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E-graph

In computer science, an e-graph is a data structure that stores an equivalence relation over terms of some language.

Applications & Science

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Explore the main themes, entities and connections around E-graph. Start with the topic map, then use the sections below for research and deeper semantic analysis.

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Topics to explore

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Overview

Definition and operations

E-matching

Extraction

Equality saturation

  • AST Abstract syntax tree

Applications

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

E-graph

Nodes39
Edges38
Triples38
Avg. degree1.95
Density0.051282
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

E-graph

Top relations

has application · 10
E-graph → CVC4, E-graphs, Equality, ESC/Java, In DPLL, LLVM, Simplify, SMT, They, Z3
related to E-matching · 5
E-graph → An, In, Let, Sigma, Term
related to Definition and operations · 4
E-graph → IDs, Let, Sigma, The
related to Equality saturation · 4
E-graph → After, AST, Equality, It
related to Invariants · 4
E-graph → ID, In, The, Two
related to Equivalent formulations · 2
E-graph → An, IDs
related to Operations · 2
E-graph → E-graphs, The
is a · 1
E-graph → data structure that stores an equivalence relation over terms of some language
related to Complexity · 1
E-graph → An
related to External links · 1
E-graph → The Egg ProjectA Colab

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

displaystyle e-class mathrm set equality id ids e-nodes term e-matching sigma find e-graphs saturation doi ldots also isbn mathbb called

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
E-graphis adata structure that stores an equivalence relation over terms of some language0.90text
Z3instance ofThey are a crucial part of modern SMT solvers0.80text
CVC4instance ofThey are a crucial part of modern SMT solvers0.80text
where they are used to decide the empty theory by computing the congruence closure of a set of equalitiesinstance ofThey are a crucial part of modern SMT solvers0.80text
and e-matching is used to instantiate quantifiersinstance ofThey are a crucial part of modern SMT solvers0.80text
E-graphhas applicationE-graphs0.60section
E-graphhas applicationThey0.60section
E-graphhas applicationSMT0.60section
E-graphhas applicationZ30.60section
E-graphhas applicationCVC40.60section
E-graphhas applicationIn DPLL0.60section
E-graphhas applicationSimplify0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

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    Min side: 3
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