mlsanityData to 7 Oct 2026

PyTorch Geometric High Order: A Unified Library for High Order Graph Neural Network

arXiv 2311.16670 ↗First posted 28 Nov 2023cs.LGcited by 4

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Abstract (arXiv)

We introduce PyTorch Geometric High Order (PyGHO), a library for High Order Graph Neural Networks (HOGNNs) that extends PyTorch Geometric (PyG). Unlike ordinary Message Passing Neural Networks (MPNNs) that exchange messages between nodes, HOGNNs, encompassing subgraph GNNs and k-WL GNNs, encode node tuples, a method previously lacking a standardized framework and often requiring complex coding. PyGHO's main objective is to provide an unified and user-friendly interface for various HOGNNs. It accomplishes this through streamlined data structures for node tuples, comprehensive data processing utilities, and a flexible suite of operators for high-order GNN methodologies. In this work, we present a detailed in-depth of PyGHO and compare HOGNNs implemented with PyGHO with their official implementation on real-world tasks. PyGHO achieves up to 50% acceleration and reduces the code needed for implementation by an order of magnitude. Our library is available at urlhttps://github.com/GraphPKU/PygHO.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 23 of its 28 references that are in the map. First posted on arXiv 28 Nov 2023.

Builds on

23 of 28 references.

References · 23

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11 more
  1. 2022Graph neural networks for materials science and chemistrycited by 181
  2. 2021Equivariant Subgraph Aggregation Networkscited by 154
  3. 2021From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awarenesscited by 154
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Cited by year

Citing papers per year: 2024: 3; 2025: 1.

4 papers.

  1. 2024Future Directions in the Theory of Graph Machine Learningcited by 5
  2. 2024Demystifying Higher-Order Graph Neural Networkscited by 4
  3. 2024Towards Stable, Globally Expressive Graph Representations with Laplacian Eigenvectorscited by 2
  4. 2025Using Random Noise Equivariantly to Boost Graph Neural Networks Universallycited by 2