subgraph23 / homomorphism-expressivityLinks
[ICLR 2024 Oral] Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness.
☆17Updated last year
Alternatives and similar repositories for homomorphism-expressivity
Users that are interested in homomorphism-expressivity 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 …☆26Updated 3 years ago
- [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.☆24Updated 2 years ago
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆105Updated 2 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆160Updated last year
- Graph Positional and Structural Encoder☆53Updated 9 months ago
- Rex Ying's Ph.D. Thesis, Stanford University☆41Updated 3 years ago
- [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch☆67Updated 2 years ago
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆61Updated 3 years ago
- ☆23Updated last year
- ☆42Updated 3 years ago
- Edge-Augmented Graph Transformer☆80Updated last year
- ☆31Updated last year
- [ICML 2024] Recurrent Distance Filtering for Graph Representation Learning☆15Updated last year
- This repository contains PyTorch implementation of the following paper: "Order Matters: Probabilistic Modeling of Node Sequence for Graph…☆29Updated 4 months ago
- DiffWire: Inductive Graph Rewiring via the Lovász Bound. In Proceedings of the First Learning on Graphs Conference. 2022. Adrian Arnaiz-R…☆19Updated 2 years ago
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆128Updated 2 months ago
- Gradient gating (ICLR 2023)☆55Updated 2 years ago
- [Preprint] Graph State Space Convolution (GSSC)☆13Updated last year
- Understanding and Extending Subgraph GNNs by Rethinking their Symmetries (NeurIPS 2022 Oral)☆41Updated 2 years ago
- Official Pytorch Implementation of GraphiT☆109Updated 4 years ago
- Official implementation of the ICML 2022 paper "Going Deeper into Permutation-Sensitive Graph Neural Networks"☆27Updated 3 years ago
- Code for "Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs" (NeurIPS 2020)☆18Updated 4 years ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆89Updated 2 years ago
- Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (I…☆177Updated last year
- Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering☆13Updated 2 years ago
- Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling☆112Updated 2 years ago
- Official repository for the paper "Partition and Code: learning how to compress graphs" (NeurIPS'21) https://arxiv.org/abs/2107.01952☆35Updated 4 years ago
- Random walk unit with memory☆23Updated last year
- A Note On Over-Smoothing for Graph Neural Network☆20Updated 5 years ago
- Code for reproducing experiments in "On the Ability of Graph Neural Networks to Model Interactions Between Vertices"☆25Updated 2 years ago