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https://openreview.net/forum?id=TmKQ_XeezEB Automorphic Equivalence-aware Graph Neural Network | OpenReview We propose a novel GNN model that levearges the concept of automorphic equivlance to provably improve its expressiveness in capturing structural feature. graph neural network automorphic equivalence aware openreview https://www.amazon.science/publications/page-link-path-based-graph-neural-network-explanation-for-heterogeneous-link-prediction PaGE-Link: Path-based graph neural network explanation for heterogeneous link prediction - Amazon... Transparency and accountability have become major concerns for black-box machine learning (ML) models. Proper explanations for the model behavior increase... graph neural network page link https://arxiv.org/abs/2310.04878 [2310.04878] Hybrid Recommendation System using Graph Neural Network and BERT Embeddings Abstract page for arXiv paper 2310.04878: Hybrid Recommendation System using Graph Neural Network and BERT Embeddings graph neural network recommendation system https://arxiv.org/abs/2308.00890v2 [2308.00890v2] Tango: rethinking quantization for graph neural network training on GPUs Abstract page for arXiv paper 2308.00890v2: Tango: rethinking quantization for graph neural network training on GPUs graph neural network https://arxiv.org/html/2505.03424v1 Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense graph neural network framework gnn aid analysis https://easychair.org/publications/preprint/Mhzl Comparative Study of Inductive Graph Neural Network Models for Text Classification graph neural network comparative study inductive https://www.miragenews.com/new-method-boosts-graph-neural-network-accuracy-1654341/ New Method Boosts Graph Neural Network Accuracy | Mirage News Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs) - AI systems used in graph neural network new method boosts accuracy mirage https://openreview.net/forum?id=seYcx6CqPe Template based Graph Neural Network with Optimal Transport Distances | OpenReview A novel graph embedding method resulting from Optimal Transport distances to some graph templates learnt in an end-to-end manner and leading to new SOTA... graph neural network optimal transport template based distances https://openreview.net/forum?id=VKt0K3iOmO Spiking Graph Neural Network on Riemannian Manifolds | OpenReview Graph neural networks (GNNs) have become the dominant solution for learning on graphs, the typical non-Euclidean structures. Conventional GNNs, constructed... graph neural network riemannian manifolds spiking openreview 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 hypergraph grammar https://www.frontiersin.org/journals/environmental-engineering/articles/10.3389/fenve.2025.1488965/full Frontiers | Graph neural network-based water contamination detection from community housing... Introduction: Detecting water contamination in community housing is crucial for protecting public health. Early detection enables timely action to prevent wa... graph neural network water contamination frontiers based https://openreview.net/forum?id=NRnS6CtbaN Vertical Federated Graph Neural Network for Recommender System | OpenReview Conventional recommender systems are required to train the recommendation model using a centralized database. However, due to data privacy concerns, this is... graph neural network recommender system vertical federated openreview https://openreview.net/forum?id=rdgB5BqWCw Predictive Uncertainty Quantification for Graph Neural Network Driven Relaxed Energy Calculations |... Graph neural networks (GNNs) have been shown to be astonishingly capable models for molecular property prediction, particularly as surrogates for expensive... graph neural network uncertainty quantification predictive https://deepai.org/publication/graph-neural-network-enhanced-approximate-message-passing-for-mimo-detection Graph Neural Network Enhanced Approximate Message Passing for MIMO Detection | DeepAI May 21, 2022 - 05/21/22 - Efficient multiple-input multiple-output (MIMO) detection algorithms with satisfactory performance and low complexity are critical... graph neural network message passing enhanced approximate https://arxiv.org/abs/2501.06002v1 [2501.06002v1] DeltaGNN: Graph Neural Network with Information Flow Control Abstract page for arXiv paper 2501.06002v1: DeltaGNN: Graph Neural Network with Information Flow Control graph neural network information flow 2501 control https://www.amazon.science/code-and-datasets/real-time-fraud-detection-with-graph-neural-network-on-dgl Real-time fraud detection with graph neural network on DGL - Amazon Science It's an end-to-end blueprint architecture for real-time fraud detection using graph database Amazon Neptune, Amazon SageMaker and Deep Graph Library (DGL) to... graph neural network real time fraud detection https://www.mdpi.com/1424-8220/22/3/1030 A Graph Neural Network Based Decentralized Learning Scheme As an emerging paradigm considering data privacy and transmission efficiency, decentralized learning aims to acquire a global model using the training data... graph neural network based decentralized learning scheme https://www.preprints.org/manuscript/202508.1902 Graph Neural Network and Temporal Sequence Integration for AI-Powered Financial Compliance... Paper proposes a compliance anomaly detection algorithm for financial transaction data, addressing the challenges of behavioral complexity, structural... graph neural network https://arxiv.org/abs/2412.01297 [2412.01297] Morphological-Symmetry-Equivariant Heterogeneous Graph Neural Network for Robotic... Abstract page for arXiv paper 2412.01297: Morphological-Symmetry-Equivariant Heterogeneous Graph Neural Network for Robotic Dynamics Learning graph neural network 2412 01297 morphological symmetry https://www.mathworks.com/help/pde/ug/solve-heat-equation-using-graph-neural-network.html Solve Heat Equation Using Graph Neural Network - MATLAB & Simulink Solve a heat equation with using a graph neural network (GNN). graph neural network heat equation solve using matlab https://deepai.org/publication/gat-cobo-cost-sensitive-graph-neural-network-for-telecom-fraud-detection GAT-COBO: Cost-Sensitive