorithmic Reasoning for Combinatorial Optimisation`☆22Apr 3, 2026Updated last month
- ☆165Mar 14, 2024Updated 2 years ago
- ☆25Apr 3, 2024Updated 2 years ago
- Code of "A Geometric Perspective on Variational Autoencoders" (NeurIPS 2022)☆15Nov 19, 2024Updated last year
- Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction☆41Apr 1, 2022Updated 4 years ago
- Simplicial neural network benchmarking software☆17Jun 9, 2022Updated 3 years ago
- ICML23 "Latent Traversals in Generative Models as Potential Flows"☆28Oct 23, 2023Updated 2 years ago
- ☆11Sep 16, 2023Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆55Jun 14, 2022Updated 3 years ago
- Main code for "Revisiting over-smoothing and over-squashing using the Ollivier-Ricci curvature" paper☆18May 30, 2023Updated 2 years ago
- ☆15Feb 23, 2025Updated last year
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆267Feb 10, 2022Updated 4 years ago
- ☆154Aug 23, 2021Updated 4 years ago
- ☆46Nov 17, 2021Updated 4 years ago
- Egocentric Temporal Motifs Miner☆13Nov 9, 2021Updated 4 years ago
- ETNgen: A temporal graph generator based on Egocentric Temporal Motifs☆14Aug 11, 2023Updated 2 years ago
- InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models☆36Mar 8, 2025Updated last year
- 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.
- ☆95Aug 16, 2023Updated 2 years ago
- ☆21Apr 14, 2025Updated last year
- Code for "Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs" (NeurIPS 2020)☆18Jan 8, 2021Updated 5 years ago
- PyTorch Codes for Haar Graph Pooling☆11Feb 16, 2023Updated 3 years ago
- Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 using PyTorch library and POT…☆15Feb 25, 2022Updated 4 years ago
- Python package for the ICML 2022 paper "Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors".☆10Sep 2, 2024Updated last year
- PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))☆19Jul 5, 2024Updated last year