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Modeling online social networks using Quasi-clique communities
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A Comprehensive Survey on Partitional-Based Clustering Techniques in VANETs
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Federated Graph Attention Network for IoT Edge Anomaly Detection
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COIN: Graph Contrastive Learning with Orthogonal Continuous Augmentation and Information Balance
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Modeling interdependencies in fraud detection: a graph embedding-based approach
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Getting NBA Shots in Context: Analysing Basketball Shots with Graph Embeddings
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LLM-guided graph neural coordination framework for cooperative multi-agent reinforcement learning
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Graph-Theoretic Models of Mutations in the Nucleotide Binding Domain 1 of the Cystic Fibrosis Transmembrane Conductance Regulator
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A prototype-augmented graph representation learning framework for identifying brain disorder-associated genes and facilitating drug repurposing
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Distributed Generalized Aggregative Equilibrium Seeking via Inexact Krasnosel’skii-Mann Iteration Over Time-Varying Communication Graphs
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Preference Learning Under Sparse and Noisy Feedback in IIoT‐Driven Industry 5.0 Systems: A Noise‐Corrected Graph‐Regularized Approach
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Cliques or Collaborators: Impressions of Cultural Collaboration in Academic Libraries
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CEEMDAN‐AGNN‐GTCN: A Denoising‐Enhanced Spatiotemporal Graph Neural Network for IIoT‐Based EV Charging Demand Forecasting on Icy and Snowy Roads
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Utilizing graph-based representation of text in a hybrid approach to multiple documents summarization
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From GNNs to sparse transformers: graph-based architectures for multi-hop question answering
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An approach to modern static analysis with property graphs