@article{60334,
  abstract     = {{<jats:p>In this article, we provide a detailed survey of techniques for hexahedral mesh generation. We cover the whole spectrum of alternative approaches to mesh generation, as well as post-processing algorithms for connectivity editing and mesh optimization. For each technique, we highlight capabilities and limitations, also pointing out the associated unsolved challenges. Recent relaxed approaches, aiming to generate not pure-hex but hex-dominant meshes, are also discussed. The required background, pertaining to geometrical as well as combinatorial aspects, is introduced along the way.</jats:p>}},
  author       = {{Pietroni, Nico and Campen, Marcel and Sheffer, Alla and Cherchi, Gianmarco and Bommes, David and Gao, Xifeng and Scateni, Riccardo and Ledoux, Franck and Remacle, Jean and Livesu, Marco}},
  issn         = {{0730-0301}},
  journal      = {{ACM Transactions on Graphics}},
  number       = {{2}},
  pages        = {{1--44}},
  publisher    = {{Association for Computing Machinery (ACM)}},
  title        = {{{Hex-Mesh Generation and Processing: A Survey}}},
  doi          = {{10.1145/3554920}},
  volume       = {{42}},
  year         = {{2022}},
}

@inproceedings{27160,
  abstract     = {{We study the complexity of problems solvable in deterministic polynomial time
with access to an NP or Quantum Merlin-Arthur (QMA)-oracle, such as $P^{NP}$
and $P^{QMA}$, respectively. The former allows one to classify problems more
finely than the Polynomial-Time Hierarchy (PH), whereas the latter
characterizes physically motivated problems such as Approximate Simulation
(APX-SIM) [Ambainis, CCC 2014]. In this area, a central role has been played by
the classes $P^{NP[\log]}$ and $P^{QMA[\log]}$, defined identically to $P^{NP}$
and $P^{QMA}$, except that only logarithmically many oracle queries are
allowed. Here, [Gottlob, FOCS 1993] showed that if the adaptive queries made by
a $P^{NP}$ machine have a "query graph" which is a tree, then this computation
can be simulated in $P^{NP[\log]}$.
  In this work, we first show that for any verification class
$C\in\{NP,MA,QCMA,QMA,QMA(2),NEXP,QMA_{\exp}\}$, any $P^C$ machine with a query
graph of "separator number" $s$ can be simulated using deterministic time
$\exp(s\log n)$ and $s\log n$ queries to a $C$-oracle. When $s\in O(1)$ (which
includes the case of $O(1)$-treewidth, and thus also of trees), this gives an
upper bound of $P^{C[\log]}$, and when $s\in O(\log^k(n))$, this yields bound
$QP^{C[\log^{k+1}]}$ (QP meaning quasi-polynomial time). We next show how to
combine Gottlob's "admissible-weighting function" framework with the
"flag-qubit" framework of [Watson, Bausch, Gharibian, 2020], obtaining a
unified approach for embedding $P^C$ computations directly into APX-SIM
instances in a black-box fashion. Finally, we formalize a simple no-go
statement about polynomials (c.f. [Krentel, STOC 1986]): Given a multi-linear
polynomial $p$ specified via an arithmetic circuit, if one can "weakly
compress" $p$ so that its optimal value requires $m$ bits to represent, then
$P^{NP}$ can be decided with only $m$ queries to an NP-oracle.}},
  author       = {{Gharibian, Sevag and Rudolph, Dorian}},
  booktitle    = {{13th Innovations in Theoretical Computer Science (ITCS 2022)}},
  number       = {{75}},
  pages        = {{1--27}},
  title        = {{{On polynomially many queries to NP or QMA oracles}}},
  doi          = {{10.4230/LIPIcs.ITCS.2022.75}},
  volume       = {{215}},
  year         = {{2022}},
}

@article{24721,
  author       = {{Fathi Ahmed, Abdullah and Ahmed Sherif, Mohamed and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}},
  journal      = {{Data Knowl. Eng.}},
  pages        = {{101874}},
  title        = {{{Multilingual Verbalization and Summarization for Explainable Link Discovery}}},
  doi          = {{10.1016/j.datak.2021.101874}},
  volume       = {{133}},
  year         = {{2021}},
}

@inproceedings{24722,
  author       = {{Röder, Michael and Frerk, Philip and Conrads, Felix and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{The Semantic Web - 18th International Conference, {ESWC} 2021, Virtual Event, June 6-10, 2021, Proceedings}},
  editor       = {{Verborgh, Ruben and Hose, Katja and Paulheim, Heiko and Champin, Pierre-Antoine and Maleshkova, Maria and Corcho, Oscar and Ristoski, Petar and Alam, Mehwish}},
  pages        = {{93--108}},
  publisher    = {{Springer}},
  title        = {{{Applying Grammar-Based Compression to RDF}}},
  doi          = {{10.1007/978-3-030-77385-4\_6}},
  volume       = {{12731}},
  year         = {{2021}},
}

