Karami-m / HiGen_mainLinks
The code of the paper: M. Karami, “HiGen: Hierarchical Graph Generative Networks”, arXiv preprint arxiv:2305.19337
☆10Updated last year
Alternatives and similar repositories for HiGen_main
Users that are interested in HiGen_main are comparing it to the libraries listed below
Sorting:
- Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …☆28Updated 3 years ago
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆104Updated 2 years ago
- Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (I…☆186Updated 2 years ago
- Implementation for the paper: GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation☆31Updated 3 years ago
- Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023☆36Updated 2 years ago
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆127Updated 5 months ago
- Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling☆115Updated 2 years ago
- Graph Positional and Structural Encoder☆54Updated last year
- Edge-Augmented Graph Transformer☆80Updated last year
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆62Updated 3 years ago
- SignNet and BasisNet☆102Updated 2 years ago
- An implementation of the Autoregressive Diffusion Model for Graph Generation from [Kong et al. 2023]☆41Updated last year
- Official Pytorch implementation of NeuralWalker (ICLR 2025)☆38Updated 7 months ago
- Transformer-based Spectral Graph Neural Networks☆85Updated last year
- EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling☆67Updated 8 months ago
- Official Code Repository for the paper "Graph Generation with Diffusion Mixture" (ICML 2024).☆36Updated last year
- ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks(ICLR 2023)☆20Updated 2 years ago
- ☆32Updated 2 years ago
- Permutation-Invariant Autoregressive Diffusion (NeurIPS 2024)☆23Updated last year
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆169Updated last year
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆163Updated 2 years ago
- ☆155Updated 4 years ago
- Official implementation for 'Sparse denoising diffusion for large graph generation'☆73Updated 5 months ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆90Updated 2 years ago
- All graph/GNN papers accepted at NeurIPS 2024.☆85Updated last year
- Implementation of the Paper "Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning" by Robin Winter, Fran…☆45Updated 3 years ago
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆267Updated 4 years ago
- Gradient gating (ICLR 2023)☆55Updated 2 years ago
- Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation☆35Updated 2 years ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆72Updated last year