Note: The references are not ordered alphabetically!

1800 P. Erdos
Some combinatorial, geometric and set theoretic problems in measure theory
in Kölzow, D.; Maharam-Stone, D. (eds.), Measure Theory Oberwolfach, Lecture Notes in Mathematics 1089 (1983)
1801 T. Calamoneri, B. Sinaimeri
Relating threshold tolerance graphs to other graph classes
In Proc. of the 15th Italian Conference on Theoretical Computer Science ICTCS (2014)
Available here.
1802 P.A. Golovach, P. Heggernes, N. Lindzey, R.M. McConnell, V. Fernandes dos Santos, J.P. Sprinrad, J.L. Szwarcfiter
On recognition of threshold tolerance graphs and their complements
Discrete Appl. Math. 216 No. 171-180 (2017)
doi 10.1016/j.dam.2015.01.034
1803 V. Dujmovic, A. Por, D.R. Wood
Track layouts of graphs
DMTCS 6 No.2 497-522 (2004)
1804 M.D. Safe
Characterization and linear-time detection of minimal obstructions to concave-round graphs and the circular-ones property
J. Graph. Th. 93 No.2 268-298 (2020)
1805 V. Lozin, V. Zamaraev
The structure and the number of $P_7$-free bipartite graphs
European J. Combin 65 142-153 (2017)
doi 10.1016/j.ejc.2017.05.008
1806 M. Jiang
Recognizing d-interval graphs and d-track interval graphs
Algorithmica 66 541-563 (2012)
doi 10.1007/s00453-012-9651-5
1807 B.M.P. Jansen, V. Raman, M. Vatshelle
Parameter ecology for feedback vertex set
Tsinghua science and technology 19 No.4 387-409 (2014)
1808
  • Let us consider a $(C,S,I)$-partition of a pseudo-split graph $G$. If $S$ is empty, then $G$ is a split graph and therefore it is polar. Otherwise, $S$ induces a 5-cycle $(v_0,v_1,v_2,v_3,v_4)$ and we have that $(C\cup\{v_0,v_2\}, I\cup\{v_1,v_3,v_4\})$ is a polar partition of G. Hence pseudo-split graphs are polar.
  • It can easily be verified that the join of $K_1$ with a 5-cycle is not monopolar, but the disjoint union of a 5-cycle with an independent set is. Hence, if for a $(C,S,I)$-partition of a pseudo-split graph both $C$ and $S$ are non-emtpy, then $G$ is not monopolar. If $S$ is empty, then $G$ is split and therefore monopolar and if $C$ is empty, then $G$ is also monopolar, as stated. Thus $G$ is monopolar iff at least one of $C,S$ is empty, which can be decided from the degree sequence of $G$ in linear time.
(Esteban Contreras)
1809 F. Maffray
Fast recognition of doubled graphs
Theoretical Comp.Sci. 516 96-100 (2014
doi 10.1016/j.tcs.2013.11.020
1810 A. Munaro
On line graphs of subcubic triangle-free graphs
Discrete Math. 340 No.6 1210-1226 (2017)
doi 10.1016/j.disc.2017.01.006
1811 A. Munaro
Bounded clique cover of some sparse graphs
Discrete Math. 340 No.9 2208-2216 (2017)
doi 10.1016/j.disc.2017.04.004
1812 Z. Deniz, E. Galby, A. Munaro, B. Ries
On contact graphs of paths on a grid
Proc. of Graph Drawing 2018, LNCS 11282 317-330 (2018)
1813 E. Gioan, Ch. Paul, M. Tedder5, D. Corneil
Practical and Efficient Circle Graph Recognition
Algoritmica 69 No.4 759-788 (2014)
1814 S. Chaplick
Intersection graphs of non-crossing paths
Proceedings of the International Workshop on Graph-Theoretic Concepts in Computer Science WG 2019, LNCS 11789 (2019)
doi 10.1007/978-3-030-30786-8_24
Available on arXiv.
1815 R. Adhikary, K. Bose, S. Mukherjee, B. Roy
Complexity of maximum cut on interval graphs
Proc. of 37th International Symposium on Computation Geometry 7:1-7:11 (2021)
1816 O. Cagirici, P. Hlineny, B. Roy
On colourability of polygon visibility graphs
37th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science 21:1-21:14 (2018)
