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The Evolution of Distributed Systems for Graph Neural Networks and Their Origin in Graph Processing and Deep Learning: A Survey
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Graph Mining Applications to Social Network Analysis
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Sequential and Parallel Algorithms and Data Structures: The Basic Toolbox
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AutoGraph: Automated Graph Neural Network
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Graph Representation Learning
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Catalogue of Artificial Intelligence Tools
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Large scale graph processing systems: survey and an experimental evaluation
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A Survey on Graph Processing Accelerators: Challenges and Opportunities
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Graph neural networks: A review of methods and applications
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Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting
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Communication optimization strategies for distributed deep neural network training: A survey
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Graph kernels for chemical informatics
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Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network
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Automating the Construction of Internet Portals with Machine Learning
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Graph theory and networks in Biology
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Community structure in social and biological networks
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Near linear time algorithm to detect community structures in large-scale networks
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Artificial neural networks: a tutorial
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30 years of adaptive neural networks: perceptron, Madaline, and backpropagation
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Hardware Acceleration of Large Scale GCN Inference
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SuperGlue: Learning Feature Matching With Graph Neural Networks
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DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs
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Optimized route network graph as map reference for autonomous cars operating on German autobahn
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ADWISE: Adaptive Window-Based Streaming Edge Partitioning for High-Speed Graph Processing
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Out-of-Core Edge Partitioning at Linear Run-Time
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Partitioner Selection with EASE to Optimize Distributed Graph Processing
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Learning Graph Distances with Message Passing Neural Networks
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SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization
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Graph processing on GPUs: Where are the bottlenecks?
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A new model for learning in graph domains
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Rabbit Order: Just-in-Time Parallel Reordering for Fast Graph Analysis
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CuSP: A Customizable Streaming Edge Partitioner for Distributed Graph Analytics
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A Quantitative Survey of Communication Optimizations in Distributed Deep Learning
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A Quick Survey on Large Scale Distributed Deep Learning Systems
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Multilevel Algorithms for Multi-Constraint Graph Partitioning
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FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems
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GRIP: A Graph Neural Network Accelerator Architecture
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Rubik: A Hierarchical Architecture for Efficient Graph Neural Network Training
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High-Level Programming Abstractions for Distributed Graph Processing
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Deep Learning on Graphs: A Survey
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The Graph Neural Network Model
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A Comprehensive Survey on Graph Neural Networks
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Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis
inferredcites →https://doi.org/10.1137/0201010openalex-snapshot
Depth-First Search and Linear Graph Algorithms
inferredcites →https://doi.org/10.1137/1.9781611975499.17openalex-snapshot
Scalable Edge Partitioning
inferredcites →https://doi.org/10.1137/s1064827595287997openalex-snapshot
A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs
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Graph pattern matching revised for social network analysis
inferredcites →https://doi.org/10.1145/2339530.2339722openalex-snapshot
Streaming graph partitioning for large distributed graphs
inferredcites →https://doi.org/10.1145/2858788.2688508openalex-snapshot
SYNC or ASYNC: time to fuse for distributed graph-parallel computation
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Speedup Graph Processing by Graph Ordering
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1145/3183713.3196918openalex-snapshot
Adaptive Asynchronous Parallelization of Graph Algorithms
inferredcites →https://doi.org/10.1145/3219819.3219890openalex-snapshot
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
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Scheduling multithreaded computations by work stealing
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Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks
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AliGraph: A Comprehensive Graph Neural Network Platform
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Experimental Analysis of Streaming Algorithms for Graph Partitioning
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Graph Neural Networks for Social Recommendation
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Demystifying Parallel and Distributed Deep Learning
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Scalable Deep Learning on Distributed Infrastructures
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MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding
inferredcites →https://doi.org/10.1145/3387904.3389268openalex-snapshot
Improved Code Summarization via a Graph Neural Network
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Towards Deeper Graph Neural Networks
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Redundancy-Free Computation for Graph Neural Networks
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Streaming Graph Neural Networks
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MGNN: A Multimodal Graph Neural Network for Predicting the Survival of Cancer Patients
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Adaptive Asynchronous Parallelization of Graph Algorithms
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SDG: A Simplified and Dynamic Graph Neural Network
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Is Network the Bottleneck of Distributed Training?
