# Web of Scholars: A Scholar Knowledge Graph

arXiv: https://arxiv.org/abs/2202.11311 · HTML: https://mlsanity.com/paper/2202.11311/

## Key facts

- Cited by 6 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 2 references that are in the map.
- First posted on arXiv 23 Feb 2022.

## Builds on (most cited first, 1 of 1)

- [Shifu2: A Network Representation Learning Based Model for Advisor-advisee Relationship Mining](https://mlsanity.com/paper/2008.07097/) (2020)

## Built on by (most cited first, 6 of 6)

- [Knowledge Graphs: Opportunities and Challenges](https://mlsanity.com/paper/2303.13948/) (2023)
- [Graph Augmentation Learning](https://mlsanity.com/paper/2203.09020/) (2022)
- [Network Topology Inference from Smooth Signals Under Partial Observability](https://mlsanity.com/paper/2410.05707/) (2024)
- [Assisted Knowledge Graph Authoring: Human-Supervised Knowledge Graph Construction from Natural Language](https://mlsanity.com/paper/2401.07683/) (2024)
- [Spiking Graph Predictive Coding for Reliable OOD Generalization](https://mlsanity.com/paper/2602.19392/) (2026)
- [Detecting Miscitation on the Scholarly Web through LLM-Augmented Text-Rich Graph Learning](https://mlsanity.com/paper/2603.12290/) (2026)

## Abstract (arXiv)

In this work, we demonstrate a novel system, namely Web of Scholars, which integrates state-of-the-art mining techniques to search, mine, and visualize complex networks behind scholars in the field of Computer Science. Relying on the knowledge graph, it provides services for fast, accurate, and intelligent semantic querying as well as powerful recommendations. In addition, in order to realize information sharing, it provides an open API to be served as the underlying architecture for advanced functions. Web of Scholars takes advantage of knowledge graph, which means that it will be able to access more knowledge if more search exist. It can be served as a useful and interoperable tool for scholars to conduct in-depth analysis within Science of Science.