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awesome-explainable-graph-reasoning

A collection of research papers and software related to explainability in graph machine learning.

deeptopologyclassification

The code and datasets for the IEEE Big Data 2016 paper entitled - " Deep Topology Classification: A New Approach for Massive Graph Classification"

dotfiles

Config files for my Arch i3-gaps + Polybar setup

dynamicgem

esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

gae_in_pytorch

Graph Auto-Encoder in PyTorch

gfpx-graphsimilarity

The code for measuring the similarity of graphs using Apache Spark and GraphX

graphfingerprintcomparison

A repository for the graph finger print comparison code, written in python and graph-tool.

nbfnet

Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)

nbfnet-pyg

PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)

pykeen

🤖 A Python library for learning and evaluating knowledge graph embeddings

pytorch-apex-experiment

Simple experiment of Apex (A PyTorch Extension)

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

rexmex

A general purpose recommender metrics library for fair evaluation.

rnnlogic

sbonner0

semnetcon

Semantic Enabled Python Tool For The Construction Of Complex Networks From Disperse Data Sources (SemNetCon)

skywalkr

code for Gogleva et al manuscript

temporal-neighbourhood-aggregation

Code for the Big Data 2019 Paper - Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions

temporal-offset-reconstruction

Code the Big Data 2018 Paper: Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning

unsupervised-graph-embedding

Code for both the IEEE Big Data 2017 Paper: Evaluating the quality of graph embeddings via topological feature reconstruction and the Springer Data Science and Engineering paper: Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study