Results 51 to 60 of about 2,836,177 (344)
Tracking Time-Vertex Propagation using Dynamic Graph Wavelets [PDF]
, 2016 Graph Signal Processing generalizes classical signal processing to signal or data indexed by the vertices of a weighted graph. So far, the research efforts have been focused on static graph signals.
Grassi, Francesco +2 more
core +2 more sources
Topological and Graph-coloring Conditions on the Parameter-independent Stability of Second-order Networked Systems [PDF]
, 2017 In this paper, we study parameter-independent stability in qualitatively heterogeneous passive networked systems containing damped and undamped nodes.
Bürger, Mathias +3 more
core +2 more sources
On the classification of nonsimple graph C*-algebras [PDF]
, 2009 We prove that a graph C*-algebra with exactly one proper nontrivial ideal is classified up to stable isomorphism by its associated six-term exact sequence in K-theory.
C -algebras +2 more
core +4 more sources
Workshop on Graph-based Methods for Natural Language Processing, 2020 Named entity recognition (NER) from visual documents, such as invoices, receipts or business cards, is a critical task for visual document understanding.
Chuwei Luo +5 more
semanticscholar +1 more source
Named Entity Recognition based on a Graph Structure
Computación y Sistemas, 2020 The identification of indirect relationships between texts from different sources makes the task of text mining useful when the goal is to obtain the most valuable information from a set of texts. That is why in the field of information retrieval the correct recognition of named entities plays an important role when extracting valuable information in ...
Muñoz, David +2 more
openaire +7 more sources
Entropy, 2022 Users participate in multiple social networks for different services. User identity linkage aims to predict whether users across different social networks refer to the same person, and it has received significant attention for downstream tasks such as ...
Hao Gao +4 more
doaj +1 more source
On irregularity descriptors of derived graphs
AIMS Mathematics, 2020 Topological indices are molecular structural descriptors which computationally and theoretically describe the natures of the underlying connectivity of nanomaterials and chemical compounds, and hence they provide quicker methods to examine their ...
Wei Gao +4 more
doaj +1 more source
SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence Pre-training [PDF]
IEEE International Conference on Computer Vision, 2023 Skeleton sequence representation learning has shown great advantages for action recognition due to its promising ability to model human joints and topology. However, the current methods usually require sufficient labeled data for training computationally
Hongfei Yan +5 more
semanticscholar +1 more source
KGAT: Knowledge Graph Attention Network for Recommendation [PDF]
Knowledge Discovery and Data Mining, 2019 To provide more accurate, diverse, and explainable recommendation, it is compulsory to go beyond modeling user-item interactions and take side information into account.
Xiang Wang +4 more
semanticscholar +1 more source
Structural Re-weighting Improves Graph Domain Adaptation [PDF]
International Conference on Machine Learning, 2023 In many real-world applications, graph-structured data used for training and testing have differences in distribution, such as in high energy physics (HEP) where simulation data used for training may not match real experiments.
Shikun Liu +6 more
semanticscholar +1 more source