1817 Let $k$ be the size of a maximum independent set in $G$. For every set $S$ in $V(G)$ with $k$ vertices, we can check in linear time whether $G[S]$ is independent and $G\S$ is $P_3$-free. This gives an $O(V(G)^k)$ algorithm to decide whether $G$ is monopolar. (P. Ochem)
1818 O. Aichholzer, W. Mulzer, P. Schnider, B. Vogtenhuber
NP-Completeness of Max-Cut for Segment Intersection Graphs
In: 34th European Workshop on Computational Geometry, Berlin, Germany, March 21–23, 2018
Available here.
1819 J.E. Williamson
On Hamilton-connected graphs
Ph.D.-Thesis, Western Michigan University 1973
1820 O. Ore
Hamilton connected graphs
Journal de Mathematiques Pures et Appliquees XLII 21-27 (1963)
1821 P. Seymour
How the proof of the Strong Perfect Graph Conjecture was found
2006
Available here
1822 W. Kennedy, G. Lin, G. Yan
Strictly chordal graphs are leaf powers
J. of Discrete Algorithms 4 no.4 511-525 (2006)
doi 10.1016/j.jda.2005.06.005
1823 M.C. Golumbic, U.N. Peled
Block duplicate graphs and a hierarchy of chordal graphs
Discrete Appl. Math. 124 No.1-3 67-71 (2002)
doi 10.1016/S0166-218X(01)00330-4
1824 G. Oriolo, U. pietropaoli, G. Stauffer
On the recognition of fuzzy circular interval graphs
Discrete Math. 312 No.8 1426-1435 (2012)
doi 10.1016/j.disc.2011.12.029
1825 W. Kennedy
Strictly chordal graphs and phylogenetic roots
M.Sc.Thesis, University of Alberta (2005)
1826 A. Rafiey
Recognizing interval bigraphs by forbidden patterns
J. Graph Theory (2022)
doi 10.1002/jgt.22792
1827 A graph can contain arbitrarily many diamonds and therefore has unbounded distance to block (P. Ochem).
1828 A graph $G$ satisfies the condition of Prop. 1 in
[1456]
J. Kratochvil, A. Kubena
On intersection representations of co-planar graphs
Discrete Math. 178 No.1-3 251-255 (1998)
with $\tilde{G}$ a star (P. Ochem).
1829 A graph with maximum independent set bounded by $k$ that is 3-colourable has at most $3k$ vertices. (P. Ochem)
1830 Book thickness of an is at most 5: 4 pages for the graph
[1777]
M. Yannakakis
Embedding planar graph in four pages
Journal of Computer and System Sciences 38 36-67 (1989)
and an extra page for the apex vertex. (P. Ochem)
1831 R. Belmonte, P. van 't Hof, M. Kaminski, D. Paulusma, D.M. Thilikos
Characterizing graphs of small carving-width
Discrete Appl. Math 161 No.13-14 1888-1893 (2013)
doi 10.1016/j.dam.2013.02.036
1832 M. Barbato, D. Bezzi
Monopolar graphs: Complexity of computing classical graph parameters
Discrete Appl. Math. 291 277-285 (2021)
doi 10.1016/j.dam.2020.12.023
1833 M. Chudnovsky, A. Scott, P. Seymour, S. Spirki
Detecting an odd hole
J. ACM 67 No.1 1-12 (2020)
doi 10.1145/3375720
1834 Z. Füredi, F. Lazebnik, A. Seress, V.A. Ustimenko, A.J. Woldar
Graphs of prescribed girth and bi-degree
J. Combin. Th. Series B 64 No.2 228-239 (1995)
doi 10.1006/jctb.1995.1033
1835 L.E. Trotter
Line perfect graphs
Mathematical Programming 12 No.2 255-259 (1977)
doi 10.1007/BF01593791
1836 I.E. Zverovich
Perfect cochromatic graphs
Rutcor Research Report 16-2000
1837 G. Burosch, J.-M. Laborde
Characterization of grid graphs
Discrete Math. 87 No.1 85-88 (1991)
doi 10.1016/0012-365X(91)90074-C
1838 M.R. Cerioli, L. Faria, T.O. Ferreira, C.A.J. Martinhon, F. Protti, B. Reed
Partition into cliques for cubic graphs: Planar case, complexity and approximation
Discrete Appl. Math. 156 No.12 2270-2278 (2008)
doi 10.1016/j.dam.2007.10.015
