d-stoll / diffpoolLinks
Diffpool implementation for GDLMA SoSe22 @ TUM
☆12Updated 3 years ago
Alternatives and similar repositories for diffpool
Users that are interested in diffpool are comparing it to the libraries listed below
Sorting:
- Scattering GCN: overcoming oversmoothness in graph convolutional networks☆25Updated 3 years ago
- Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction☆38Updated 3 years ago
- Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification☆112Updated 5 years ago
- Implementation of GraphKan with torch geometrics and its application on signal classification☆66Updated last year
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs".☆90Updated last year
- ☆20Updated 2 years ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆65Updated last year
- Dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.☆50Updated 7 months ago
- ☆38Updated 2 years ago
- Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021☆41Updated 4 years ago
- This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".☆13Updated 4 years ago
- Generating PGM Explanation for GNN predictions☆75Updated 2 years ago
- Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)☆63Updated last year
- ☆16Updated 3 years ago
- Code for “ACE-HGNN: Adaptive Curvature ExplorationHyperbolic Graph Neural Network”☆17Updated 3 years ago
- Ensemble learning with graph neural networks for disease module discovery and classification☆11Updated last year
- ☆49Updated 10 months ago
- Image classification using Graph Neural Networks (GNNs) with MNIST dataset☆44Updated 2 years ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆68Updated 3 years ago
- ☆77Updated 4 years ago
- This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.☆45Updated 6 months ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆52Updated 2 years ago
- A list for GNNs and related works.☆99Updated 3 months ago
- ☆26Updated 3 years ago
- Tensorflow 2.0 implementation of "Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning" in ICCV2019☆45Updated 5 years ago
- Course Project for CS224W at Stanford☆22Updated 3 years ago
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆54Updated 2 years ago
- Many underlying relationships among data in several areas of science and engineering, e.g., computer vision, molecular chemistry, molecul…☆56Updated last year
- ☆18Updated last year
- Edge-Augmented Graph Transformer☆80Updated last year