https://papers.neurips.cc/paper_files/paper/2020/hash/61c66a2f4e6e10dc9c16ddf9d19745d6-Abstract.html
Factor Graph Neural Networks
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https://deepai.org/publication/specformer-spectral-graph-neural-networks-meet-transformers
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Mar 2, 2023 - 03/02/23 - Spectral graph neural networks (GNNs) learn graph representations via spectral-domain graph convolutions. However, most existing s...
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https://researchr.org/publication/FrijiMSCO023/related
Multi-stage Attack Detection and Prediction Using Graph Neural Networks: An IoT Feasibility Study -...
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https://researchconnect.stonybrook.edu/en/publications/wasserstein-graph-neural-networks-for-graphs-with-missing-attribu/
Wasserstein Graph Neural Networks for Graphs With Missing Attributes - Stony Brook University
graph neural networksstony brook universitywassersteingraphsmissing
https://pure.seoultech.ac.kr/en/publications/reliability-evaluation-for-wsns-based-on-deep-reinforcement-learn/
Reliability Evaluation for WSNs Based on Deep Reinforcement Learning and Graph Neural Networks -...
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https://www.ieee-jas.net/article/doi/10.1109/JAS.2026.125795?viewType=HTML&pageType=en
Distribution Network Partitioning for Voltage Regulation Using Heterogeneous Graph Neural Networks...
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https://researchwith.njit.edu/en/publications/degree-decomposition-based-explanation-for-graph-neural-networks/
DEGREE: DECOMPOSITION BASED EXPLANATION FOR GRAPH NEURAL NETWORKS - New Jersey Institute of...
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https://papers.nips.cc/paper/2020/hash/1764183ef03fc7324eb58c3842bd9a57-Abstract.html
Rethinking pooling in graph neural networks
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https://central.scec.org/publication/14197
Earthquake Rupture Dynamics From Graph Neural Networks | Statewide California Earthquake Center
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Advances in graph neural networks for alloy design and properties predictions: a review
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graph neural networksadvancesalloydesignproperties
https://openreview.net/forum?id=kJmYu3Ti2z
When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle...
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graph neural networkshelp withnodeclassificationinvestigating
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Multi-Channel Graph Neural Networks | Cool Papers - Immersive Paper Discovery
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https://scholars.duke.edu/publication/1586528
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https://cris.bgu.ac.il/en/publications/feature-transportation-improves-graph-neural-networks-2/
Feature Transportation Improves Graph Neural Networks - Ben-Gurion University Research Portal
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https://tldl.club/en/noted/67b75918c5dbad5aca1fda56
Introduction to Graph Neural Networks (Part 1) - AI Study Notes | TLDL
Study Introduction to Graph Neural Networks (Part 1) with AI-generated notes from Personal Notes. Get smart summaries, key concepts, and study materials...
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https://par.nsf.gov/biblio/10496832
Combining protein sequences and structures with transformers and equivariant graph neural networks...
This page contains metadata information for the record with PAR ID 10496832
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https://www.datacamp.com/th/tutorial/comprehensive-introduction-graph-neural-networks-gnns-tutorial
A Comprehensive Introduction to Graph Neural Networks (GNNs) | DataCamp
Learn everything about Graph Neural Networks, including what GNNs are, the different types of graph neural networks, and what they're used for. Plus, learn how...
graph neural networksintroduction tocomprehensivedatacamp
https://underline.io/lecture/70597-can-graph-neural-networks-learn-to-solve-the-maxsat-problemquestion
Can Graph Neural Networks Learn to Solve the MaxSAT Problem? | Underline
On-demand video platform giving you access to lectures from conferences worldwide.
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https://impact.ornl.gov/en/publications/extensive-attention-mechanisms-in-graph-neural-networks-for-mater/
Extensive Attention Mechanisms in Graph Neural Networks for Materials Discovery - Oak Ridge...
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https://publikationen.bibliothek.kit.edu/1000182795
Augmented Pre-trained Graph Neural Networks for Grid-Supportiv...
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https://www.ijcai.org/proceedings/2022/482
Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks | IJCAI
Electronic proceedings of IJCAI 2022
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Equivariant Graph Neural Networks for Toxicity Prediction - PMC
Predictive modeling of toxicity is a crucial step in the drug discovery pipeline. It can help filter out molecules with a high probability of failing in the...
graph neural networkstoxicitypredictionpmc
https://indico.nikhef.nl/event/4875/contributions/20268/
EuCAIFCon 2024 (April 30, 2024 - May 3, 2024): Graph Neural Networks for charged-particle track...
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https://housingscience.org/volume-46-issue-4/entity-relationship-extraction-from-legal-texts-based-on-graph-neural-networks/
Entity Relationship Extraction from Legal Texts Based on Graph Neural Networks - IJHSA
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https://arxiv.org/abs/2211.07823
[2211.07823] Graph Neural Networks for Causal Inference Under Network Confounding
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https://github.com/tech-srl/bottleneck/
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https://scholar.xjtu.edu.cn/zh/publications/fine-tuning-graph-neural-networks-via-active-learning-unlocking-t/
Fine-Tuning Graph Neural Networks via Active Learning: Unlocking the Potential of Graph Neural...
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Data reconstruction and classification with graph neural networks in KM3NeT/ARCA6-8 - Fingerprint -...
