Oceanusity / awesome-gnns-on-large-scale-graphsLinks
☆138Updated last year
Alternatives and similar repositories for awesome-gnns-on-large-scale-graphs
Users that are interested in awesome-gnns-on-large-scale-graphs are comparing it to the libraries listed below
Sorting:
- ☆135Updated last year
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆62Updated 2 years ago
- ☆113Updated last year
- A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)☆152Updated last year
- Bag of Tricks for Graph Neural Networks.☆295Updated 10 months ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆122Updated 2 years ago
- The source code of HeCo☆165Updated 3 years ago
- ☆208Updated last year
- PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"☆54Updated 2 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆193Updated last year
- Papers about out-of-distribution generalization on graphs.☆167Updated last year
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆256Updated 5 months ago
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆60Updated last year
- Datasets-for-Heterogeneous-Graph☆130Updated 5 years ago
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆322Updated last year
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆125Updated last year
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆171Updated last year
- ☆128Updated 2 months ago
- The dgl implementation of GraphSaint☆12Updated 4 years ago
- ☆76Updated 2 years ago
- Schedule for learning on graphs seminar☆109Updated last year
- This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Trainin…☆65Updated 2 years ago
- A paper collection about automated graph learning☆96Updated 11 months ago
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆65Updated last year
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆97Updated last year
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆155Updated this week
- Awesome literature on imbalanced learning on graphs☆76Updated 8 months ago
- Parameterized Explainer for Graph Neural Network☆132Updated last year
- A collection of graph data used for semi-supervised node classification.☆39Updated 2 years ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆116Updated 2 years ago