A graph is a data structure consisting of nodes and edges between these nodes. Graph embedding is to generate a low dimensional vector for a given graph that best represents the characteristics of the graph. Recently, there have been studies on graph embedding, especially using...
Graph is a ubiquitous data structure in data science that is widely applied in social networks, knowledge representation graphs, recommendation systems, etc. When given a graph dataset consisting of one graph or more graphs, where the graphs are weighted in general, the first step is often to ...
This is An implementation ofweighted directed graphdata structure written in Object-C. It usesDijkstra’s algorithmto find the shortest path between a source node and target node. Note¶↑ The code is pretty well tested. Currently all tests pass, but it is not yet battle tested, and it ...
(log n) time The key of a vertex in the priority queue is modified at most deg(w) times, where each key change takes O(log n) time Dijkstra’s algorithm runs in O((n + m) log n) time provided the graph is represented by the adjacency list structure Recall that Sv deg(v) = ...
Graph clustering is an important issue for several applications associated with data analysis in graphs. However, the discovery of groups of highly connected nodes that can represent clusters is not an easy task. Many assumptions like the number of clusters and if the clusters are or not balanced...
The increasing interest in filter pruning of convolutional neural networks stems from its inherent ability to effectively compress and accelerate these networks. Currently, filter pruning is mainly divided into two schools: norm-based and relation-based. These methods aim to selectively remove the least...
For chemical databases, different consensus clustering methods have been used including the co-association matrix-based, graph-based, hypergraph-based and voting-based methods. In this paper, a weighted cumulative voting-based aggregation algorithm (W-CVAA) was developed. The MDL Drug Data Report (...
Real-Time Path Planning in Dynamic Virtual Environments Using Multiagent Navigation Graphs We introduce a new data structure, Multi-agent Navigation Graph (MaNG), which is constructed using first- and second-order Voronoi diagrams. The MaNG is... A Sud,E Andersen,S Curtis,... - 《IEEE Transa...
Voroprot: an interactive tool for the analysis and visualization of complex geometric features of protein structure. Voroprot allows the construction and visualization of the Apollonius diagram (also known as the additively weighted Voronoi diagram), the Apollonius graph, ... O Kliment,M Mindaugas,V...
organized output with proper logging. The framework also supports execution of individual scripts. A pipeline is a directed acyclic graph (DAG) of dependencies. The following diagram depicts functionality of thestd(standard) pipeline where each node represents an output, and the arrows represent ...