1839 A. Grzesik, T. Klimosova, M. Pilipczuk
Polynomial-time Algorithm for Maximum Weight Independent Set on P6-free Graphs
ACM Transactions on Algorithms 18 No.1 1-57 (2022)
doi 10.1145/3414473
1840 O. Al-saadi, J. Radcliffe
Asteroidal sets and dominating paths
In: Wu, W., Guo, J. (eds) Combinatorial Optimization and Applications. COCOA 2023. LNCS 14461
doi 10.1007/978-3-031-49611-0_15
1841 P. Bachmann, I. Rutter, P. Stumpf
On 3-coloring circle graphs
doi 10.48550/arXiv.2309.02258
Available on arXiv
1842 B.S. Panda
The forbidden subgraph characterization of directed vertex graphs
Discrete Math. 196 No.1-3 239-256 (1999)
doi 10.1016/S0012-365X(98)00127-7
1843 A. Brandstaedt, C. Hundt, F. Mancini, P. Wagner
Rooted directed path graphs are leaf powers
Discrete Math. 310 No.4 987-910
doi 10.1016/j.disc.2009.10.006
1844 For any linear layout of the vertices of a graph, an endpoint $x$ in the Layout and an integer $b$, there can be at most $(b-1)^2$ edges of length $b$ crossing x. Hence cutwidth <= bandwidth$^2$. (M. Renken)
1845 Ch. Paul, E. Protopapas
Tree-layout based graph classes: proper chordal graphs
International Symposioum on Theoretical Aspects of Computer Science STACS 2024, LIPIcs 289 No.55 1-18 (2024)
Available on arXiv
1846 R. Tarjan
A note on finding the bridges of a graph
Information Proc. Letters 2 No.6 160-161 (1974)
doi 10.1016/0020-0190(74)90003-9
1847 N. Champseix, E. Galby, A. Munaro, B. Ries
CPG graphs: Some structural and hardness results
Discrete Appl. Math 290 17-35 (2021)
doi 10.1016/j.dam.2020.11.018
1848 Z.Z. Chen, M. Grigni, C.H. Papadimitriou
Map graphs
J. ACM 49 No.2 127-138
doi 10.1145/506147.50614
Available on arXiv
1849 Let $u_1,\dots,u_n$ be the vertices of a graph $G$ with degeneracy $d$ such that $u_i$ has at most $d$ neighbours in $u_i+1,\dots,u_n$. We know that a clique is always included in the "right" neighborhood of a vertex (i.e. the neighbours of $u_i$ which are after $u_i$ in the order $u_1,\dots,u_n$). So the FPT algorithm is (this one actually enumerates all cliques):
 for i=1 to n:
  for every subset $C$ of $N(u_i) \cap \{u_i,...,u_n\}$:
   if $C$ is a clique:
    output $C$
Complexity : By definition $N(u_i) \cap \{u_i,...,u_n\}$ is of size at most $d$, thus the total complexity is at most $2^d\cdot n^{O(1)}$. (A. Castillon)
1850 M. Conforti, G. Cornuéjols, A. Kapoor, K. Vušković
Universally signable graphs
Combinatorica 17 No.1 67-77 (1997)
doi 10.1007/BF01196132
1851 G. Ding
Subgraphs and well-quasi-oridering
J. Graph Theory 16 No.5 489-502 (1992)
doi 10.1007/BF01196132
1852 J. Ahn, L. Jaffke, O-j. Kwon, P.T. Lima
Well-partitioned chordal graphs
Discrete Math. 345 No.10 112985 (2022)
doi j.disc.2022.112985
1853 F. Joos
A characterization of substar graphs
Discrete Appl. Math 175 115-118 (2014)
doi j.dam.2014.05.033
1854 M.R. Cerioli, J. Szwarcfiter
Characterizing intersection graphs of substars of a star
Ars. Combin 79 21-31 (2006)
1855 A. Boyacı, T. Ekim, M. Shalom
A polynomial-time algorithm for the maximum cardinality cut problem in proper interval graphs
Information Proc. Letters 121 29-33 (2017)
doi j.ipl.2017.01.007
1856 C.A. Alfaro, L. Taylor
Distance ideals of graphs
Linear Algebra and its Applications 584 127-144 (2020)
doi 10.1016/j.laa.2019.09.012
1857 A. Rok, B. Walczak
Outerstring Graphs are χ-Bounded
SIAM J. Discrete Math. 33 No.4 2181-2199 (2019)
doi 10.1137/17M1157374
1858 R. Uehara, Y. Uno
Laminar structure of ptolemaic graphs with applications
