302 Open source projects that are alternatives of or similar to GraphLIME

Papers about explainability of GNNs

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks

A reading list for deep graph learning acceleration.

AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

Implementation of the paper "Shapley Explanation Networks"

Variants of Vision Transformer and its downstream tasks

Locally Private Graph Neural Networks (ACM CCS 2021)

No description or website provided.

Overview and implementation of Belief Propagation and Loopy Belief Propagation algorithms: sum-product, max-product, max-sum

Probabilistic Type Inference using Graph Neural Networks

Data Structure and Algorithm explanations with Implementations by Javascript

Applications using Parallel Graph AnalytiX (PGX) from Oracle Labs

Team reference for Competitive Programming. Algorithms implementations very used in the ACM-ICPC contests. Latex template to build your own team reference.

A curated list of awesome graph & self-supervised-learning-based recommendation.

Everything you need to know about graph theory to ace a technical interview 🔥

A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.

A Solver for the Wavelength Assignment Problem (RWA) in WDM networks

Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)

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

Graph-based machine learning for chemical property prediction

A spherical CNN for weather forecasting

[ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

Reimplementation of Graph Embedding methods by Pytorch.

PositionRank: An Unsupervised Approach to Keyphrase Extraction from Scholarly Documents

Explains machine learning models fast using the Anchor algorithm originally proposed by marcotcr in 2018

fCoSE: a fast Compound Spring Embedder

The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021

Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.

Message Passing Neural Networks for Simplicial and Cell Complexes

ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021

Library for functional graph & geometry algorithms

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

Keras implementation of Neural Graph Fingerprints as proposed by Duvenaud et al., 2015

MAGE - Memgraph Advanced Graph Extensions 🔮

🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba 来自阿里巴巴的一站式大规模图计算系统 图分析 图查询 图机器学习

In-memory Graph Database and Knowledge Graph with Natural Language Interface, compatible with Pandas

Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584

Bitcoin blockchain parser for Python 2 and 3. Includes handy examples.

Collection of abstract data structures implemented in Java

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

Tutorials for Machine Learning on Graphs

Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning

The Tektosyne Library for Java provides algorithms for computational geometry and graph-based pathfinding, along with supporting mathematical utilities and specialized collections.

An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.

A library to learn Algorithms and Data Structures for newbies

[ACL 2021] KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction

An easy to use GraphQL API to query country-related data for free and without restrictions

Representation Learning on Graphs with Jumping Knowledge Networks

A fast Tsetlin Machine implementation employing bit-wise operators, with MNIST demo.

Representing Long-Range Context for Graph Neural Networks with Global Attention

The Repository is All about the Graph Algorithms. I am Still Working On it. I am trying to Note down all the variations of Popular graph Algorithms. I am also keeping the solution to the problems of Different Online Judges according to the topic. I hope you can find it useful.

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

AAAI'21: Data Augmentation for Graph Neural Networks

No description or website provided.

Geometric Deep Learning for Flux

A Chemical Knowledge Graph of What is Common in the World.

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

Awesome Graph Self-Supervised Learning

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

A Julia/JuMP Package for Maximizing Algebraic Connectivity of Undirected Weighted Graphs