Graph-COM / GraphMakerLinks
[TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?
☆62Updated 4 months ago
Alternatives and similar repositories for GraphMaker
Users that are interested in GraphMaker are comparing it to the libraries listed below
Sorting:
- ☆90Updated last year
- Code for our paper "Attending to Graph Transformers"☆90Updated last year
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆97Updated last year
- List of papers on NeurIPS2023☆89Updated last year
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆82Updated last year
- List of papers on ICML2023.☆55Updated last year
- GraphAny: Fully-inductive Node Classification on Arbitrary Graphs☆146Updated 6 months ago
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆119Updated last year
- Accompanied repositories for our paper Graph foundation model☆212Updated 9 months ago
- ☆29Updated last year
- Transformer-based Spectral Graph Neural Networks☆84Updated 10 months ago
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆81Updated 2 years ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆89Updated last year
- ☆96Updated 2 years ago
- Dynamic Graph Benchmark☆82Updated 2 years ago
- Rex Ying's Ph.D. Thesis, Stanford University☆41Updated 3 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆157Updated last year
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆46Updated last year
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆100Updated last year
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆311Updated last year
- PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)☆73Updated 3 years ago
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆96Updated 9 months ago
- EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling☆65Updated 2 months ago
- A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).☆46Updated last year
- Graph Positional and Structural Encoder☆53Updated 7 months ago
- Temporal Graph Benchmark project repo☆236Updated last month
- GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks☆159Updated 10 months ago
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆164Updated last year
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆227Updated last year
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆83Updated last year