Essays about: "graf"
Showing result 6 - 10 of 146 essays containing the word graf.
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6. Distance Consistent Labellings and the Local List Number
University essay from Linköpings universitet/Algebra, geometri och diskret matematik; Linköpings universitet/Tekniska fakultetenAbstract : We study the local list number of graphs introduced by Lennerstad and Eriksson. A labelling of a graph on n vertices is a bijection from vertex set to the set {1,…, n}. Given such a labelling c a vertex u is distance consistent if for all vertices v and w |c(u)-c(v)|=|c(u)-c(w)|+1 implies d(u,w)≤ d(u,v). READ MORE
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7. The cosmological polytope of the complete bipartite graph K_{2,n}
University essay from KTH/Matematik (Avd.)Abstract : A cosmological polytope of an undirected connected graph is a lattice polytope which when the graph is interpreted as a feynman diagram can be used to calculate the contribution of that feynman diagram to the wavefunction of some cosmological models. This contribution can be calculated using the canonical form of the cosmological polytope, which can be computed by taking the sum of the canonical forms of the facets of a subdivision of the cosmological polytope. READ MORE
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8. Coral Reef Restoration Enterprises
University essay from Lunds universitet/Internationella miljöinstitutetAbstract : Coral reefs are essential for providing ecosystem services to humans, including coastal protection, nutrition, and income opportunities for coastal communities. However, coral reefs worldwide have suffered severe damage due to anthropogenic factors, leading to their rapid degradation. READ MORE
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9. An experimental analysis of Link Prediction methods over Microservices Knowledge Graphs
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Graphs are a powerful way to represent data. They can be seen as a collection of objects (nodes) and the relationships between them (edges or links). The power of this structure has its intrinsic value in the relationship between data points that can even provide more information than the data properties. READ MORE
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10. Link Prediction Using Learnable Topology Augmentation
University essay from KTH/Matematik (Avd.)Abstract : Link prediction is a crucial task in many downstream applications of graph machine learning. Graph Neural Networks (GNNs) are a prominent approach for transductive link prediction, where the aim is to predict missing links or connections only within the existing nodes of a given graph. READ MORE