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https://bytez.com/docs/arxiv/1811.00210/paper
Online Planner Selection with Graph Neural Networks and Adaptive Scheduling | Read Paper on Bytez
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Bridging theory and practice in link representation with Graph Neural Networks
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Graph Neural Networks for seismicity detection and location. An application to the Kumamoto...
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https://aaltodoc.aalto.fi/items/81ed96d0-90b1-4deb-a7e2-46eaf739799f
Temporal social network modeling of mobile connectivity data with graph neural networks
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https://chatpaper.com/pt/paper/5472?from=subpath-venues
Graph Neural Networks for Learning Equivariant Representations of Neural Networks
We propose graph neural networks that learn permutation equivariant representations of other neural networks
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https://cris.upc.edu.pe/es/publications/facial-gesture-detection-for-individuals-with-reduced-hand-mobili/
Facial Gesture Detection for Individuals with Reduced Hand Mobility Using Graph Neural Networks -...
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https://uwaterloo.ca/applied-mathematics/events/masters-thesis-defence-omer-ege-kara-enabling-layer
Master's Thesis Defence | Omer Ege Kara, On Enabling Layer-Parallelism for Graph Neural Networks...
MC 4058 and Zoom (please contact amgrad@uwaterloo.ca for meeting link)
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https://collaborate.princeton.edu/en/publications/graph-neural-networks-for-charged-particle-tracking-on-fpgas/
Graph Neural Networks for Charged Particle Tracking on FPGAs - Princeton University
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https://ucalgary.scholaris.ca/items/7a5d1739-9d5e-43e6-b1a7-3b53c3293b45/full
Simultaneous Shape, Size, and Topology Optimization of Truss Structures Using Graph Neural Networks...
This study presents a unified framework for the analysis and optimization of truss structures through the integration of Graph Neural Networks (GNNs) and...
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https://repository.londonmet.ac.uk/11295/
Perfumer optimization - enhanced graph neural networks for efficient and accurate COVID-19 risk...
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https://www.theengineeringprojects.com/2023/09/graph-neural-networks-definition-types-applications.html
Graph Neural Networks: Definition, Types, Applications - The Engineering Projects
Today, we will have a detailed Introduction to Graph Neural Networks i.e. what is its Definition, Types, Applications etc.
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https://www.diag.uniroma1.it/node/27600
Seminar on Graph Neural Networks for temporal graphs: State of the art, open challenges, and...
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https://researchwith.stevens.edu/en/publications/revisiting-black-box-ownership-verification-for-graph-neural-netw/fingerprints/
Revisiting Black-box Ownership Verification for Graph Neural Networks - Fingerprint - Stevens...
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https://journals.mriindia.com/index.php/ijacect/article/view/1969
Deep Learning and Optimization Approaches in Similarity-Navigated Graph Neural Networks and...
Mobile Ad Hoc Networks (MANETs) are decentralized and infrastructure-less wireless networks that enable dynamic communication among mobile nodes. However,...
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https://research.tilburguniversity.edu/en/publications/agile-issues-resolution-with-graph-neural-networks-and-erthogonal/
Agile issues resolution with graph neural networks and erthogonal arrays - Tilburg University...
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https://researchportal.vub.be/nl/publications/graph-neural-networks-for-low-energy-event-classification-amp-rec/
Graph Neural Networks for Low-Energy Event Classification & Reconstruction in IceCube - Vrije...
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https://research-hub.nlr.gov/en/publications/physics-informed-graph-neural-networks-for-collaborative-dynamic-/
Physics-Informed Graph Neural Networks for Collaborative Dynamic Reconfiguration and Voltage...
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https://diversedaily.com/graph-neural-networks-for-graph-classification-architectures-and-applications/
Graph Neural Networks for Graph Classification: Architectures and Applications
May 23, 2024 - Explore the power and potential of Graph Neural Networks (GNNs) in analyzing graph-structured data across various fields such as social networks, molecular...
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https://scienmag.com/tag/biologically-informed-graph-neural-networks/
biologically informed graph neural networks | Science
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https://indico.cern.ch/event/1128328/contributions/4900740/
Mini-workshop on Graph Neural Networks for Tracking (June 3, 2022): BESIII track finding algorithm...
Graph networks show great promise for HEP tracking on detectors ranging from silicon trackers to LAr TPCs. As the demonstrators are applied to increasingly...
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https://researchers.westernsydney.edu.au/en/publications/graph-neural-networks-in-building-lifecycle-a-review/
Graph neural networks in building lifecycle : a review - Western Sydney University
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https://www.techscience.com/cmc/v74n3/50920/pdf
CMC | Identification of Anomaly Scenes in Videos Using Graph Neural Networks
Generally, conventional methods for anomaly detection rely on clustering, proximity, or classification. With the massive growth in surveillance videos,...
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https://globalnetworkawards.com/sayyed-majid-mazinani-graph-neural-networks-best-researcher-award-3025/
Graph Neural Networks, GNN Research, Deep Learning Award, GNN Scientist, GNN Achievement
Graph Neural Networks - The Graph Neural Networks (GNN) Award celebrates groundbreaking research and practical applications in graph-based deep learning. Open...
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https://proceedings.mlr.press/v202/guo23i.html
Graph Neural Networks with Learnable and Optimal Polynomial Bases
Jul 3, 2023 - Graph Neural Networks with Learnable and Optimal Polynomial BasesYuhe Guo, Zhewei WeiPolynomial filters, a kind of Graph Neural Networks, typically use ...
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