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Hybrid Edge Partitioner: Partitioning Large Power-Law Graphs under Memory Constraints
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APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding
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Scalable Graph Neural Network Training
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Computing Graph Neural Networks: A Survey from Algorithms to Accelerators
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Flexible application-aware approximation for modern distributed graph processing frameworks
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A Bridging Model for Parallel Computation
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A graph-based recommender system for digital library
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An analysis of the graph processing landscape
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A Stochastic Approximation Method
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From "think like a vertex" to "think like a graph"
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Streaming graph partitioning
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A study of partitioning policies for graph analytics on large-scale distributed platforms
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Distributed edge partitioning for trillion-edge graphs
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Hypergraph Neural Networks
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Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting
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Graph Convolutional Networks for Text Classification
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Collective Classification in Network Data
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Quantization in Graph Convolutional Neural Networks
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Graph Neural Architecture Search
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The Stanford CoreNLP Natural Language Processing Toolkit
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ACTIVATION FUNCTIONS IN NEURAL NETWORKS
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Representation Learning on Graphs: Methods and Applications
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Residual Gated Graph ConvNets
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Fast Graph Representation Learning with PyTorch Geometric
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Learning Cross-Domain Representation with Multi-Graph Neural Network
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GraphSAINT: Graph Sampling Based Inductive Learning Method
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Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks
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PyTorch: An Imperative Style, High-Performance Deep Learning Library
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AGL: a Scalable System for Industrial-purpose Graph Machine Learning
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Communication-Efficient Distributed Deep Learning: A Comprehensive Survey
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Open Graph Benchmark: Datasets for Machine Learning on Graphs
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Machine Learning on Graphs: A Model and Comprehensive Taxonomy
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Language Models are Few-Shot Learners
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DeeperGCN: All You Need to Train Deeper GCNs
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Temporal Graph Networks for Deep Learning on Dynamic Graphs
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Degree-Quant: Quantization-Aware Training for Graph Neural Networks
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Learned Low Precision Graph Neural Networks
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OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
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DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks
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ZIPPER: Exploiting Tile- and Operator-level Parallelism for General and Scalable Graph Neural Network Acceleration
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VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization
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BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing
