krishnapraveen7
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GraphBased
Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own.
Awesome Procedures On Cypher for Neo4j - codenamed "apoc" If you like it, please ★ above ⇧
A scalable, distributed, collaborative, document-graph database, for the realtime web
A curated list of awesome knowledge graph tutorials, projects and communities.
A curated list of resources for graph databases and graph computing tools
A collection of research papers and software related to explainability in graph machine learning.
Source code for the Neo4j Graph Data Science library of graph algorithms.
A JavaScript library aimed at visualizing graphs of thousands of nodes and edges
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
Neo4j + vis.js = neovis.js. Graph visualizations in the browser with data from Neo4j.
Experiments with Neo4j & 3d-force-graph https://github.com/vasturiano/3d-force-graph
小型金融知识图谱构建流程（neo4j / python / cypher / KG）
Neo4j Spatial is a library of utilities for Neo4j that faciliates the enabling of spatial operations on data. In particular you can add spatial indexes to already located data, and perform spatial …
An implementation of the paper entitled as: Learning Joint Relational Co-evolution in Spatial-Temporal Knowledge Graph for SMEs Supply Chain Prediction
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
Must-read papers on graph neural networks (GNN)
Paper Lists for Graph Neural Networks
This repository contains queries and data from creating a dev.to/Wikidata Software Knowledge Graph using neosemantics and APOC NLP.
♾ A Graph Visualization Framework in JavaScript.
🌌 A React toolkit for graph visualization based on G6.
Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.
Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️♂️