☆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 …☆18Aug 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
- 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"☆98Apr 25, 2022Updated 3 years ago
- A Note On Over-Smoothing for Graph Neural Network☆20Jun 29, 2020Updated 5 years ago
- This is the official repository for the paper "Laplacian Features for Learning with Hyperbolic Space"☆13Aug 8, 2022Updated 3 years ago
- Differentiable Euler Characteristic Transform☆17Jun 18, 2024Updated last year
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆165Nov 28, 2023Updated 2 years ago
- Official code for the paper `Neural Algorithmic Reasoning for Combinatorial Optimisation`☆21Nov 27, 2023Updated 2 years ago
- ☆166Mar 14, 2024Updated 2 years ago
- ICML23 "Latent Traversals in Generative Models as Potential Flows"☆27Oct 23, 2023Updated 2 years ago
- ☆25Apr 3, 2024Updated last year
- 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☆39Apr 1, 2022Updated 3 years ago
- Simplicial neural network benchmarking software☆17Jun 9, 2022Updated 3 years ago
- ☆11Sep 16, 2023Updated 2 years ago
- ☆55Jun 14, 2022Updated 3 years ago
- ☆12May 31, 2021Updated 4 years ago
- Main code for "Revisiting over-smoothing and over-squashing using the Ollivier-Ricci curvature" paper☆17May 30, 2023Updated 2 years ago
- ☆15Feb 23, 2025Updated last year
- Sensor Fusion Python Based Code☆10Jan 30, 2022Updated 4 years ago
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆267Feb 10, 2022Updated 4 years ago
- ☆155Aug 23, 2021Updated 4 years ago
- Egocentric Temporal Motifs Miner☆12Nov 9, 2021Updated 4 years ago
- ETNgen: A temporal graph generator based on Egocentric Temporal Motifs☆14Aug 11, 2023Updated 2 years ago
- ☆90Aug 16, 2023Updated 2 years ago
- Implementation of the BasePlanE models and the experiments from the NeurIPS 2023 paper "PlanE: Representation Learning over Planar Graphs…☆13Jan 27, 2024Updated 2 years ago
- PyTorch Codes for Haar Graph Pooling☆11Feb 16, 2023Updated 3 years ago
- Code for "Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs" (NeurIPS 2020)☆18Jan 8, 2021Updated 5 years ago
- Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 using PyTorch library and POT…☆16Feb 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))☆17Jul 5, 2024Updated last year
- Implementation of Directional Graph Networks in PyTorch and DGL☆118Apr 4, 2021Updated 4 years ago
- ☆16Mar 2, 2022Updated 4 years ago
- Analysing fairness of graph anomaly detection methods☆12Nov 24, 2024Updated last year