@inproceedings{24723,
  author       = {{Ali, Manzoor and Saleem, Muhammad and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{The Semantic Web: {ESWC} 2021 Satellite Events - Virtual Event, June 6-10, 2021, Revised Selected Papers}},
  editor       = {{Verborgh, Ruben and Dimou, Anastasia and Hogan, Aidan and d'Amato, Claudia and Tiddi, Ilaria and Br{\"{o}}ring, Arne and Maier, Simon and Ongenae, Femke and Tommasini, Riccardo and Alam, Mehwish}},
  pages        = {{136--140}},
  publisher    = {{Springer}},
  title        = {{{Unsupervised Relation Extraction Using Sentence Encoding}}},
  doi          = {{10.1007/978-3-030-80418-3\_25}},
  volume       = {{12739}},
  year         = {{2021}},
}

@inproceedings{24724,
  author       = {{Ali, Manzoor and Saleem, Muhammad and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{The Semantic Web: {ESWC} 2021 Satellite Events - Virtual Event, June 6-10, 2021, Revised Selected Papers}},
  editor       = {{Verborgh, Ruben and Dimou, Anastasia and Hogan, Aidan and d'Amato, Claudia and Tiddi, Ilaria and Br{\"{o}}ring, Arne and Maier, Simon and Ongenae, Femke and Tommasini, Riccardo and Alam, Mehwish}},
  pages        = {{136--140}},
  publisher    = {{Springer}},
  title        = {{{Unsupervised Relation Extraction Using Sentence Encoding}}},
  doi          = {{10.1007/978-3-030-80418-3\_25}},
  volume       = {{12739}},
  year         = {{2021}},
}

@inproceedings{24725,
  author       = {{Shahzad, Moemmur and Amin, Ayesha and Esteves, Diego and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, North Miami Beach, Florida, USA, May 17-19, 2021}},
  editor       = {{Bell, Eric and Keshtkar, Fazel}},
  title        = {{{InferNER: an attentive model leveraging the sentence-level information for Named Entity Recognition in Microblogs}}},
  doi          = {{10.32473/flairs.v34i1.128538}},
  year         = {{2021}},
}

@inproceedings{24726,
  author       = {{Röder, Michael and Thuy Sy Nguyen, Pham and Conrads, Felix and Alexandra Morim da Silva, Ana and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{15th {IEEE} International Conference on Semantic Computing, {ICSC} 2021, Laguna Hills, CA, USA, January 27-29, 2021}},
  pages        = {{62--69}},
  publisher    = {{{IEEE}}},
  title        = {{{Lemming - Example-based Mimicking of Knowledge Graphs}}},
  doi          = {{10.1109/ICSC50631.2021.00015}},
  year         = {{2021}},
}

@inproceedings{24727,
  author       = {{Amer Desouki, Abdelmoneim and Conrads, Felix and Röder, Michael and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{15th {IEEE} International Conference on Semantic Computing, {ICSC} 2021, Laguna Hills, CA, USA, January 27-29, 2021}},
  pages        = {{76--79}},
  publisher    = {{{IEEE}}},
  title        = {{{SYNTHG: Mimicking RDF Graphs Using Tensor Factorization}}},
  doi          = {{10.1109/ICSC50631.2021.00017}},
  year         = {{2021}},
}

@inproceedings{24728,
  author       = {{Demir, Caglar and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{15th {IEEE} International Conference on Semantic Computing, {ICSC} 2021, Laguna Hills, CA, USA, January 27-29, 2021}},
  pages        = {{179--182}},
  publisher    = {{{IEEE}}},
  title        = {{{A shallow neural model for relation prediction}}},
  doi          = {{10.1109/ICSC50631.2021.00038}},
  year         = {{2021}},
}

@inproceedings{24729,
  author       = {{G. Athreya, Ram and Kona Bansal, Srividya and Ngonga Ngomo, Axel-Cyrille and Usbeck, Ricardo}},
  booktitle    = {{15th {IEEE} International Conference on Semantic Computing, {ICSC} 2021, Laguna Hills, CA, USA, January 27-29, 2021}},
  pages        = {{195--198}},
  publisher    = {{{IEEE}}},
  title        = {{{Template-based Question Answering using Recursive Neural Networks}}},
  doi          = {{10.1109/ICSC50631.2021.00041}},
  year         = {{2021}},
}

@inproceedings{24730,
  author       = {{Jalota, Rricha and Vollmers, Daniel and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{15th {IEEE} International Conference on Semantic Computing, {ICSC} 2021, Laguna Hills, CA, USA, January 27-29, 2021}},
  pages        = {{221--226}},
  publisher    = {{{IEEE}}},
  title        = {{{LAUREN - Knowledge Graph Summarization for Question Answering}}},
  doi          = {{10.1109/ICSC50631.2021.00047}},
  year         = {{2021}},
}

@inproceedings{24731,
  author       = {{Wilke, Adrian and Bannoura, Arwa and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{15th {IEEE} International Conference on Semantic Computing, {ICSC} 2021, Laguna Hills, CA, USA, January 27-29, 2021}},
  pages        = {{241--247}},
  publisher    = {{{IEEE}}},
  title        = {{{Relicensing Combined Datasets}}},
  doi          = {{10.1109/ICSC50631.2021.00050}},
  year         = {{2021}},
}