Graph Neural Network for Telecom Fraud Detection | DeepAI Mar 29, 2023 - 03/29/23 - Along with the rapid evolution of mobile communication technologies, such as 5G, there has been a drastically increase in telecom ... graph neural network https://openreview.net/forum?id=O7msz8Ou7o Collaboration-Aware Graph Neural Network for Recommender Systems | OpenReview Graph Neural Networks (GNNs) have been successfully adopted in recommendation systems by virtue of the message-passing that implicitly captures collaborative... graph neural network recommender systems collaboration aware openreview https://openreview.net/forum?id=JCKkum1Qye Graph Neural Network Generalization With Gaussian Mixture Model Based Augmentation | OpenReview Graph Neural Networks (GNNs) have shown great promise in tasks like node and graph classification, but they often struggle to generalize, particularly to... graph neural network gaussian mixture model generalization https://arxiv.org/abs/2202.04822 [2202.04822] Survey on Graph Neural Network Acceleration: An Algorithmic Perspective Abstract page for arXiv paper 2202.04822: Survey on Graph Neural Network Acceleration: An Algorithmic Perspective graph neural network 2202 04822 survey 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://www.mdpi.com/1999-5903/16/4/116 Performance Evaluation of Graph Neural Network-Based RouteNet Model with Attention Mechanism Graph representation is recognized as an efficient method for modeling networks, precisely illustrating intricate, dynamic interactions within various entities... graph neural network performance evaluation https://deepai.org/publication/extreme-acceleration-of-graph-neural-network-based-prediction-models-for-quantum-chemistry Extreme Acceleration of Graph Neural Network-based Prediction Models for Quantum Chemistry | DeepAI Nov 25, 2022 - 11/25/22 - Molecular property calculations are the bedrock of chemical physics. High-fidelity ab initio modeling techniques for computing the... graph neural network 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://openreview.net/forum?id=2pAigTVASA&referrer=%5Bthe%20profile%20of%20Yue%20Song%5D(%2Fprofile%3Fid%3D~Yue_Song1) Morphological-Symmetry-Equivariant Heterogeneous Graph Neural Network for Robotic Dynamics Learning... We present a morphological-symmetry-equivariant heterogeneous graph neural network (MS-HGNN) for robotic dynamics learning. MS-HGNN unifies robotic kinematic... graph neural network morphological symmetry equivariant heterogeneous https://www.slb.com/zh-cn/resource-library/technical-paper/di/spe-223907-ms Coupled Graph Neural Network and Fourier Neural Operator Architecture for Ensemble Workflows in 3D... A novel machine learning architecture combining Graph Neural Networks and Fourier Neural Operators to predict pressures, saturations, and well outputs in 3D... 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://www.diva-portal.org/smash/record.jsf?pid=diva2%3A1950518 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://arxiv.org/abs/2008.12473v1 [2008.12473v1] Pre-training of Graph Neural Network for Modeling Effects of Mutations on... Abstract page for arXiv paper 2008.12473v1: Pre-training of Graph Neural Network for Modeling Effects of Mutations on Protein-Protein Binding Affinity 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://deepai.org/publication/graph-neural-network-bandits Graph Neural Network Bandits | DeepAI Jul 13, 2022 - 07/13/22 - We consider the bandit optimization problem with the reward function defined over graph-structured data. This problem has import... graph neural network bandits deepai 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://arxiv.org/abs/1912.01181v1 [1912.01181v1] Multi-resolution Graph Neural Network for Identifying Disease-specific Variations in... Abstract page for arXiv paper 1912.01181v1: Multi-resolution Graph Neural Network for Identifying Disease-specific Variations in Brain Connectivity graph neural network https://www.preprints.org/manuscript/202409.2376 Graph Neural Network for Daily Supply Chain Problems[v1] | Preprints.org In this paper, we explore the theoretical foundation of Graph Neural Network (GNN) model and apply it to various traditional supply chain logistics problem. In... graph neural network supply chain daily https://www.preprints.org/manuscript/202506.2249 Graph Neural Network Enhanced Sequential Recommendation Method for Cross-Platform Ad Campaign[v1] |... In order to improve the accuracy of cross-platform advertisement recommendation, a graph neural network (GNN)-based advertisement recommendation method is... graph neural network https://www.preprints.org/manuscript/202405.0101 Coupling Fault Diagnosis Based on Dynamic Vertex Interpretable Graph Neural Network[v1] |... Mechanical equipment is composed of several parts, the interaction between the parts exists throughout whole life cycle leads to the widespread phenomenon of... graph neural network fault diagnosis based on https://deepai.org/publication/attention-based-graph-neural-network-for-semi-supervised-learning Attention-based Graph Neural Network for Semi-supervised Learning | DeepAI Mar 10, 2018 - 03/10/18 - Recently popularized graph neural networks achieve the state-of-the-art accuracy on a number of standard benchmark datasets for gr... graph neural network semi supervised learning attention based deepai https://arxiv.org/abs/2107.13059v1 [2107.13059v1] Explicit Pairwise Factorized Graph Neural Network for Semi-Supervised Node... Abstract page for arXiv paper 2107.13059v1: Explicit Pairwise Factorized Graph Neural Network for Semi-Supervised Node Classification graph neural network https://www.easychair.org/publications/preprint/GZFG Multi-Scale Directed Graph Convolution Neural Network for Node Classification Task multi scale directed graph neural network convolution https://neo4j.com/blog/twin4j/this-week-in-neo4j-realworld-io-example-in-go-graph-neural-network-to-approximate-network-centralities-zoom-calls-graph/ This Week in Neo4j - Realworld.io example in Go, Graph Neural Network to approximate Network... Apr 25, 2025 - Discover what's new in the Neo4j community for the week of 7 November 2020, including the start of NODES 2020 Extended.