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Efficient Graph Neural Network Inference at Large Scale
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Formal Semantics for Kolmogorov-Arnold Network Representations of Operational Games
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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LWDiffusion: Node role detection in complex networks via legendre wavelet diffusion model
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Adaptive graph contrastive learning with hard negative mining for multimodal hyperspectral and LiDAR classification
inferred← citeshttps://doi.org/10.1016/j.jpha.2025.101271openalex-snapshot
Artificial intelligence guided Raman spectroscopy in biomedicine: Applications and prospects
inferred← citeshttps://doi.org/10.1016/j.procs.2024.10.088openalex-snapshot
Network Information Big Data Analysis Platform Based on Deep Learning Technology
inferred← citeshttps://doi.org/10.1016/j.rineng.2026.112078openalex-snapshot
A topology-guided, training-free framework for semantic segmentation of highway bridge structures and traffic-flow point clouds
inferred← citeshttps://doi.org/10.1016/j.scico.2025.103433openalex-snapshot
MulAD: A log-based anomaly detection approach for distributed systems using multi-pattern and multi-model fusion
inferred← citeshttps://doi.org/10.1038/s41598-026-63525-9openalex-snapshot
Temporal-spatial reasoning over hypergraph knowledge structures for multimodal retrieval-augmented generation
inferred← citeshttps://doi.org/10.1038/s42256-025-01141-4openalex-snapshot
Reusability report: A distributed strategy for solving combinatorial optimization problems with hypergraph neural networks
inferred← citeshttps://doi.org/10.1088/2516-1091/ae4e74openalex-snapshot
Trustworthy AI in digital health: a comprehensive review of robustness and explainability
inferred← citeshttps://doi.org/10.1093/insilicoplants/diag014openalex-snapshot
Ensembles of graph attention networks supervised by genotype-to-phenotype structures improved genomic prediction performance
inferred← citeshttps://doi.org/10.1109/access.2024.3514306openalex-snapshot
The Talent Cultivation Model of Study Travel Majors in Universities Based on the Internet of Things and Deep Learning
inferred← citeshttps://doi.org/10.1109/ccdc69976.2026.11560540openalex-snapshot
Multi-Scale Hybrid Graph Neural Network for Multi-Variable Time Series Imputation
inferred← citeshttps://doi.org/10.1109/ccsb66722.2025.11154328openalex-snapshot
Graph Contrastive Learning Recommendation Method Based on External Attention and Singu-lar Value Decomposition
inferred← citeshttps://doi.org/10.1109/cvidl65390.2025.11085935openalex-snapshot
Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems
inferred← citeshttps://doi.org/10.1109/etai68332.2026.11485473openalex-snapshot
Hybrid GCN Transformer Model with Transfer Learning for PM2.5 Concentration Prediction
inferred← citeshttps://doi.org/10.1109/fasta65681.2025.11138548openalex-snapshot
GNN-Based Distributed Consensus Control for Heterogeneous Multi-Agent Systems with Linear and Fully Actuated Nonlinear Model
inferred← citeshttps://doi.org/10.1109/gcwkshps68340.2025.11591111openalex-snapshot
pMoEFU: Class-Level Federated Unlearning with Personalized Mixture of Experts
inferred← citeshttps://doi.org/10.1109/hpca68181.2026.11408516openalex-snapshot
AutoGNN: End-to-End Hardware-Driven Graph Preprocessing for Enhanced GNN Performance
inferred← citeshttps://doi.org/10.1109/iccect68671.2026.11565408openalex-snapshot
CG Tracking: A Communication-Efficient Pipelined Distributed Conjugate Gradient Training Framework
inferred← citeshttps://doi.org/10.1109/icde65706.2026.00044openalex-snapshot
TopFGL: A Topology-Aware and Distributionagnostic Federated Learning Framework Tackling Topological Heterogeneity on Graph Data
inferred← citeshttps://doi.org/10.1109/icedcs64328.2024.00187openalex-snapshot
Research on movie recommendation algorithm based on graph neural network
inferred← citeshttps://doi.org/10.1109/icicke65317.2025.11136599openalex-snapshot
Large-Scale Financial Data Parallel Processing and Model Training Acceleration based on Distributed Deep Learning Framework
inferred← citeshttps://doi.org/10.1109/icmisi65108.2025.11115386openalex-snapshot
An Intelligent Task Broker Technique for Cloud Service Provider Selection
inferred← citeshttps://doi.org/10.1109/icosec61587.2024.10722577openalex-snapshot
Dynamic Resources Management: An Algorithm for Concurrent Access Control
