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Papers matching “task graphs” 86

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THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Yixin Peng, Diego Collarana, 金儿, Stefan Decker

0

citations
A Wasserstein Graph Distance Based on Distributions of Probabilistic Node Embeddings
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Michael Scholkemper, Damin Kühn, Gerion Nabbefeld, Simon Musall, Björn M. Kampa, Michael T. Schaub

1

citations
GTCN-G: A Residual Graph-Temporal Fusion Network for Imbalanced Intrusion Detection
2025 arXiv (Cornell University) preprint Computer Science Network Security and Intrusion Detection Open access

Tianxiang Xu, Zhichao Wen, Xinyu Zhao, Yan Li, Chang Liu

1

citations
Graph neural networks for the prediction of molecular structure-property relationships
2022 arXiv (Cornell University) preprint Computer Science Computational Drug Discovery Methods Open access

Jan G. Rittig, Qinghe Gao, Manuel Dahmen, Alexander Mitsos, Artur M. Schweidtmann

2

citations
Heterophily-Based Graph Neural Network for Imbalanced Classification
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Zirui Liang, Yuntao Li, Tianjin Huang, Akrati Saxena, Mykola Pechenizkiy

0

citations
On Graph Neural Network Fairness in the Presence of Heterophilous Neighborhoods
2022 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Jiong Zhu, Mark Heimann, Ben Fish, Michael T. Schaub, Danai Koutra

5

citations
Which Algorithms Can Graph Neural Networks Learn?
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Solveig Wittig, Antonis Vasileiou, Robert R. Nerem, Timo Stoll, Floris Geerts, Yusu Wang, +1 more

0

citations
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
2023 arXiv (Cornell University) preprint Computer Science Computational Drug Discovery Methods Open access

Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, +26 more

6

citations
KNOWLEDGE GRAPH CONSTRUCTION FROM MATERIALS SCIENCE LITERATURE USING LARGE LANGUAGE MODELS AND ADVANCED DATA PREPROCESSING
2026 ChemRxiv preprint Materials Science Machine Learning in Materials Science Open access

Nasrin Mohammadi, Max Dreger, Diego Collarana, Mohammad J. Eslamibidgoli, Kourosh Malek, M. Eikerling

1

citations
Autism spectrum disorder classification based on interpersonal neural synchrony: Can classification be improved by dyadic neural biomarkers using unsupervised graph representation learning?
2022 arXiv (Cornell University) preprint Neuroscience Autism Spectrum Disorder Research Open access

Christian P Gerloff, Kerstin Konrad, Martin Schulte‐Rüther, Vanessa Reindl

0

citations
Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks
2025 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Xiaoyan Jiang, Bohan Wang, Hamido Fujita

0

citations
Every Component Is a Lookup: One Linear Graph for Interaction, Composition and Attribution
2026 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Po-Kai Chen, Aske Plaat, Bas van Stein

0

citations
Secure Evaluation of Knowledge Graph Merging Gain
2021 arXiv (Cornell University) preprint Computer Science Cryptography and Data Security Open access

Leandro Eichenberger, Michael Cochez, Benjamin Heitmann, Stefan Decker

0

citations
LEAN: graph-based pruning for convolutional neural networks by extracting longest chains
2020 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Richard Schoonhoven, Allard A. Hendriksen, Daniël M. Pelt, Kees Joost Batenburg

0

citations
Multi-Scale Node Embeddings for Graph Modeling and Generation
2024 RePEc: Research Papers in Economics preprint Physics and Astronomy Complex Network Analysis Techniques Open access

Diego Garlaschelli

1

citations
Structural Node Embeddings with Homomorphism Counts
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Hinrikus Wolf, Luca Oeljeklaus, Pascal Kühner, Martin Grohe

1

citations
RAwR: Role-Aware Rewiring via Approximate Equitable Partition
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Riccardo Porcedda, Giuseppe Squillace, Bastian Epping, Andrea Vandin, Michael Schaub, Mirco Tribastone, +1 more

0

citations
Evolving Hard Maximum Cut Instances for Quantum Approximate Optimization Algorithms
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Yash J. Patel, Aneta Neumann, Frank Neumann, Thomas Bäck, Hao Wang

0

citations
Dynamic Database Embeddings with FoRWaRD
2021 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Jan Toenshoff, Neta Friedman, Martin Grohe, Benny Kimelfeld

0

citations
Stable Tuple Embeddings for Dynamic Databases
2021 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Jan Toenshoff, Neta Friedman, Martin Grohe, Benny Kimelfeld

1

citations
ProcK: Machine Learning for Knowledge-Intensive Processes
2021 arXiv (Cornell University) preprint Business, Management and Accounting Business Process Modeling and Analysis Open access

Tobias Jacobs, Jingyi Yu, Julia Gastinger, Timo Sztyler

1

citations
Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation
2025 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Zhaochun Ren, Shuaiqiang Wang, Lisong Yan, Dawei Yin

0

citations
Unsupervised strategies for identifying optimal parameters in Quantum Approximate Optimization Algorithm
2022 Research Square preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Charles Moussa, Hao Wang, Thomas Bäck, Vedran Dunjko

1

citations
A C++20 Interface for MPI 4.0
2023 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access

Ali Can Demiralp, Niko Sakic, Marcel Krüger, Tim Gerrits

0

citations
Continuous Defensive Domination Problems
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Theory Research Open access

Christoph Grüne, Tom Janßen

0

citations