Discrete Appl. Math. 157 No.7 1533-1543 (2009)
doi 10.1016/j.dam.2008.09.006
1859 N. Jedličková, J. Kratochvil
Hamiltonian path and Hamiltonian cycle are solvable in polynomial time in graphs of bounded independence number
Manuscript
Available on arXiv
1860 F.V. Fomin, P.A. Golovach, D. Sagunov, K. Simonov
Hamiltonicity, Path Cover, and Independence Number: An FPT Perspective
Manuscript
Available on arXiv
1861 N. Jedličková, J. Kratochvil
On the structure of Hamiltonian graphs with small independence number
Combinatorial Algorithms. IWOCA 2024. LNCS 14764 180-192 (2024)
doi 10.1007/978-3-031-63021-7_14
Available on arXiv
1862 rooted directed path and co-threshold tolerance graphs are incomparable, with witnesses T3 (rooted directed path but not co-threshold tolerance) and XF32 (co-threshold tolerance but not rooted directed path), respectively. S. Høgemo, personal communication.
1863 J. Kratochvil, M. Krivánek
On the Computational Complexity of Codes in Graphs
Mathematical Foundations of Computer Science 1988 396-404 (1988)
1864 J. Kratochvil
Regular codes in regular graphs are difficult
Discrete Math. 133 191-205 (1994)
1865 A 1-perfect code in a graph is an independent set S such that every vertex not in S has exactly one neighbor in S. In a d-regular graph G, dominating number is at least n/(d+1), with equality if and only if G contains a 1-perfect code. Hence deciding if a cubic graph has a dominating set of size at most n/4 is the same question as if the graph contains a 1-perfect code, and deciding if a planar cubic graph has a 1-perfect code was shown NP-complete in
[1863]
J. Kratochvil, M. Krivánek
On the Computational Complexity of Codes in Graphs
Mathematical Foundations of Computer Science 1988 396-404 (1988)
. See also
[1864]
J. Kratochvil
Regular codes in regular graphs are difficult
Discrete Math. 133 191-205 (1994)
.
1866
  • (0,3)-colorable $\subseteq$ probe (1,2)-colorable. Because we can turn one of the three stable sets of a tripartite graph into a clique to obtain a (1,2)-colorable graph.
  • cochromatic number is bounded for probe (2,2)-colorable. Because probe (p,q)-colorable $\subseteq$ (p,q+1)-colorable in general, and (p,q+1)-colorable has cochromatic number at most p+q+1.
  • cochromatic number is bounded for (p,q$\le$ 2)-colorable. They have cochromatic number at most p+2.
  • cochromatic number is unbounded for cluster. $n K_n$ has cochromatic number n.
  • cochromatic number is unbounded for girth $\ge 9$. By
    [1734]
    P. Erdos
    Graph theory and probability
    Canadian J. of Math. 11 34-38 (1959)
    (see also here), there exists graphs on $n$ vertices with girth $\ge 9$ and no stable set of size $n/k$ for every fixed $k$. Also, since they have no triangles, they have no cliques of size 3 or greater, so they have no cocoloring with a fixed number of colors.
  • distance to cograph is unbounded for $(2K_2,C_4,C_5,claw,diamond)$-free. Let $G_t$ be graph obtained from $K_t$ by adding a pendant vertex to every vertex of $K_t$. So $G_2$ is $P_4$. Removing $r$ vertices from $G_t$ gives a graph containing an induced graph $G_{t-r}$
  • line graphs of planar cubic bipartite graphs $\subseteq$ planar of maximum degree 4. From a planar embedding of a planar cubic bipartite graph, we connect the middles of incident edges to obtain a 4-regular planar line graph.
(P. Ochem)
1867 Ptolemaic graphs are rooted directed path graphs.

