PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.
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Updated
Jul 27, 2024 - Python
PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.
The code repository for Discovering Conflicting Groups in Signed Networks (NeurIPS 2020)
Official code for the LoG2022 paper -- MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian.
Python Implementation for Signed Random Walk with Restart (SRWR)
Social trust Network Embedding (ICDM 2019)
A set of utilities built on top of networkx for working with signed networks
Link Prediction with Signed Latent Factors in Signed Social Networks (KDD 2019)
Dynamics in signed social networks
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