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cs.DS2026

Online Graph Coloring: Competitive Ratios Separating Randomized and Deterministic Algorithms

Ken-ichi Kawarabayashi, Hirotaka Yoneda, Masataka Yoneda

We study online coloring, focusing on the competitive ratio. The best previously known results were (1) a lower bound of for both deterministic and randomized alg…

cs.GT2026

Graph Coloring with Color Preferences

Tomohiro Koana, Yeeseok Oh, Hirotaka Yoneda

We study graph coloring with color preferences, in which each vertex ranks the available colors. In addition to assigning different colors to adjacent vertices, we require the colo…

cs.DS2026

The Balanced Four-Color Theorem

Ken-ichi Kawarabayashi, Hirotaka Yoneda, Masataka Yoneda

We show that every planar graph with vertices admits a 4-coloring in which each color is used on fewer than vertices. This bound is the best possible. Moreover, su…

cs.GT2026

Fair Allocation under Conflict Constraints

Sarfaraz Equbal, Rohit Gurjar, Ayumi Igarashi +6

We study the fair allocation of indivisible items subject to conflict constraints. In this framework, the items are represented as the vertices of a graph, with edges corresponding…

cs.DS2026

Online Coloring for Graphs of Large Odd Girth

Hirotaka Yoneda, Masataka Yoneda

We study the problem of online coloring for graphs with large odd girth. The best previously known algorithm uses colors, which was discovered by Kierstead in 1998. Th…

cs.GT2026

Fair Division with Soft Conflicts

Hirotaka Yoneda, Masataka Yoneda

We study the fair division of indivisible goods with conflicts between pairs of goods, represented by a graph . We consider ``soft'' conflicts: assigning two adjacent g…