172 Open source projects that are alternatives of or similar to GNNLens2

Papers about explainability of GNNs

Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)

Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

Adaptive, interpretable wavelets across domains (NeurIPS 2021)

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

Fit interpretable models. Explain blackbox machine learning.

links to conference publications in graph-based deep learning

This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.

Inductive relation prediction by subgraph reasoning, ICML'20

The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".

Code and resources on scalable and efficient Graph Neural Networks

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

Data generator for Arena - interactive XAI dashboard

An index of recommendation algorithms that are based on Graph Neural Networks.

Subgraph Neural Networks (NeurIPS 2020)

Implementation of Directional Graph Networks in PyTorch and DGL

Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI

GraphiPy: Universal Social Data Extractor

Grakn Workbase (Knowledge IDE)

Vue 2 integration with https://github.com/visjs/vis-network/

Demo application for GRADOOP operators

Disentagnled Graph Collaborative Filtering, SIGIR2020

A vendor-agnostic NMS for carrier-grade network simulation and automation

Graph visualization for Julia.

🔮 Graph Layout Algorithms in Go

Neo4j graph visualization using D3.js

📊 Android library for plotting and editing graphs 📈

Immersive Graph Visualization

Experiments with Neo4j & 3d-force-graph https://github.com/vasturiano/3d-force-graph

A graph management and analysis platform that provides features: graph data load, schema management, graph relationship analysis and graphical display, and more.

🌠 An interactive network analysis & visualization tool

Network Analysis in Python

The complete graph data science platform

Essential NLP & ML, short & fast pure Python code

visualization and sample code from Java Universal Network Graph ported to use JGraphT models and algorithms

The Graph Theory Software

NoFlo visualization tools for GraphViz

Machine Learning in one line of code

multigraph: Plot and Manipulate Multigraphs in R

Grammar of Graph Graphics

Layout algorithms for graphs and trees in pure Julia.

Force-directed graph layout with Fruchterman-Reingold

Collection of NLP model explanations and accompanying analysis tools

odr.chalmers.se/handle/20.500.12380/256629?locale=en

Graph visualization of big messy data

A curated list of awesome machine learning interpretability resources.

Neo4j + vis.js = neovis.js. Graph visualizations in the browser with data from Neo4j.

Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/

FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)

MindsDB server allows you to consume and expose MindsDB workflows, through http.

C++14 network/graph visualization library / Qt node editor.

Fast approximate Shapley values in R

Python interface to Graphviz graph drawing package

Model verification, validation, and error analysis

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020

A React toolkit for graph visualization based on G6

Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.

A tool to create animated graph visualizations, based on graphviz.

Official Implementation of Remembering for the Right Reasons (ICLR 2021)