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.
☆144Updated 11 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:
- ☆86Updated 3 years ago
- Dynamic Graph Benchmark☆87Updated 2 years ago
- ☆144Updated 2 years ago
- Temporal Graph Benchmark project repo☆243Updated 3 months ago
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆82Updated 2 years ago
- A list for GNNs and related works.☆102Updated last month
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆54Updated 3 years ago
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆104Updated 4 years ago
- Code for our paper "Attending to Graph Transformers"☆92Updated 2 years ago
- ☆78Updated 3 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆273Updated 2 years ago
- Subgraph Neural Networks (NeurIPS 2020)☆202Updated 4 years ago
- Parameterized Explainer for Graph Neural Network☆141Updated last year
- ☆156Updated 4 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆195Updated last year
- Source code for the paper UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks (IJCAI 2021).☆71Updated 4 years ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆117Updated 9 months ago
- Collection of papers relating data-driven higher-order graph/networks researches.☆73Updated 3 years ago
- Generating PGM Explanation for GNN predictions☆75Updated 2 years ago
- ☆139Updated 2 years ago
- MagNet graph convolutional network☆41Updated 2 years ago
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆167Updated last year
- Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch☆62Updated 5 years ago
- here you can find the material used for our Tutorials☆102Updated 3 years ago
- ☆19Updated 2 years ago
- Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification☆112Updated 5 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆163Updated 2 years ago
- An VGAE implementation using pytorch geometric.☆49Updated 5 years ago
- Representation learning on dynamic graphs using self-attention networks☆306Updated 2 years ago
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆49Updated last year