Awesome-Graphs

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Think Graphs Like A Graph.

Introduction

Awesome-Graphs aims to collect papers and products related to graph computation systems and depict their derived relationships in a graph. It helps researchers and developers quickly familiarize themselves with the field of graph computation.

Quick Start

1. Directly visit our GitHub Pages.
2. Download and access index.html file in browser.

Features

• Includes existing graph system papers/products, depicting their citation relationships in a graph.
• Perform citation chain analysis by searching/clicking on graph computation system node and distinguish between direct, indirect, and bidirectional citation relationships.
• Support upstream and downstream tracing and view direct neighbors by right-click.
• View the original paper or product websites of graph computation systems.
• Includes some graph computation system products, all mounted to the root node Graph Database.

System List

All graph system papers/products are provided HERE.

Contributing

• The project only relies on the front-end component AntV/G6. To adjust the graph data, simply modify the definitions of nodes and edges in the index.html file.
• To add a new graph system paper node, for example, {id: 'Pregel'},.
  • Set _paper attribute as paper's title, for example, {id: 'GeaFlow', _paper: 'GeaFlow: A Graph Extended and Accelerated Dataflow System'},.
  • Set _website as relevant website, for example, {id: 'TuGraph', _website: 'https://tugraph.tech'},.
  • Set _type: 'db' indicates a product node, for example, {id: 'TuGraph', _type: 'db'},.
• To add citation of graph system papers/product, for example, {from: 'GeaFlow', to: 'TuGraph'},.
  • Set _bidirectional: true indicates bidirectional citation, for example, {from: 'GraphChi', to: 'PowerGraph', _bidirectional: true}, indicating GraphChi and PowerGraph cite each other (both presented at OSDI-2012).
• Add new paper to the path papers/<GraphSystemName>.pdf and update the reference links in docs/graph-system-list.md in alphabetical order.
• Due to manual organization, errors and omissions in the data are inevitable. Contributions for corrections and missing papers or product information are welcome.

Contact Us

Join the TuGraph community to discuss and improve Awesome-Graphs together!