A linear algorithm for embedding planar graphs using PQ-trees
Journal of Computer and System Sciences
On embedding a graph in the grid with the minimum number of bends
SIAM Journal on Computing
Randomized graph drawing with heavy-duty preprocessing
AVI '94 Proceedings of the workshop on Advanced visual interfaces
SIAM Journal on Computing
An experimental comparison of four graph drawing algorithms
Computational Geometry: Theory and Applications
Crossing Numbers of Graphs, Lower Bound Techniques
GD '94 Proceedings of the DIMACS International Workshop on Graph Drawing
On the Compuational Complexity of Upward and Rectilinear Planarity Testing
GD '94 Proceedings of the DIMACS International Workshop on Graph Drawing
A note on computing a maximal planar subgraph using PQ-trees
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Graph Drawing Algorithm Engineering with AGD
Revised Lectures on Software Visualization, International Seminar
A Linear Time Implementation of SPQR-Trees
GD '00 Proceedings of the 8th International Symposium on Graph Drawing
A new approach for visualizing UML class diagrams
Proceedings of the 2003 ACM symposium on Software visualization
Topology Preserving Constrained Graph Layout
Graph Drawing
Integrating edge routing into force-directed layout
GD'06 Proceedings of the 14th international conference on Graph drawing
On the crossing number of almost planar graphs
GD'06 Proceedings of the 14th international conference on Graph drawing
The SPQR-tree data structure in graph drawing
ICALP'03 Proceedings of the 30th international conference on Automata, languages and programming
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Computing a crossing minimum drawing of a given planar graph G augmented by an additional edge e in which all crossings involve e, has been a long standing open problem in graph drawing. Alternatively, the problem can be stated as finding a planar combinatorial embedding of a planar graph G in which the given edge e can be inserted with the minimum number of crossings. Many problems concerned with the optimization over the set of all combinatorial embeddings of a planar graph turned out to be NP-hard. Surprisingly, we found a conceptually simple linear time algorithm based on SPQR trees, which is able to find a crossing minimum solution.