Coloring in Graph Streams via Deterministic and Adversarially Robust Algorithms

Summary: Deterministic semi-streaming algorithm achieves combinatorially optimal (Δ+1)-coloring in O(log Δ · log log Δ) passes, improving prior O(Δ)-coloring. Adversarially-robust semi-streaming reduced colors to O(Δ^{5/2}) with improved colors/space tradeoffs (e.g., O(Δ^2) colors in O(n·Δ^{1/3}) space). (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: hb6a3d7ccbb152c00
Venue: PODS
Year: 2023
Pagerank: 5.2056825e-05
Overall Rank: 9,238 | 37.89%
DOI: 10.1145/3584372.3588681

Incoming Non-self Citations Over Time

Authors

1. Sepehr Assadi (Rutgers University)
2. Amit Chakrabarti (Dartmouth College)
3. Prantar Ghosh (Rutgers University)
4. Manuel Stoeckl (Dartmouth College)

BibTeX Citation

@inproceedings{assadi_pods23,
        address = {New York, NY, USA},
        series = {{PODS} '23},
        title = {{Coloring in Graph Streams via Deterministic and Adversarially Robust Algorithms}},
        url = {https://dl.acm.org/doi/10.1145/3584372.3588681},
        doi = {10.1145/3584372.3588681},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Assadi, Sepehr and Chakrabarti, Amit and Ghosh, Prantar and Stoeckl, Manuel},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
11,089	Perfect Sampling in Turnstile Streams Beyond Small Moments	2025	PODS	4.9793485e-05

Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
4,305	The Adversarial Robustness of Sampling	2020	PODS	6.67672e-05
4,381	A Framework for Adversarially Robust Streaming Algorithms	2020	PODS	6.6265793e-05
5,583	Coloring Away Communication in Parallel Query Optimization	1995	VLDB	6.0764905e-05

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