The proof goes by induction and makes use of the following claim: Every ptolemaic graph contains a leaf (vertex with only one neighbor), two proper twins, or two false twins that are simplicial.

[57]
H.--J. Bandelt, H.M. Mulder
Distance--hereditary graphs
J. Comb. Theory (B) 41 1986 182--208

As base case we have that $K_1$ obviously is both ptolemaic and admits an RDP model.

For the induction step, we assume that every ptolemaic graph with $n−1$ vertices admit RDP models, and look at an arbitrary ptolemaic graph $G$ with $n$ vertices. By the above claim, $G$ contains a vertex $v$ of one of the three types. Furthermore, according to the induction hypothesis, $G\setminus v$ is an RDP graph and admits an RDP model $(T, P)$. We look at the three types $v$ can have and show that in each case, we can augment the RDP model to include also $v$:

  • $v$ is a leaf. In this case, $v$ has a single neighbor $u$. We look at the directed path $P_u$ corresponding to $u$ in the RDP model. Specifically, we look at the bottommost node $bu$ of $P_u$. Adding a child $c$ to $b_u$ and extending $P_u$ to this new node will not break the property of being an RDP model. Furthermore, we can add a new path $P_v$ corresponding to $v$, that only consists of the node $c$, and add it to $P$. This new model is clearly an RDP model of $G$.

  • $v$ has a true twin $v′$. In this case, we simply make a new path $P_v = P_{v′}$ and add it to $P$. This must clearly be an RDP model of $G$.

  • $v$ is simplicial and has a false twin $v′$. In this case, we look at the path $P_{v′}$. Since the neighborhood $S$ of $v$ and $v′$ is a clique, and directed paths have the Helly property, we know there is at least one node $s\in P_{v′}$ such that the cover $V(s)$ - i.e. the set of vertices whose paths contain $s$ - is equal to $S$. As such, we know that we can shrink the path $P_{v′}$ down to only include $s$. Subdividing the edge from the parent of $s$ to $s$, and extending every path in $S$ through the subdivision node $s′$, will not destroy the property of being an RDP model. Then, we can make a new path $P_v$ that only includes $s′$, and add it to $P$. The resulting RDP is clearly an RDP of $G$.

In every case, we see that there exists an RDP model of G. QED. (S. Høgemo). A proof is also attributed to

[278]
E. Dahlhaus
Chordale Graphen im besonderen Hinblick auf parallele Algorithmen
Habilitation Thesis, Universit\"at Bonn 1991
.

