On Construction and Identification of Graphs

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Contents

  1. On Construction and Identification of Graphs (Lecture Notes in Mathematics)
  2. A new paradigm of material identification based on graph theory

We identify and examine nine questions of conservation importance that can be answered with these types of graph models, discussing appropriate applications of these questions and presenting a guide for using graph methods to answer them.

On Construction and Identification of Graphs (Lecture Notes in Mathematics)

We also investigate how the connectivity predictions of patch-based graphs have been assessed and emphasize the importance of empirical evaluation. Our findings identify commonality among diverse approaches and methodological gaps with an aim to improve application and to help the integration of graph theory and ecological analysis. Read Article at publisher's site. How does Europe PMC derive its citations network?

A new paradigm of material identification based on graph theory

Protein Interactions. Protein Families.

5.2 Articulation Point and Biconnected Components

Nucleotide Sequences. Functional Genomics Experiments. Protein Structures.


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SCI-ERC extends previous datasets in scientific articles SemEval Task 10 and SemEval Task 7 by extending entity types, relation types, relation coverage, and adding cross-sentence relations using coreference links. An annotation example is as follows: Code Our method SciIE is an unified framework for identifying entities, relations, and coreference clusters in scientific articles with shared span representations. Check out our BitBucket Repository.


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Application for Knowledge Graph Construction With SciIE, we are able to extract entity, relation and coreference from large collection of scientific papers. We construct a scientific knowledge graph from a large corpus of scientific articles.


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The corpus includes all abstracts k in total from 12 AIconference proceedings from the Semantic Scholar Corpus. Nodes in the knowledge graph correspond to scientific entities. Edges correspond to scientific relations between pairs of entities.