SciGraph

SciGraph: Powering AI4S with LLM × KG

SciGraph enables researchers to manage, analyze, and utilize massive scientific knowledge more effectively, and orchestrated with LLMs, further accelerates scientific discovery.

ElementKG 1.0

ElementKG 1.0：化学元素知识图谱

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SciGraph statistical information

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Triple

Introduction

SciGraph is a multidisciplinary scientific knowledge graph led by the Zhejiang University team. It spans fields such as general science, mathematics, physics, chemistry, materials science, life sciences, and immunology, and supports scientific discovery research across diverse domains.

Multidisciplinary

encompassing general domains, mathematics and physics, biochemistry, materials science, life sciences, immunology, and other fields.

Large-scale

SciGraph contains hundreds of millions of triples and is the largest open-source scientific knowledge graph.

Diverse applications

SciGraph has already been applied in domains such as biochemistry and has over 100 application cases.

SubKGs

ElementKG is a knowledge graph centered on chemical elements, designed to summarize fundamental chemical knowledge and cover elements as well as their closely related functional groups.

ElementKG

ElementKG 2.0 is a chemistry knowledge graph that spans the entire chain from “elements–functional groups–molecules–reactions–experiments,” aiming to model the full lifecycle of chemical reactions.

ElementKG 2.0

ProteinKG65 is a large-scale knowledge graph dataset for protein science. It aligns protein sequences with functional and ontological knowledge (from Gene Ontology, GO) and is compatible with structured……

ProteinKG65

Amino Acid Knowledge Graph (AAKG) is a domain-specific knowledge graph that systematically represents the biochemical properties of amino acids and their intrinsic relationships. By integrating a two-layer structure,

AAKG

PorousKG is a knowledge graph of porous materials centered on metal–organic frameworks (MOFs) and extended to covalent organic frameworks (COFs), hydrogen-bonded organic frameworks (HOFs),

PorousKG

MolSafeKG is a heterogeneous knowledge graph designed for molecular safety assessment. It integrates 83,925 hazardous molecules from authoritative sources such as ECHA and ChEMBL

MolSafeKG

OneGraph is a general-purpose knowledge graph constructed with the assistance of large language models. It spans common-sense concepts and relations across the humanities, engineering and technology,

OneGraph

TTG-Math is a structured knowledge graph designed for mathematical reasoning. It abstracts mathematical problems into general problem templates and solution templates, and explicitly links reasoning steps……

TTG-Math