paridhimaheshwari2708 / GraphSSL
Course Project for CS224W at Stanford
☆22Updated 3 years ago
Alternatives and similar repositories for GraphSSL:
Users that are interested in GraphSSL are comparing it to the libraries listed below
- ☆79Updated 2 years ago
- Graph Positional and Structural Encoder☆44Updated last week
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆43Updated 9 months ago
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆55Updated 2 years ago
- A curated list of publications and code about data augmentaion for graphs.☆63Updated 2 years ago
- Code for our paper "Attending to Graph Transformers"☆84Updated last year
- Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction☆37Updated 2 years ago
- here you can find the material used for our Tutorials☆100Updated 3 years ago
- ☆38Updated 2 years ago
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆78Updated 3 years ago
- Graph Data Augmentation Library for PyTorch Geometric☆129Updated 2 years ago
- Explanation method for Graph Neural Networks (GNNs)☆62Updated 2 years ago
- [ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization☆77Updated last year
- Simplicial neural network benchmarking software☆18Updated 2 years ago
- Tensorflow and Pytorch implementation of "Just Balance GNN" for graph clustering.☆32Updated last year
- ☆27Updated 2 weeks ago
- Official Code Repository for the paper "Graph Ordering Attention Networks"☆21Updated last year
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆100Updated 3 years ago
- Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"☆35Updated last year
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆155Updated 9 months ago
- [ICLR 2023] Link Prediction with Non-Contrastive Learning☆26Updated 2 years ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆87Updated 3 years ago
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆77Updated last year
- ☆30Updated last year
- ☆17Updated last year
- ☆56Updated 2 years ago
- Edge-Augmented Graph Transformer☆50Updated 2 years ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆86Updated 8 months ago
- This repository contains a dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.☆49Updated 2 months ago
- All graph/GNN papers accepted at NeurIPS 2024.☆76Updated 2 months ago