In mathematics, a biased graph is a graph with a list of distinguished circles (edge sets of simple cycles), such that if two circles in the list are...

In the area of graph theory in mathematics, a signed graph is a graph in which each edge has a positive or negative sign. A signed graph is balanced if...

all graph coverings by permutation voltage assignments. Discrete Mathematics, Vol. 18, pp. 273–283. Thomas Zaslavsky (1989), Biased graphs. I. Bias, balance...

matroids have been generalized to matroids from signed graphs, gain graphs, and biased graphs. A graph G {\displaystyle G} with a distinguished linear class...

In network science, a biased random walk on a graph is a time path process in which an evolving variable jumps from its current state to one of various...

The Google Knowledge Graph is a knowledge base from which Google serves relevant information in an infobox beside its search results. This allows the...

of the frame matroid of a biased graph. The circuits, or minimal dependent sets, of this matroid are the bicircular graphs (or bicycles, but that term...

Graph neural networks (GNN) are specialized artificial neural networks that are designed for tasks whose inputs are graphs. One prominent example is molecular...

plot is a graphical technique for representing a data set, usually as a graph showing the relationship between two or more variables. The plot can be...

explanation a graph needs, the less the graph itself is needed. Graphs do not always convey information better than tables. The use of biased or loaded words...

problem in continuous space. Shrinking bias: Since graph cuts finds a minimum cut, the algorithm can be biased toward producing a small contour. For example...

between bias and variance. Imagine that we have available several different, but equally good, training data sets. A learning algorithm is biased for a...

algorithms have biases of various sorts: depth-first search is biased toward long corridors, while Kruskal's/Prim's algorithms are biased toward many short...

improvement to Chaitin's works which is biased coloring. Biased coloring tries to assign the same color in the graph-coloring to live range that are copy...

08.006. PMID 37659920. https://transformer-circuits.pub/2025/attribution-graphs/biology.html#dives-poems%7Ctitle=On the Biology of a Large Language Model...

with different numbers of levels, information gain in decision trees is biased in favor of those attributes with more levels. Calculations can get very...

friends lead to a smaller bias and a smaller variance compared to classical approach based on uniform sampling. Random graph – Graph generated by a random...

In the terminology of causal graphs, conditioning on the collider opens the path between X and Y. This will introduce bias when estimating the causal association...

provides non-biased regression estimates, the lower variance solutions produced by regularization techniques provide superior MSE performance. The bias–variance...

also be considered as a Monte-Carlo method to bias search into the largest Voronoi regions of a graph in a configuration space. Some variations can even...

A funnel plot is a graph designed to check for the existence of publication bias; funnel plots are commonly used in systematic reviews and meta-analyses...

{\displaystyle \theta } the bias of θ ^ {\displaystyle {\widehat {\theta }}} is b {\displaystyle b} . There are two kinds of estimators: biased estimators and unbiased...

sample of graph nodes. However, incomplete DFS, similarly to incomplete BFS, is biased towards nodes of high degree. For the following graph: a depth-first...

Implementations of neuro-symbolic approaches include: AllegroGraph: an integrated Knowledge Graph based platform for neuro-symbolic application development...

ideologically biased. In February 2021, Fox News accused Wikipedia of whitewashing communism and socialism and having too much "leftist bias". Wikipedia...

The usual leftist tree is a height-biased leftist tree. However, other biases can exist, such as in the weight-biased leftist tree. The exact worst-case...

words. In 2012, Google introduced a semantic search feature named Knowledge Graph. Analysis of the frequency of search terms may indicate economic, social...

Pan-genome graph construction is the process of creating a graph-based representation of the collective genome (the pan-genome) of a species or a group...

was "perfect", with fewer than three errors per ballot box and no systemic bias. (This is the message that most of the press reported, although others reported...

(December 2015). "GC-biased gene conversion links the recombination landscape and demography to genomic base composition: GC-biased gene conversion drives...