sangyx / gtrickView external linksLinks
Bag of Tricks for Graph Neural Networks.
☆298Jul 19, 2024Updated last year
Alternatives and similar repositories for gtrick
Users that are interested in gtrick are comparing it to the libraries listed below
Sorting:
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆957Jul 11, 2024Updated last year
- PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)☆85Aug 27, 2023Updated 2 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,711Feb 2, 2024Updated 2 years ago
- A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)☆124Nov 15, 2023Updated 2 years ago
- [WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs☆115Nov 14, 2021Updated 4 years ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆270Dec 4, 2024Updated last year
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆337Jul 28, 2023Updated 2 years ago
- ☆137Aug 14, 2023Updated 2 years ago
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆34Dec 21, 2021Updated 4 years ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆620Jul 17, 2024Updated last year
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,817Feb 1, 2024Updated 2 years ago
- This repo contains a reference implementation for the paper "Breaking the Limit of Graph Neural Networks by Improving the Assortativity o…☆32Dec 2, 2021Updated 4 years ago
- Bags of Tricks in OGB (node classification) with GCNs.☆37Aug 11, 2021Updated 4 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆163Nov 28, 2023Updated 2 years ago
- This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.☆957Sep 22, 2025Updated 4 months ago
- Papers about graph transformers.☆923Mar 19, 2025Updated 10 months ago
- Schedule for learning on graphs seminar☆109Sep 17, 2023Updated 2 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,071May 6, 2025Updated 9 months ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆123Jul 22, 2022Updated 3 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆333Jul 6, 2023Updated 2 years ago
- Official Pytorch code for Structure-Aware Transformer.☆263Feb 21, 2023Updated 2 years ago
- A curated list of graph data augmentation papers.☆313Apr 17, 2024Updated last year
- ☆217Dec 25, 2023Updated 2 years ago
- Papers about developing deep Graph Neural Networks (GNNs)☆296Mar 29, 2023Updated 2 years ago
- Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021☆42Jun 10, 2021Updated 4 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,650Jun 22, 2023Updated 2 years ago
- [VLDB'23] SUREL+ is a novel set-based computation framework for scalable subgraph-based graph representation learning.☆17Apr 10, 2025Updated 10 months ago
- A library for graph deep learning research☆2,000Jul 15, 2024Updated last year
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆46Jul 25, 2022Updated 3 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆662Nov 1, 2022Updated 3 years ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs".☆90May 28, 2024Updated last year
- GLASS: GNN with Labeling Tricks for Subgraph Representation Learning☆31Dec 10, 2022Updated 3 years ago
- Graphormer is a general-purpose deep learning backbone for molecular modeling.☆2,421Jun 7, 2024Updated last year
- links to conference publications in graph-based deep learning☆5,019Feb 7, 2026Updated last week
- Papers about out-of-distribution generalization on graphs.☆168Jun 5, 2023Updated 2 years ago
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆313Mar 4, 2024Updated last year
- An Efficient and Unified Benchmark for GNN-based Recommendation.☆78May 11, 2023Updated 2 years ago
- Subgraph Neural Networks (NeurIPS 2020)☆203Mar 5, 2021Updated 4 years ago
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Feb 27, 2021Updated 4 years ago