graph neural network - Robuta Search

https://ijai.iaescore.com/index.php/IJAI/article/view/29921/15126 Scaler enhanced deformable attention with graph neural network for video compression |... Scaler enhanced deformable attention with graph neural network for video compression graph neural network for video scaler enhanced deformable https://openreview.net/forum?id=VubrOT2sAP&referrer=%5Bthe%20profile%20of%20Chengqiang%20Lu%5D(%2Fprofile%3Fid%3D~Chengqiang_Lu1) Learning to Reweight for Generalizable Graph Neural Network | OpenReview Graph Neural Networks (GNNs) show promising results for graph tasks. However, existing GNNs' generalization ability will degrade when there exist distribution... graph neural network learning openreview https://pure.jbnu.ac.kr/en/publications/solpredictor-predicting-solubility-with-residual-gated-graph-neur-2/ SolPredictor: Predicting Solubility with Residual Gated Graph Neural Network - JBNU Researchers... graph neural network predicting solubility residual https://deepai.org/publication/significant-wave-height-prediction-based-on-wavelet-graph-neural-network Significant Wave Height Prediction based on Wavelet Graph Neural Network | DeepAI Jul 20, 2021 - 07/20/21 - Computational intelligence-based ocean characteristics forecasting applications, such as Significant Wave Height (SWH) prediction,... significant wave height graph neural network based on prediction https://ijsrmt.com/index.php/ijsrmt/article/view/1353 Graph Neural Network-Based Cross-Asset Pricing Model with Adaptive Factor Learning and Temporal... graph neural network https://www.diva-portal.org/smash/record.jsf?pid=diva2:1950518 Using Graph Neural Network to Analyze Multi-Relational Objects in Dynamic Driving Scenarios DiVA portal is a finding tool for research publications and student theses written at the following universities and research institutions. graph neural network https://openreview.net/forum?id=KUGwmnSdPV3&referrer=%5Bthe%20profile%20of%20Yixuan%20He%5D(%2Fprofile%3Fid%3D~Yixuan_He2) MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian | OpenReview We devise a novel magnetic signed Laplacian for signed directed networks and propose a GNN method based on that. graph neural network based on novel https://elmi.hbku.edu.qa/en/publications/graph-neural-network-based-node-clustering-for-dual-focused-power/ Graph Neural Network-Based Node Clustering for Dual-Focused Power Network Partitioning - Hamad Bin... graph neural network https://scholars.duke.edu/publication/1530594 Scholars@Duke publication: Robust Self-Supervised Structural Graph Neural Network for Social... graph neural network self supervised https://openreview.net/forum?id=IC7b3EQ7wB MHG-GNN: Combination of Molecular Hypergraph Grammar with Graph Neural Network | OpenReview Property prediction plays an important role in material discovery. As an initial step to eventually develop a foundation model for material science, we... graph neural network https://papers.cool/venue/517@2021@IJCAI CSGNN: Contrastive Self-Supervised Graph Neural Network for Molecular Interaction Prediction | Cool... Molecular interactions are significant resources for analyzing sophisticated biological systems. Identification of multifarious molecular interactions attracts... graph neural network self supervised https://khazna.ku.ac.ae/en/publications/a-graph-neural-network-approach-for-predicting-drug-susceptibilit/ A graph neural network approach for predicting drug susceptibility in the human microbiome -... graph neural network https://openrepository.aut.ac.nz/items/f5f2d78f-4860-4608-b69c-497c06a040d5 Graph Neural Network Based Spatial-Temporal Traffic Flow Prediction Approaches The problem of traffic flow prediction is an important topic in the research of Intelligent Transportation System (ITS). With the acceleration of urbanization,... graph neural network traffic flow based spatial temporal https://www.equitus.ai/ Equitus.AI | AI-Ready Data, Knowledge Graph Neural Network (KGNN) Platform, Imagery Analytics Unlock the power of your own data on your terms with trusted Equitus.AI solutions. Equitus KGNN enables LLMs and AI solutions with built-in explainability,... data knowledge graph ai ready https://experts.illinois.edu/en/publications/adaptive-universal-generalized-pagerank-graph-neural-network/fingerprints/?sortBy=alphabetically ADAPTIVE UNIVERSAL GENERALIZED PAGERANK GRAPH NEURAL NETWORK - Fingerprint - Illinois Experts graph neural network adaptive universal generalized pagerank https://research.nvidia.com/index.php/publication/2020-07_grannite-graph-neural-network-inference-transferable-power-estimation GRANNITE: Graph Neural Network Inference for Transferable Power Estimation | Research This paper introduces GRANNITE, a GPU-accelerated novel graph neural network (GNN) model for fast, accurate, and transferable vector-based average power... graph neural network inference transferable power estimation https://bytez.com/docs/arxiv/1811.02061/paper A Recurrent Graph Neural Network for Multi-Relational Data | Read Paper on Bytez Nov 5, 2018 - The era of data deluge has sparked the interest in graph-based learning methods in a number of disciplines such as sociology, biology, neuroscience, or... graph neural network https://arxiv.org/abs/2404.16911 [2404.16911] HEroBM: a deep equivariant graph neural network for universal backmapping from... Abstract page for arXiv paper 2404.16911: HEroBM: a deep equivariant graph neural network for universal backmapping from coarse-grained to all-atom... graph neural network https://papers.cool/venue/2024.findings-emnlp.9@ACL InsertGNN: A Hierarchical Graph Neural Network for the TOEFL Sentence Insertion Problem | Cool... The integration of sentences poses an intriguing challenge within the realm of NLP, but it has not garnered the attention it deserves. Existing methods that... graph neural network https://researchportal.ip-paris.fr/fr/publications/floor-plan-reconstruction-from-sparse-views-combining-graph-neura/ Floor Plan Reconstruction from Sparse Views: Combining Graph Neural Network with Constrained... graph neural network floor plan https://api.deepai.org/publication/todynet-temporal-dynamic-graph-neural-network-for-multivariate-time-series-classification TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classification | DeepAI Apr 11, 2023 - 04/11/23 - Multivariate time series classification (MTSC) is an important data mining task, which can be effectively solved by popular deep l... graph neural network multivariate time series https://aging.jmir.org/2024/1/e54748/ JMIR Aging - Self-Explainable Graph Neural Network for Alzheimer Disease and Related Dementias Risk... Background: Alzheimer disease and related dementias (ADRD) rank as the sixth leading cause of death in the United States, underlining the importance of...