fredjo89 / heterogeneous-mpnn
Implementation of a heterogeneous version of the GNN method MPNN with running code to try it out.
☆13Updated 10 months ago
Alternatives and similar repositories for heterogeneous-mpnn:
Users that are interested in heterogeneous-mpnn are comparing it to the libraries listed below
- ETNgen: A temporal graph generator based on Egocentric Temporal Motifs☆13Updated last year
- DYnamic MOtif-NoDes (DYMOND) is a dynamic network generative model based on temporal motifs and node behavior.☆14Updated last year
- ☆18Updated 2 years ago
- Dynamic Graph Benchmark☆73Updated 2 years ago
- A package for clustering of Signed Networks☆34Updated 3 years ago
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆43Updated 10 months ago
- An Empirical Evaluation of Temporal Graph Benchmark☆31Updated last year
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆41Updated 3 months ago
- Interaction-Focused Anomaly Detection on Bipartite Node-and-Edge-Attributed Graphs☆13Updated last year
- Official Repository of Adaptive Message Passing☆16Updated last week
- Materials for SDM 2023 tutorial: Augmentation Methods for Graph Learning☆21Updated last year
- ☆77Updated 2 years ago
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆55Updated 2 years ago
- Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"☆35Updated last year
- ☆25Updated 2 years ago
- This repository includes the implementation of CAGCN and the experiments on link prediction/node classification☆52Updated last year
- ☆79Updated 2 years ago
- ☆39Updated 2 months ago
- Code for paper https://arxiv.org/abs/2102.13186☆44Updated 3 years ago
- This repository contains the code used in the experimental setup of the paper 'Inductive Graph Representation Learning for Fraud Detectio…☆33Updated last year
- A curated list of publications and code about data augmentaion for graphs.☆63Updated 2 years ago
- Explanation method for Graph Neural Networks (GNNs)☆63Updated 3 years ago
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆63Updated 4 months ago
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆133Updated last week
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆79Updated last year
- Egocentric Temporal Motifs Miner☆12Updated 3 years ago
- ☆19Updated 4 years ago
- ICDE2023-CLDG: Contrastive Learning on Dynamic Graphs☆25Updated 2 months ago
- PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)☆81Updated last year