1868 V. Ardévol Martínez, R. Rizzi, F. Sikora, S. Vialette
Recognizing unit multiple interval graphs is hard
Discrete Appl. Math. 160 258-274 (2025)
doi 10.1016/j.dam.2024.09.011
1869 C.H. Papadimitriou, M. Yannakakis
The clique problem for planar graphs
Information Proc. Letters 13 131-133 (1981)
doi 10.1016/0020-0190(81)90041-7
1870 B. Grussien
Capturing Logarithmic Space and Polynomial Time on Chordal Claw-Free Graphs
Log. Methods Comput. Sci. 15 No.3 (2019)
doi 10.23638/LMCS-15(3:2)2019
1871 P.S. Kumar, C.E.V. Madhavan
Clique tree generalization and new subclasses of chordal graphs
Discrete Appl. Math 117 No.1-3 109-131 (2019)
doi 10.1016/S0166-218X(00)00336-X
1872 S. Chaplick
Intersection graphs of non-crossing paths
Discrete Math. 346 No.8 (2023)
doi 10.1016/j.disc.2023.113498
1873 M.R. Cerioli, F. Luerbio, O. Talita, F. Protti
A note on maximum independent sets and minimum clique partitions in unit disk graphs and penny graphs: complexity and approximation
RAIRO-Theor. Inf. Appl. 45 No.3, 331-346 (2011)
doi 10.1051/ita/2011106
1874 M. Hellmuth, G.E. Scholz
Resolving prime modules: The structure of pseudo-cographs and galled-tree explainable graphs
Disc. Appl. Math. 343 25-43 (2024)
doi 10.1016/j.dam.2023.09.034
1875 M. Hellmuth, G.E. Scholz
Solving NP-hard problems on GaTEx graphs: Linear-time algorithms for perfect orderings, cliques, colorings, and independent sets
Theoretical Comp. Sci. 1037 115-157 (2025)
doi 10.1016/j.tcs.2025.115157
1876 V. Chepoi, D. Osajda
Dismantlability of weakly systolic complexes and applications
Trans. Amer. Math. Soc. 367 No.2 1247-1272 (2015)
doi 10.1090/S0002-9947-2014-06137-0
1877 J. Chalopin, V. Chepoi, H. Hirai, D. Osajda
Weakly modular graphs and nonpositive curvature
Available on arXiv
1878 Ch. Paul, I. Rutter
Circle graphs can be recognized in linear time
Accepted for STACS 2026
Available on arXiv
1879 Recognition of ($C_{n+3} \cup K_1$, diamond, paw)-free is polynomial.

To check that a graph $G$ is $(C_{n+3} \cup K_1)$-free, we can simply try the following: for each vertex $v$, delete $v$ and its neighbourhood, and check that the resulting graph is $C_{n+3}$-free --- in other words, that it has no cycle at all, or equivalently that it is a forest, and this is easily done in O(V+E). Then $G$ is $(C_{n+3} \cup K_1)$-free iff for every vertex $v$, the graph obtained by removing $N[v]$ is a forest, so we should have something like O(V(V+E)) for the running time.

Diamonds and paws can be recognized in polynomial time using brute force. So we have a polynomial-time recognition algorithm for ($C_{n+3} \cup K_1$, diamond, paw)-free graphs.

(by Anthony Labarre)
1880 M. Dupre la Tour, M. Lafond, N. Ndiaye
Recognizing Leaf Powers and Pairwise Compatibility Graphs is NP-Complete
Proceedings of the 2026 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA) 6166-6183 (2026)
doi 10.1137/1.9781611978971.219
Available on arXiv
1881 D. Neuen
Graph isomorphism for unit square graphs
Proc. of 24th Annual European Symposium on Algorithms (ESA 2016)
doi 10.4230/LIPIcs.ESA.2016.70