LingxiaoShawn / PardLinks
Permutation-Invariant Autoregressive Diffusion (NeurIPS 2024)
☆17Updated 10 months ago
Alternatives and similar repositories for Pard
Users that are interested in Pard are comparing it to the libraries listed below
Sorting:
- EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling☆63Updated 2 months ago
- An implementation of the Autoregressive Diffusion Model for Graph Generation from [Kong et al. 2023]☆38Updated 6 months ago
- Official Code Repository for the paper "Graph Generation with Diffusion Mixture" (ICML 2024).☆34Updated last year
- Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (I…☆173Updated last year
- Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …☆26Updated 2 years ago
- Diffusion Models for Graphs Benefit From Discrete State Spaces☆34Updated 2 years ago
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆100Updated last year
- PyTorch implementation of GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks☆36Updated 2 years ago
- Main code for "Revisiting over-smoothing and over-squashing using the Ollivier-Ricci curvature" paper☆17Updated 2 years ago
- Code Repository for GDSS using Graph Transformer☆16Updated last year
- ☆213Updated 2 years ago
- Implementation for the paper: GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation☆29Updated 2 years ago
- ☆29Updated last year
- ☆35Updated last year
- Official Pytorch implementation of NeuralWalker (ICLR 2025)☆34Updated last month
- This repository is the official implementation of "Hyperbolic Geometric Latent Diffusion Model for Graph Generation (HypDiff)" accepted b…☆28Updated 9 months ago
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆103Updated 2 years ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆88Updated last year
- Official Implementation of "D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion"☆23Updated last year
- Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models☆25Updated last year
- Relational Graph Transformer☆42Updated last month
- Official implementation for 'Sparse denoising diffusion for large graph generation'☆65Updated last year
- ☆89Updated last year
- Transformer-based Spectral Graph Neural Networks☆86Updated 10 months ago
- Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"☆21Updated 2 years ago
- A collection of papers on Graph Structural Learning (GSL)☆55Updated last year
- Official implementation of GOAT model (ICML2023)☆38Updated 2 years ago
- Code repository of "Towards Deep Attention in Graph Neural Networks: Problems and Remedies," published in ICML 2023.☆29Updated 4 months ago
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆163Updated last year
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆31Updated last year