Results 31 to 40 of about 748,129 (177)
Graph Few-shot Learning via Knowledge Transfer
, 2020 Towards the challenging problem of semi-supervised node classification, there have been extensive studies. As a frontier, Graph Neural Networks (GNNs) have aroused great interest recently, which update the representation of each node by aggregating ...
Chawla, Nitesh V. +7 more
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A Classification of Nodes for Structural Controllability
IEEE Transactions on Automatic Control, 2019 In this paper, we consider (large and complex) interconnected networks. We assume that each state/node, not belonging to a set of forbidden nodes of the network, can be selected to act as a steering node, meaning that such a node then is influenced by its own individual control.
Christian Commault, Jacob van der Woude
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Graph Sanitation with Application to Node Classification
Proceedings of the ACM Web Conference 2022, 2022 The past decades have witnessed the prosperity of graph mining, with a multitude of sophisticated models and algorithms designed for various mining tasks, such as ranking, classification, clustering and anomaly detection. Generally speaking, the vast majority of the existing works aim to answer the following question, that is, given a graph, what is ...
Zhe Xu 0007, Boxin Du, Hanghang Tong
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Evolved explainable classifications for lymph node metastases [PDF]
Neural Networks, 2022 A novel evolutionary approach for Explainable Artificial Intelligence is presented: the "Evolved Explanations" model (EvEx). This methodology consists in combining Local Interpretable Model Agnostic Explanations (LIME) with Multi-Objective Genetic Algorithms to allow for automated segmentation parameter tuning in image classification tasks.
Iam Palatnik de Sousa +2 more
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SNOC: Streaming Network Node Classification [PDF]
2014 IEEE International Conference on Data Mining, 2014 Many real-world networks are featured with dynamic changes, such as new nodes and edges, and modification of the node content. Because changes are continuously introduced to the network in a streaming fashion, we refer to such dynamic networks as streaming networks.
Ting Guo +3 more
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On a Centrality Maximization Game
, 2020 The Bonacich centrality is a well-known measure of the relative importance of nodes in a network. This notion is, for example, at the core of Google's PageRank algorithm.
Castaldo, Maria +3 more
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Sub-optimal Graph Matching by Node-to-Node Assignment Classification [PDF]
, 2019 In the recent years, Graph Edit Distance has awaken interest in the scientific community and some new graph-matching algorithms that compute it have been presented. Nevertheless, these algorithms usually cannot be used in real applications due to runtime restrictions.
Xavier Cortés +2 more
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Graph Convolutional Networks Guided by Explicitly Estimated Homophily and Heterophily Degree
Applied Sciences, 2022 Graph convolutional networks (GCNs) have been successfully applied to learning tasks on graph-structured data. However, most traditional GCNs based on graph convolutions assume homophily in graphs, which leads to a poor performance when dealing with ...
Rui Zhang, Xin Li
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Using of Binominal Method for the Purpose of Determination of Confidence Intervals for Prediction of Invasive Ductal Breast Carcinoma Metastases [PDF]
, 2016 The study was performed using surgical and biopsy material based on histopathological study, which was conducted at the Chernivtsy Regional Clinical Oncology Centre.
Davydenko, I. (Igor) +1 more
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Deep node ranking for neuro‐symbolic structural node embedding and classification [PDF]
International Journal of Intelligent Systems, 2021 Network node embedding is an active research subfield of complex network analysis. This paper contributes a novel approach to learning network node embeddings and direct node classification using a node ranking scheme coupled with an autoencoder-based neural network architecture. The main advantages of the proposed Deep Node Ranking (DNR) algorithm are
Blaz Skrlj +4 more
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