radoslav11 / SP-MPNN
Implementation of the SPN model and the experiments from the LoG 2022 paper "Shortest Path Networks for Graph Property Prediction".
☆22Updated last year
Related projects ⓘ
Alternatives and complementary repositories for SP-MPNN
- Code for "Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs" (NeurIPS 2020)☆18Updated 3 years ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆47Updated last year
- Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021☆40Updated 3 years ago
- Official implementation of the ICML 2022 paper "Going Deeper into Permutation-Sensitive Graph Neural Networks"☆25Updated 2 years ago
- Gradient gating (ICLR 2023)☆52Updated last year
- ☆40Updated 3 months ago
- [VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.☆19Updated last year
- Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction☆37Updated 2 years ago
- A library for subgraph GNN based on pyg☆39Updated 5 months ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆38Updated 3 months ago
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆54Updated 2 years ago
- ☆26Updated 3 years ago
- ☆13Updated 3 years ago
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆53Updated last year
- ☆54Updated 3 years ago
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆47Updated 2 years ago
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆55Updated last year
- Code for our paper "Attending to Graph Transformers"☆80Updated last year
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆54Updated last year
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆22Updated 2 years ago
- This repo contains a reference implementation for the paper "Breaking the Limit of Graph Neural Networks by Improving the Assortativity o…☆32Updated 2 years ago
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆36Updated last year
- Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"☆17Updated 2 years ago
- A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …☆29Updated 2 years ago
- ☆21Updated 2 years ago
- Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.☆39Updated 4 years ago
- ☆17Updated 5 months ago
- Lifelong Learning of Graph Neural Networks for Open-World Node Classification☆28Updated last year
- Graph Structured Neural Network☆38Updated 2 years ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆86Updated 3 years ago