NeXAIS / DDMLinks
Directional diffusion models
☆38Updated 7 months ago
Alternatives and similar repositories for DDM
Users that are interested in DDM are comparing it to the libraries listed below
Sorting:
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆31Updated last year
- source code of AAAI 2024 paper "Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization".☆17Updated last year
- Code for AAAI 2023 (Oral) paper "Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effe…☆26Updated 11 months ago
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆60Updated 8 months ago
- Code for IJCAI'24 paper: Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders☆10Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- This repository is the implementation of the model COLA from paper: Graph Contrastive Learning Meets Graph Meta Learning: A Unified Metho…☆12Updated 10 months ago
- Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models☆10Updated last year
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆44Updated last year
- [NeurIPS'23] Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. Haotao Wang, Ziyu Jiang, Yuning Y…☆52Updated last year
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- [KDD 2024] Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective☆16Updated last year
- ☆53Updated 2 years ago
- Ratioanle-aware Graph Contrastive Learning codebase☆43Updated 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
- Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"☆34Updated last month
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆87Updated 7 months ago
- Neighbor Contrastive Learning on Learnable Graph Augmentation☆37Updated last year
- [NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framewor…☆20Updated 3 weeks ago
- Code for ICML 2023 paper "Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs"☆19Updated 2 years ago
- The implementation for DropMessage.☆37Updated 2 years ago
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆49Updated 2 years ago
- [TNNLS 2023] An official source code for paper "Simple Contrastive Graph Clustering".☆35Updated 3 months ago
- ☆49Updated 2 years ago
- [NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?☆21Updated 10 months ago
- ☆14Updated last year
- Open Source Code for GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models (KDD'24)☆26Updated 11 months ago
- [NeurIPS'24] The source code for "Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning".☆28Updated 4 months ago
- Wiener Graph Deconvolutional Network Improves Self-Supervised Learning in AAAI 2023☆18Updated last year
- This repository contains the code to reproduce experiments presented in the paper "Path Neural Networks: Expressive and Accurate Graph Ne…☆26Updated last year