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This paper investigates the semi-streaming complexity of k-partial coloring, a generalization of proper graph coloring. For k ≥ 1, a k-partial coloring requires that each vertex v in an n-node graph is assigned a color such that at least min{k, deg(v)} of its neighbors are assigned colors different from its own. This framework naturally extends classical coloring problems: specifically, k-partial (k+1)-coloring and k-partial k-coloring generalize (Δ+1)-proper coloring and Δ-proper coloring, respectively.
Prior works of Assadi, Chen, and Khanna [SODA 2019] and Assadi, Kumar, and Mittal [TheoretiCS 2023] show that both (Δ+1)-proper coloring and Δ-proper coloring admit one-pass randomized semi-streaming algorithms. We explore whether these efficiency gains extend to their partial coloring generalizations and reveal a sharp computational threshold: while k-partial (k+1)-coloring admits a one-pass randomized semi-streaming algorithm, the k-partial k-coloring remains semi-streaming intractable, effectively demonstrating a "dichotomy of one color" in the streaming model.
@InProceedings{das:LIPIcs.SWAT.2026.15,
author = {Das, Avinandan},
title = {{One Color Makes All the Difference in the Tractability of Partial Coloring in Semi-Streaming}},
booktitle = {20th Scandinavian Symposium on Algorithm Theory (SWAT 2026)},
pages = {15:1--15:16},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-421-5},
ISSN = {1868-8969},
year = {2026},
volume = {370},
editor = {Fraigniaud, Pierre},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SWAT.2026.15},
URN = {urn:nbn:de:0030-drops-260515},
doi = {10.4230/LIPIcs.SWAT.2026.15},
annote = {Keywords: Graph Coloring, Semi-streaming algorithms, Lower bounds}
}