@inproceedings{24732,
  author       = {{Röder, Michael and de Souza, Geraldo and Kuchelev, Denis and Amer Desouki, Abdelmoneim and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{15th {IEEE} International Conference on Semantic Computing, {ICSC} 2021, Laguna Hills, CA, USA, January 27-29, 2021}},
  pages        = {{272--279}},
  publisher    = {{{IEEE}}},
  title        = {{{ORCA - a Benchmark for Data Web Crawlers}}},
  doi          = {{10.1109/ICSC50631.2021.00054}},
  year         = {{2021}},
}

@phdthesis{24887,
  author       = {{Hinnenthal, Kristian}},
  title        = {{{Models and Algorithms for Hybrid Networks and Hybrid Programmable Matter}}},
  doi          = {{10.17619/UNIPB/1-1169 }},
  year         = {{2021}},
}

@misc{25126,
  abstract     = {{Motivated by the prospect of computing agents that explore unknown environments and construct convex hulls on the nanoscale, we investigate the capabilities and limitations of a single deterministic finite automaton robot in the three-dimensional hybrid model for programmable matter. In this model, active robots move on a set of passive tiles, called configuration, with the geometric shape of rhombic dodecahedra on the adjacency graph of the face-centered cubic sphere-packing. We show that the exploration problem is equally hard in the hybrid model and in three-dimensional mazes, in which tiles have the shape of cubes and are positioned at the vertices of $\mathbb{Z}^3$. Thereby, a single robot with a constant number of pebbles cannot solve this problem in the hybrid model on arbitrary configurations. We provide algorithms for a robot with two pebbles that solve the exploration problem in the subclass of compact configurations of size $n$ in $\O(n^3)$ rounds. Further, we investigate the robot's capabilities of detection and hull construction in terms of restricted orientation convexity. We show that a robot without any pebble can detect strong $\O$-convexity in $\O(n)$ rounds, but cannot detect weak $\O$-convexity, not even if provided with a single pebble. Assuming that a robot can construct tiles from scratch and deconstruct previously constructed tiles, we show that the strong $\O$-hull of any given configuration of size $n$ can be constructed in $\O(n^4)$ rounds, even if the robot cannot distinguish constructed from native tiles.}},
  author       = {{Liedtke, David Jan}},
  keywords     = {{Robot Exploration, Finite Automaton, Hybrid Model for Programmable Matter, Convex Hull}},
  title        = {{{Exploration and Convex Hull Construction in the Three-Dimensional Hybrid Model}}},
  year         = {{2021}},
}

@inproceedings{25203,
  author       = {{Alexandra Morim da Silva, Ana and Röder, Michael and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{The Semantic Web - {ISWC} 2021 - 20th International Semantic Web Conference, {ISWC} 2021, Virtual Event, October 24-28, 2021, Proceedings}},
  editor       = {{Hotho, Andreas and Blomqvist, Eva and Dietze, Stefan and Fokoue, Achille and Ding, Ying and M. Barnaghi, Payam and Haller, Armin and Dragoni, Mauro and Alani, Harith}},
  pages        = {{270--286}},
  publisher    = {{Springer}},
  title        = {{{Using Compositional Embeddings for Fact Checking}}},
  doi          = {{10.1007/978-3-030-88361-4\_16}},
  volume       = {{12922}},
  year         = {{2021}},
}

@inproceedings{25206,
  author       = {{Demir, Caglar and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{The Semantic Web - 18th International Conference, {ESWC} 2021, Virtual Event, June 6-10, 2021, Proceedings}},
  editor       = {{Verborgh, Ruben and Hose, Katja and Paulheim, Heiko and Champin, Pierre{-}Antoine and Maleshkova, Maria and Corcho, Oscar and Ristoski, Petar and Alam, Mehwish}},
  pages        = {{409--424}},
  publisher    = {{Springer}},
  title        = {{{Convolutional Complex Knowledge Graph Embeddings}}},
  doi          = {{10.1007/978-3-030-77385-4\_24}},
  volume       = {{12731}},
  year         = {{2021}},
}

@inproceedings{25208,
  author       = {{Speck, Ren{\'{e}} and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{15th {IEEE} International Conference on Semantic Computing, {ICSC} 2021, Laguna Hills, CA, USA, January 27-29, 2021}},
  pages        = {{298--305}},
  publisher    = {{{IEEE}}},
  title        = {{{Twitter Network Mimicking for Data Storage Benchmarking}}},
  doi          = {{10.1109/ICSC50631.2021.00057}},
  year         = {{2021}},
}

@article{25209,
  author       = {{Demir, Caglar and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}},
  journal      = {{CoRR}},
  title        = {{{A shallow neural model for relation prediction}}},
  volume       = {{abs/2101.09090}},
  year         = {{2021}},
}

