Robuta

https://aei.ewapub.com/article/view/20827 Multimodal fake news detection using graph neural networks and attention mechanisms The rapid spread of fake news across digital platforms poses a significant challenge to societies, leading to a growing demand for robust detection mechanisms.... fake news detectiongraph neural networksmultimodalusing https://epjc.epj.org/articles/epjc/abs/2021/05/10052_2021_Article_9158/10052_2021_Article_9158.html MLPF: efficient machine-learned particle-flow reconstruction using graph neural networks | The... The European Physical Journal C (EPJ C) presents new and original research results in theoretical physics and experimental physics graph neural networks https://scholar.hit.edu.cn/en/publications/graph-neural-networks-for-quality-of-service-improvement-in-inter/ Graph Neural Networks for Quality of Service Improvement in Interference-Limited Ultra-Reliable and... graph neural networks https://arxiv.org/abs/2310.15865v1 [2310.15865v1] Using Causality-Aware Graph Neural Networks to Predict Temporal Centralities in... Abstract page for arXiv paper 2310.15865v1: Using Causality-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs graph neural networks https://repositum.tuwien.at/handle/20.500.12708/193202 reposiTUm: Graph Neural Networks for Metagenomic Binning graph neural networksmetagenomicbinning https://openreview.net/forum?id=homn1jOKI5 Conformal Inductive Graph Neural Networks | OpenReview Conformal prediction (CP) transforms any model's output into prediction sets guaranteed to include (cover) the true label. CP requires exchangeability, a... graph neural networksconformalinductiveopenreview https://aigloballab.com/expressive-power-of-graph-neural-networks-and-the-weisfeiler-lehman-test/ Expressive power of graph neural networks and the Weisfeiler-Lehman test | AIGlobalLabAIGlobalLab graph neural networks https://www.datacamp.com/zh/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 networkscomprehensiveintroductiondatacamp https://deepnn.science/category/54/graph-neural-networks Graph Neural Networks | deepnn.science graph neural networksscience https://nauen-it.de/publications/bachelor-thesis-gnns/ Explaining Graph Neural Networks | Tobias Nauen May 2, 2026 - We extend and test KEdge, an interpretable-by-design approach for graph neural networks, and compare it to gradient-based attribution techniques. graph neural networksexplainingtobiasnauen https://deepai.org/publication/deep-iterative-and-adaptive-learning-for-graph-neural-networks Deep Iterative and Adaptive Learning for Graph Neural Networks | DeepAI Dec 17, 2019 - 12/17/19 - In this paper, we propose an end-to-end graph learning framework, namely Deep Iterative and Adaptive Learning for Graph Neural Net... graph neural networksadaptive learningdeepiterative https://auto.economictimes.indiatimes.com/tag/graph+neural+networks Graph neural networks - Latest graph neural networks , Information & Updates - Auto -ET Auto ETAuto.com brings latest graph neural networks news, views and updates from all top sources for the Indian Auto industry. graph neural networkslatest informationupdatesauto https://arxiv.org/abs/2209.14107v1 [2209.14107v1] Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure Abstract page for arXiv paper 2209.14107v1: Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure graph neural networksdebiasing https://deepmind.google/blog/traffic-prediction-with-advanced-graph-neural-networks/ Traffic prediction with advanced Graph Neural Networks — Google DeepMind graph neural networkstrafficpredictionadvancedgoogle https://openreview.net/forum?id=HJlWWJSFDH Strategies for Pre-training Graph Neural Networks | OpenReview We develop a strategy for pre-training Graph Neural Networks (GNNs) and systematically study its effectiveness on multiple datasets, GNN architectures, and... graph neural networkspre trainingstrategiesopenreview https://keras.io/examples/timeseries/timeseries_traffic_forecasting/ Traffic forecasting using graph neural networks and LSTM Keras documentation: Traffic