radoslav11 / SP-MPNN
Implementation of the SPN model and the experiments from the LoG 2022 paper "Shortest Path Networks for Graph Property Prediction".
☆24Updated 2 years ago
Alternatives and similar repositories for SP-MPNN:
Users that are interested in SP-MPNN are comparing it to the libraries listed below
- Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021☆40Updated 3 years ago
- Gradient gating (ICLR 2023)☆53Updated last year
- ☆57Updated 3 years ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆50Updated last year
- ☆18Updated last year
- Official implementation of the ICML 2022 paper "Going Deeper into Permutation-Sensitive Graph Neural Networks"☆27Updated 2 years ago
- A library for subgraph GNN based on pyg☆41Updated 3 months ago
- ☆21Updated 11 months ago
- ☆27Updated 3 years ago
- ☆42Updated 7 months ago
- ☆30Updated last year
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆37Updated 2 years ago
- ☆38Updated last year
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 3 years ago
- Code for "Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs" (NeurIPS 2020)☆18Updated 4 years ago
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆22Updated 3 years ago
- Code for our paper "Attending to Graph Transformers"☆85Updated last year
- Graph Structured Neural Network☆39Updated 2 years ago
- A Note On Over-Smoothing for Graph Neural Network☆20Updated 4 years ago
- Official implementation of MAG-GNN: an RL-boosted graph learning framework.☆17Updated last year
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Updated 3 years ago
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆55Updated 2 years ago
- [VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.☆19Updated 2 years ago
- Graph Positional and Structural Encoder☆46Updated 2 months ago
- ☆20Updated 9 months ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆68Updated 11 months ago
- [VLDB'23] SUREL+ is a novel set-based computation framework for scalable subgraph-based graph representation learning.☆17Updated last year
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆87Updated 3 years ago
- List of papers on ICML2023.☆55Updated last year
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆43Updated 11 months ago