ChengyiLIU-cs / Generative-Diffusion-Models-on-Graphs
☆195Updated last year
Alternatives and similar repositories for Generative-Diffusion-Models-on-Graphs:
Users that are interested in Generative-Diffusion-Models-on-Graphs are comparing it to the libraries listed below
- Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (I…☆167Updated last year
- code for the paper "DiGress: Discrete Denoising diffusion for graph generation"☆407Updated last month
- EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling☆55Updated last year
- ☆323Updated 2 months ago
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆117Updated 3 months ago
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆158Updated 11 months ago
- Transformer-based Spectral Graph Neural Networks☆79Updated 5 months ago
- Official Repository for NeurIPS 2024 Paper Unifying Generation and Prediction on Graphs with Latent Graph Diffusion☆19Updated 3 months ago
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆87Updated 4 months ago
- Official implementation for 'Sparse denoising diffusion for large graph generation'☆57Updated 10 months ago
- An implementation of the Autoregressive Diffusion Model for Graph Generation from [Kong et al. 2023]☆32Updated 2 months ago
- ☆18Updated last year
- Implementation for the paper: GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation☆26Updated 2 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆157Updated last year
- All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.☆192Updated 4 months ago
- Representing Long-Range Context for Graph Neural Networks with Global Attention☆129Updated 2 years ago
- List of papers on NeurIPS2023☆89Updated last year
- GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23☆153Updated last year
- Official Code Repository for the paper "Graph Generation with Diffusion Mixture" (ICML 2024).☆28Updated 10 months ago
- The survey on diffusion-based graph genrative methods☆18Updated 2 months ago
- Accompanied repositories for our paper Graph foundation model☆192Updated 4 months ago
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆103Updated last year
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆189Updated 2 months ago
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆192Updated last month
- SignNet and BasisNet☆96Updated last year
- Official Pytorch code for Structure-Aware Transformer.☆256Updated 2 years ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆87Updated 10 months ago
- GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22☆503Updated last year
- This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.☆41Updated 3 weeks ago
- ☆34Updated last year