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Papers matching “general graphs” 204

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First-Order Model-Checking in Random Graphs and Complex Networks
2020 DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) article Computer Science Advanced Graph Theory Research Open access

Jan Dreier, Philipp Kuinke, Peter Rossmanith

1

citations
Organizing Scientific Knowledge From Energy System Research Using the Open Research Knowledge Graph
2024 arXiv (Cornell University) preprint Computer Science Distributed and Parallel Computing Systems Open access

Oliver Karras, Jan Göpfert, Patrick Kuckertz, Tristan Pelser, Sören Auer

1

citations
Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers
2022 Parallel Computing article Engineering Advanced Memory and Neural Computing Open access

Jari Pronold, Jakob Jordan, Brian J. N. Wylie, Itaru Kitayama, Markus Diesmann, Susanne Kunkel

27

citations
Signed Total Roman Domination and Domatic Numbers: Degree Three and Complete Multipartite Graphs
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Theory Research Open access

Arie M. C. A. Koster, Lutz Volkmann, Moritz Wehrmann

0

citations
Snapquery: FAIR Management of Query Sets to Mitigate Query Rot in Knowledge Graphs
2026 Zenodo (CERN European Organization for Nuclear Research) preprint Computer Science Graph Theory and Algorithms Open access

0

citations
Learning General Policies with Policy Gradient Methods
2023 conference-paper Computer Science Reinforcement Learning in Robotics Open access

Simon Ståhlberg, Blai Bonet, Héctor Geffner

10

citations
Learning General Policies with Policy Gradient Methods
2025 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Simon Ståhlberg, Blai Bonet, Héctor Geffner

0

citations
Learning General Policies with Policy Gradient Methods
2025 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Simon Ståhlberg, Blai Bonet, Héctor Geffner

0

citations
A General Branch-and-Cut Framework for Rotating Workforce Scheduling
2022 INFORMS journal on computing article Decision Sciences Scheduling and Timetabling Solutions

Tristan Becker, Maximilian Schiffer, Grit Walther

5

citations
Efficient Lookahead Encoding and Abstracted Width for Learning General Policies in Classical Planning
2026 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Michael Aichmüller, Simon Ståhlberg, Martin Funkquist, Hector Geffner

0

citations
Testing H-Freeness on Sparse Graphs, the Case of Bounded Expansion
2026 DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) article Computer Science Complexity and Algorithms in Graphs Open access

Samuel Humeau, Mamadou Moustapha Kanté, Daniel Mock, Timothé Picavet, Alexandre Vigny

0

citations
TopoEmbedX: A General Framework for Representation Learning on Topological Domains
2026 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access

Florian Frantzen, Ibrahem ALJabea, Inês Henriques-Cadby, Theodore Papamarkou, Mustafa Hajij, Michael T. Schaub

0

citations
Towards General Negotiation Strategies with End-to-End Reinforcement Learning
2024 arXiv (Cornell University) preprint Computer Science Multi-Agent Systems and Negotiation Open access

Bram M. Renting, Thomas M. Moerland, Holger H. Hoos, Catholijn M. Jonker

0

citations
Complexity of the Directed Robust b‐Matching Problem and Its Variants on Different Graph Classes
2025 Networks article Computer Science Complexity and Algorithms in Graphs Open access

Jenny Segschneider, Arie M. C. A. Koster

0

citations
Testing H-Freeness on Sparse Graphs, the Case of Bounded Expansion
2025 arXiv (Cornell University) preprint Computer Science Complexity and Algorithms in Graphs Open access

Samuel Humeau, Mamadou Moustapha Kanté, Daniel Mock, Timothé Picavet, Alexandre Vigny

0

citations
Snapquery: FAIR Management of Query Sets to Mitigate Query Rot in Knowledge Graphs
2026 Zenodo (CERN European Organization for Nuclear Research) preprint Computer Science Research Data Management Practices Open access

Wolfgang Fahl, Christoph Lange, Tim Holzheim, Stefan Decker

0

citations
Covered Forest: Fine-grained generalization analysis of graph neural networks
2024 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Ben Finkelshtein, Floris Geerts, Ron Levie

0

citations
Graph Similarity and Homomorphism Densities
2021 arXiv (Cornell University) preprint Mathematics Graph theory and applications Open access

Jan Böker

5

citations
Graph Similarity and Homomorphism Densities
2021 RWTH Publications (RWTH Aachen) conference-paper Computer Science Advanced Graph Theory Research Open access

Jan Böker

1

citations
SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks
2022 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Gaurav Rattan, Sandra Kiefer, Siamak Ravanbakhsh

0

citations
A decomposition-compatible canonization framework for the graph isomorphism problem
2021 RWTH Publications (RWTH Aachen) dissertation Computer Science Constraint Satisfaction and Optimization Open access

Daniel Wiebking

0

citations
GraphBench: Next-generation graph learning benchmarking
2025 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

1

citations
Graph Neural Network-Based Multi-Agent Reinforcement Learning for Active Voltage Control: Performance and Topology Robustness
2025 SSRN Electronic Journal preprint Engineering Optimal Power Flow Distribution Open access

Chijioke Eze, Chetan Prakash, Antonello Monti

0

citations
Future Directions in the Theory of Graph Machine Learning
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Fabrizio Frasca, Nadav Dym, Haggai Maron, İsmail İlkan Ceylan, Ron Levie, Derek Lim, +3 more

0

citations
Blind Extraction of Equitable Partitions from Graph Signals
2022 ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) conference-paper Computer Science Advanced Graph Neural Networks Open access

Michael Scholkemper, Michael Schaub

2

citations