An Optimal Multiple-Class Encoding Scheme for a Graph of Bounded Hadwiger Number
Hsueh-I Lu

TL;DR
This paper introduces an optimal encoding scheme for graphs with bounded Hadwiger number, leveraging multiple classes to achieve efficient, succinct representations supporting various queries in constant time.
Contribution
It presents the first F-opt encoding scheme for an infinite family of classes, including all graphs with bounded Hadwiger number, supporting multiple fundamental queries efficiently.
Findings
Supports degree, adjacency, neighbor-listing, and shortest path queries in O(1) time.
Extends encoding schemes to broader graph classes beyond trees and general graphs.
Achieves near-optimal encoding size with efficient query support for complex graph families.
Abstract
Since Jacobson [FOCS89] initiated the investigation of succinct graph encodings 35 years ago, there has been a long list of results on balancing the generality of the class, the speed, the succinctness of the encoding, and the query support. Let Cn denote the set consisting of the graphs in a class C that with at most n vertices. A class C is nontrivial if the information-theoretically min number log |Cn| of bits to distinguish the members of Cn is Omega(n). An encoding scheme based upon a single class C is C-opt if it takes a graph G of Cn and produces in deterministic O(n) time an encoded string of at most log |Cn| + o(log |Cn|) bits from which G can be recovered in O(n) time. Despite the extensive efforts in the literature, trees and general graphs were the only nontrivial classes C admitting C-opt encoding schemes that support the degree query in O(1) time. Basing an encoding…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Algorithms and Data Compression · Limits and Structures in Graph Theory
