yuanqidu / awesome-graph-generation
☆335Updated 4 months ago
Alternatives and similar repositories for awesome-graph-generation
Users that are interested in awesome-graph-generation are comparing it to the libraries listed below
Sorting:
- ☆200Updated last year
- code for the paper "DiGress: Discrete Denoising diffusion for graph generation"☆420Updated last month
- Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (I…☆169Updated last year
- All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.☆206Updated 6 months ago
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆304Updated last year
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆157Updated last year
- GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22☆514Updated 2 years ago
- Official Pytorch code for Structure-Aware Transformer.☆257Updated 2 years ago
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆196Updated 2 months ago
- ☆60Updated 2 years ago
- EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling☆55Updated last year
- Representing Long-Range Context for Graph Neural Networks with Global Attention☆131Updated 3 years ago
- A curated list of graph data augmentation papers.☆309Updated last year
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆83Updated last year
- [NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch☆335Updated 2 years ago
- ☆156Updated 3 years ago
- A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)☆125Updated last year
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆121Updated 5 months ago
- GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23☆158Updated last year
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆348Updated 2 years ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆257Updated 5 months ago
- SignNet and BasisNet☆97Updated last year
- Subgraph Neural Networks (NeurIPS 2020)☆194Updated 4 years ago
- Accompanied repositories for our paper Graph foundation model☆203Updated 6 months ago
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆194Updated 4 months ago
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆160Updated last year
- [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.☆167Updated last year
- Recipe for a General, Powerful, Scalable Graph Transformer☆731Updated 10 months ago
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆255Updated 3 years ago
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆92Updated 6 months ago