Graph-Based Representations in Pattern Recognition -

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Résumé :
.- Cybersecurity based on Graph models. .- A Modular Triple Exchange Co-learning Framework for Anomaly Detection in Scarcely Labeled Graph Data. .- Advanced Malware Detection in Code Repositories Using Graph Neural Network. .- Resistance Distance Guided Node Injection Attack on Graph Neural Network. .- Graph based bioinformatics. .- Gene Co-Expression Networks Are Poor Proxies for Expert-Curated Gene Regulatory Networks. .- Graph Neural Network Based on Molecular and Pharmacophoric Features for Drug Design Applications. .- Graph-Based Representations of Almost Constant Graphs for Nanotoxicity Prediction. .- Label Modulated Dynamic Graph Convolution for Subcellular Structure Segmentation from Nanoscopy Image. .- Insights on Using Graph Neural Networks for Sulcal Graphs Predictive Models. .- Graph Neural Networks for Multimodal Brain Connectivity Analysis in Multiple Sclerosis. .- Graph similarities and graph patterns. .- A Geometric Perspective on Graph Similarity Learning using Convex Hulls. .- VF-GPU: Exploiting Parallel GPU Architectures to Solve Subgraph Isomorphis. .- Grammatical Path Network: Unveiling Cycles Through Path Computation. .- Deep QMiner: Towards a generalized DeepQ-Learning Approach for Graph Pattern Mining. .- GNN: shortcomings and solutions. .- An Empirical Investigation of Shortcuts in Graph Learning. .- A General Sampling Framework for Graph Convolutional Network Training. .- Fusion of GNN and GBDT Models for Graph and Node Classification. .- Harnessing GraphSAGE for Learning Representations of Massive Transactional networks. .- Entropy-Guided Graph Clustering via Ré...

Biographie:
nyi Optimization. .- Graph learning and computer vision. .- Exploring a Graph Regression Problem in River Networks. .- Saliency Matters: from nodes to objects. .- Hierarchical super-pixels graph neural networks for image semantic segmentation. .- Lifting some Secrets about Contrast Pyramids. .- An Evolution Equation Involving the Generalized Biased Infinity Laplacian on Graphs. .- Doc2Graph-X: A Multilingual Graph-Based Framework for Form Understanding. .- VisHubGAT: Visible Connectivity and Hub Nodes for Multimodal Entity Extraction....

Sommaire:
nyi Optimization. .- Graph learning and computer vision. .- Exploring a Graph Regression Problem in River Networks. .- Saliency Matters: from nodes to objects. .- Hierarchical super-pixels graph neural networks for image semantic segmentation. .- Lifting some Secrets about Contrast Pyramids. .- An Evolution Equation Involving the Generalized Biased Infinity Laplacian on Graphs. .- Doc2Graph-X: A Multilingual Graph-Based Framework for Form Understanding. .- VisHubGAT: Visible Connectivity and Hub Nodes for Multimodal Entity Extraction....