forecasting using graph neural networks and LSTM graph neural networkstrafficforecastingusinglstm https://journals.flvc.org/FLAIRS/article/view/141615/147196 View of Explainable Hierarchical Graph Neural Networks for Structured Decision Modeling graph neural networksviewexplainablehierarchical https://pure.ul.ie/en/publications/compact-amp-capable-harnessing-graph-neural-networks-and-edge-con-2/ Compact & Capable: Harnessing Graph Neural Networks and Edge Convolution for Medical Image... graph neural networks https://chatpaper.com/fr/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 graph neural networksfor learningrepresentations https://www.climatechange.ai/papers/neurips2019/1 Warm-Starting AC Optimal Power Flow with Graph Neural Networks | Climate Change AI Climate Change AI - NeurIPS 2019 Accepted Work graph neural networks https://ijra.iaescore.com/index.php/IJRA/article/view/20826/13241 A hybrid transformer-graph neural networks framework for enhanced physical activity recognition and... A hybrid transformer-graph neural networks framework for enhanced physical activity recognition and sedentary behavior analysis graph neural networks https://www.amazon.science/publications/combinatorial-optimization-with-physics-inspired-graph-neural-networks Combinatorial optimization with physics-inspired graph neural networks - Amazon Science Combinatorial optimization problems are pervasive across science and industry. Modern deep learning tools are poised to solve these problems at unprecedented... graph neural networkscombinatorial optimizationphysicsinspiredamazon https://blogs.nvidia.com/blog/what-are-graph-neural-networks/?nv_excludes=60387,60390 What Are Graph Neural Networks? | NVIDIA Blogs Nov 1, 2022 - Graph neural networks (GNNs) apply the predictive power of deep learning to rich data structures that depict objects and their relationships as points... graph neural networkswhat arenvidiablogs https://www.kth.se/eecs/kalender/on-the-adversarial-robustness-of-graph-neural-networks-1.1466748?date=2026-04-23&orgdate=2026-04-22&length=1&orglength=0 On the Adversarial Robustness of Graph Neural Networks | KTH graph neural networkson theadversarialrobustnesskth https://2023.midl.io/papers/p126 Calibration techniques for node classification using graph neural networks on medical image data |... Medical Imaging with Deep Learning conference 2023 graph neural networks https://pure.ecnu.edu.cn/en/publications/temporal-augmented-graph-neural-networks-for-session-based-recomm/ Temporal Augmented Graph Neural Networks for Session-Based Recommendations - East China Normal... graph neural networks https://scipapermill.com/tag/graph-neural-networks-gnns/ graph neural networks (gnns) Archives - SciPapermill graph neural networksarchives https://openaccess.city.ac.uk/id/eprint/33205/ City Research Online - Initial estimate of AC optimal power flow with graph neural networks https://thinkshell.fr/library/using-graph-neural-networks-to-approximate-mechanical-response-on-3d-lattice-structures-ross-et-al/ Using Graph Neural Networks to Approximate Mechanical Response on 3D Lattice Structures - Ross et... Apr 19, 2021 - Authors E. Ross, D. Hambleton Abstract The promise of computer aided manufacturing (CAM) is to make materializable structures that could not be fabricated... https://www.ndss-symposium.org/ndss-paper/vigtext-deepfake-image-detection-with-vision-language-model-explanations-and-graph-neural-networks/ ViGText: Deepfake Image Detection with Vision-Language Model Explanations and Graph Neural Networks... vision language model https://www.ijimai.org/index.php/ijimai/article/view/863/922 View of PRESTO: A Recommender of Musical Collaborations Based on Heterogeneous Graph Neural Networks https://researchers.mq.edu.au/en/publications/graph-structure-reshaping-against-adversarial-attacks-on-graph-ne/ Graph structure reshaping against adversarial attacks on Graph Neural Networks - Macquarie... adversarial attacksneural networksgraphstructurereshaping https://openreview.net/forum?id=kOu3-S3wJ7 Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks | OpenReview Dealing with missing values and incomplete time series is a labor-intensive, tedious, inevitable task when handling data coming from real-world applications.... https://par.nsf.gov/biblio/10529101-rethinking-benefits-steerable-features-equivariant-graph-neural-networks RETHINKING THE BENEFITS OF STEERABLE FEATURES IN 3D EQUIVARIANT GRAPH NEURAL NETWORKS | NSF Public... This page contains metadata information for the record with PAR ID 10529101 https://www.mdpi.com/journal/mathematics/special_issues/WC2V168655 Mathematics | Special Issue : Intelligent Perception Computing and Graph Neural Networks:... Mathematics, an international, peer-reviewed Open Access journal. special issueintelligent perceptionmathematicscomputinggraph https://arxiv.org/abs/2506.11869 [2506.11869] How do Probabilistic Graphical Models and Graph Neural Networks Look at Network Data? Abstract page for arXiv paper 2506.11869: How do Probabilistic Graphical Models and Graph Neural Networks Look at Network Data? https://papers.neurips.cc/paper_files/paper/2020/hash/12bcd658ef0a540cabc36cdf2b1046fd-Abstract.html Graphon Neural Networks and the Transferability of Graph Neural Networks neural networksand thegraphontransferability https://gdr-iasis.cnrs.fr/kiosque/phd-3d-skeleton-based-human-exercise-analysis-with-graph-neural-networks-msca-cofund-seed-doctoral-program/ [PhD] 3D skeleton-based human exercise analysis with graph neural networks - MSCA Cofund SEED... Mar 4, 2025 - A PhD position is available in IMT Atlantique, Brest campus, France, team RAMBO (https://www.imt-atlantique.fr/en/research-innovation/teams/rambo) in the... https://proceedings.iclr.cc/paper_files/paper/2024/hash/34293d684b1012ed45c3274b4a7edc00-Abstract-Conference.html Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks towardsrobustfidelityevaluatingexplainability https://arxiv.org/abs/1810.07988 [1810.07988] Pileup mitigation at the Large Hadron Collider with Graph Neural Networks Abstract page for arXiv paper 1810.07988: Pileup mitigation at the Large Hadron Collider with Graph Neural Networks large hadron collider https://www.kth.se/en/om/upptack/kalender/enabling-enterprise-live-video-streaming-with-reinforcement-learning-and-graph-neural-networks-1.1204607 Enabling Enterprise Live Video Streaming with Reinforcement Learning and Graph Neural Networks | KTH live video streaming https://veronicalachi.github.io/ Veronica Lachi | Researcher in Graph Neural Networks Academic website of Veronica Lachi, Researcher at FBK and UiT. Specializing in Graph Neural Networks, Temporal Graphs, and Expressivity. veronicalachiresearchergraphneural https://zenn.dev/hash_yuki/articles/98525a20727c1a Graph Neural Networks graphneuralnetworks https://www.catalyzex.com/paper/gnss-positioning-using-cost-function GNSS Positioning using Cost Function Regulated Multilateration and Graph Neural Networks GNSS Positioning using Cost Function Regulated Multilateration and Graph Neural Networks: Paper and Code. In urban environments, where line-of-sight signals... gnss positioningcost functionusing https://www.bigai.ai/blog/2022/10/11/labeling-trick-a-theory-of-using-graph-neural-networks-for-multi-node-representation-learning/ Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning -... https://papers.nips.cc/paper_files/paper/2020/file/61c66a2f4e6e10dc9c16ddf9d19745d6-Review.html Review for NeurIPS paper: Factor Graph Neural Networks neurips paperreviewfactorgraphneural https://researchwith.njit.edu/en/publications/a-unified-view-on-graph-neural-networks-as-graph-signal-denoising/ A Unified View on Graph Neural Networks as Graph Signal Denoising - New Jersey Institute of... https://cordis.europa.eu/project/id/800578/it Knowledge graph completion using Artificial Neural Networks for Herb-Drug Interaction discovery |... With the growing popularity of herbal drugs an increasing number of scientific studies report information about herb-drug interactions that can significantly... artificial neural networksknowledge graph