BorgwardtLab / NeuralWalker
Official Pytorch implementation of NeuralWalker
☆29Updated 9 months ago
Alternatives and similar repositories for NeuralWalker:
Users that are interested in NeuralWalker are comparing it to the libraries listed below
- [ICML 2024] Recurrent Distance Filtering for Graph Representation Learning☆14Updated 9 months ago
- ☆30Updated last year
- [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch☆30Updated last year
- Graph Positional and Structural Encoder☆46Updated 2 months ago
- Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …☆26Updated 2 years ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆45Updated 7 months ago
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆104Updated last year
- Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023☆37Updated last year
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆76Updated last year
- Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).☆78Updated 8 months ago
- Rex Ying's Ph.D. Thesis, Stanford University☆43Updated 2 years ago
- [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.☆23Updated last year
- ☆21Updated last year
- Edge-Augmented Graph Transformer☆76Updated last year
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆118Updated 3 months ago
- [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)☆11Updated 9 months ago
- Code for our paper "Attending to Graph Transformers"☆85Updated last year
- EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling☆55Updated last year
- Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products (ICML 2024)☆9Updated 8 months ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆88Updated 10 months ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆157Updated last year
- A library for subgraph GNN based on pyg☆41Updated 4 months ago
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆94Updated last year
- Transformer-based Spectral Graph Neural Networks☆79Updated 5 months ago
- This repository is the official implementation of "Hyperbolic Geometric Latent Diffusion Model for Graph Generation (HypDiff)" accepted b…☆22Updated 5 months ago
- Official implementation for 'Sparse denoising diffusion for large graph generation'☆57Updated 10 months ago
- Code for IJCAI'24 paper: Gradformer: Graph Transformer with Exponential Decay☆43Updated 3 months ago
- PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))☆16Updated 8 months ago
- Pytorch implementation for ICLR24:"Online GNN Evaluation Under Test-Time Graph Distribution Shifts"☆15Updated last year
- ☆115Updated last year