jiaqingxie / Theories-of-Graph-Neural-NetworksLinks
A List of Papers on Theoretical Foundations of Graph Neural Networks
☆36Updated 4 months ago
Alternatives and similar repositories for Theories-of-Graph-Neural-Networks
Users that are interested in Theories-of-Graph-Neural-Networks are comparing it to the libraries listed below
Sorting:
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆127Updated 8 months ago
- List of papers on NeurIPS2023☆89Updated last year
- ☆31Updated last year
- List of papers on ICML2023.☆55Updated last year
- [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)☆14Updated last year
- All graph/GNN papers accepted at NeurIPS 2024.☆82Updated 8 months ago
- Code for our paper "Attending to Graph Transformers"☆89Updated last year
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆95Updated 8 months ago
- This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.☆43Updated 4 months ago
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆81Updated 2 years ago
- Rex Ying's Ph.D. Thesis, Stanford University☆41Updated 3 years ago
- EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling☆63Updated 2 months ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆82Updated last year
- ☆213Updated 2 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆157Updated last year
- A library for subgraph GNN based on pyg☆41Updated 8 months ago
- ☆89Updated last year
- ☆40Updated 3 years ago
- A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)☆126Updated last year
- ☆21Updated 2 years ago
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆96Updated last year
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆163Updated last year
- ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks(ICLR 2023)☆20Updated last year
- ☆345Updated 7 months ago
- Graph Positional and Structural Encoder☆52Updated 6 months ago
- Transformer-based Spectral Graph Neural Networks☆86Updated 10 months ago
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆103Updated 2 years ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆70Updated last year
- All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.☆215Updated 8 months ago
- [TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?☆62Updated 3 months ago