SherylHYX / pytorch_geometric_signed_directedLinks
PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.
☆142Updated 5 months ago
Alternatives and similar repositories for pytorch_geometric_signed_directed
Users that are interested in pytorch_geometric_signed_directed are comparing it to the libraries listed below
Sorting:
- ☆83Updated 3 years ago
- Temporal Graph Benchmark project repo☆232Updated last week
- Dynamic Graph Benchmark☆82Updated 2 years ago
- ☆136Updated last year
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆81Updated 2 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆273Updated 2 years ago
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆102Updated 4 years ago
- ☆75Updated 2 years ago
- Source code for the paper UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks (IJCAI 2021).☆69Updated 4 years ago
- ☆19Updated 2 years ago
- A list for GNNs and related works.☆96Updated last month
- AAAI'21: Data Augmentation for Graph Neural Networks☆193Updated last year
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆54Updated 2 years ago
- Code for our paper "Attending to Graph Transformers"☆89Updated last year
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆124Updated 3 years ago
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆163Updated last year
- MagNet graph convolutional network☆40Updated last year
- Parameterized Explainer for Graph Neural Network☆137Updated last year
- Wasserstein Weisfeiler-Lehman Graph Kernels☆83Updated 11 months ago
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆96Updated last year
- ☆155Updated 3 years ago
- [NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architec…☆135Updated 3 years ago
- Collection of papers relating data-driven higher-order graph/networks researches.☆71Updated 2 years ago
- A curated list of graph data augmentation papers.☆312Updated last year
- ☆135Updated 2 years ago
- ☆138Updated 4 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆300Updated 2 years ago
- ☆212Updated last year
- Generating PGM Explanation for GNN predictions☆75Updated 2 years ago
- Subgraph Neural Networks (NeurIPS 2020)☆198Updated 4 years ago