inferred← citeshttps://doi.org/10.1109/icsai65059.2024.10893730openalex-snapshot
QUBO-Net: A Reverse Optimization Framework via Quantum Computing
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11227689openalex-snapshot
A Novel Anchor-Based Supervised Learning Framework for Solving Traveling Salesman Problem
inferred← citeshttps://doi.org/10.1109/tcsvt.2026.3657489openalex-snapshot
Adaptive Multi-Scale Lagrange Dynamics Spatial-Temporal Network for 3D Skeleton-Based Human Motion Prediction
inferred← citeshttps://doi.org/10.1109/tkde.2026.3679680openalex-snapshot
DHL-FLD: A Distributed Hybrid Learning Based on Fisher Linear Discriminant for Data Classification
inferred← citeshttps://doi.org/10.1109/tkde.2026.3721629openalex-snapshot
Efficient Distributed Mini-Batch GNN Training With Decentralized Batch Processing
inferred← citeshttps://doi.org/10.1109/tmc.2024.3502574openalex-snapshot
Distributed Learn-to-Optimize: Limited Communications Optimization Over Networks via Deep Unfolded Distributed ADMM
inferred← citeshttps://doi.org/10.1109/tnse.2024.3417850openalex-snapshot
Complex Graph Analysis and Representation Learning: Problems, Techniques, and Applications
inferred← citeshttps://doi.org/10.1145/3648358openalex-snapshot
Distributed Graph Neural Network Training: A Survey
inferred← citeshttps://doi.org/10.1145/3718491.3718517openalex-snapshot
Performance Optimization Method for Traditional Chinese Medicine Information Systems in High-Concurrency and Big Data Scenarios Based on a Comprehensive Architecture
inferred← citeshttps://doi.org/10.1145/3725360openalex-snapshot
SWASH: A Flexible Communication Framework with Sliding Window-Based Cache Sharing for Scalable DGNN Training
inferred← citeshttps://doi.org/10.1145/3727505.3727527openalex-snapshot
Research on Optimization Methods for Hybrid Memory Graph Processing of Memory Access
inferred← citeshttps://doi.org/10.1145/3746252.3761187openalex-snapshot
Hybrid 2 : Distributed GNN Training System Enhanced by Dual-Hybrid for Sampling and Loading
inferred← citeshttps://doi.org/10.1371/journal.pone.0321179openalex-snapshot
Detecting eavesdropping nodes in the power Internet of Things based on Kolmogorov-Arnold networks
inferred← citeshttps://doi.org/10.1371/journal.pone.0321560openalex-snapshot
TempODEGraphNet: predicting user churn using dynamic social graphs and neural ODEs
inferred← citeshttps://doi.org/10.14445/23488387/ijcse-v11i6p104openalex-snapshot
Image Processing and Distributed Computing for License Plate Tracking System
inferred← citeshttps://doi.org/10.14778/3681954.3681961openalex-snapshot
D3-GNN: Dynamic Distributed Dataflow for Streaming Graph Neural Networks
inferred← citeshttps://doi.org/10.1515/jncds-2026-0019openalex-snapshot
Synchronization control of a class of fractional-order neutral neural networks with mixed time-varying delays
inferred← citeshttps://doi.org/10.20517/jmi.2025.42openalex-snapshot
Advances in graph neural networks for alloy design and properties predictions: a review
inferred← citeshttps://doi.org/10.2139/ssrn.7607405openalex-snapshot
MemoryOS-R: An enhanced MemoryOS architecture for intent-driven multi-faceted retrieval in long conversations
inferred← citeshttps://doi.org/10.2174/0126662558350372241226071208openalex-snapshot
A Study on Learning Resources Recommendation based on Multi-Domain Fusion Network
inferred← citeshttps://doi.org/10.3390/batteries10090326openalex-snapshot
A Method for Estimating the SOH of Lithium-Ion Batteries Based on Graph Perceptual Neural Network
inferred← citeshttps://doi.org/10.3390/electronics13224478openalex-snapshot
Secure and Flexible Privacy-Preserving Federated Learning Based on Multi-Key Fully Homomorphic Encryption
inferred← citeshttps://doi.org/10.3390/technologies12110217openalex-snapshot
Benchmarking Big Data Systems: Performance and Decision-Making Implications in Emerging Technologies
inferred← citeshttps://doi.org/10.55056/ceur-ws.org/vol-3702/paper29.pdfopenalex-snapshot
Recognition of Images of Wavelet Spectra of Chirp Signals Using a Neural Network
inferred← citeshttps://doi.org/10.5753/kdmile.2024.244728openalex-snapshot
Characterization of co-authorship networks of CNPq productivity fellows: an approach based on data science
inferred← citeshttps://doi.org/10.65542/djei.v2i4.65openalex-snapshot
Towards a New Model of Real-Time Graph Computation on Social Media
inferred← citeshttps://doi.org/10.70715/jitcai.2026.v3.i2.055openalex-snapshot
FNDMFF: Enhancing Fake News Detection via Multi-Source Feature Fusion Framework
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