Results 71 to 80 of about 3,672,970 (235)
Double Graph Based Reasoning for Document-level Relation Extraction [PDF]
Conference on Empirical Methods in Natural Language Processing, 2020 Document-level relation extraction aims to extract relations among entities within a document. Different from sentence-level relation extraction, it requires reasoning over multiple sentences across a document. In this paper, we propose Graph Aggregation-
Shuang Zeng +3 more
semanticscholar +1 more source
Jurnal Paedagogy, 2023 This study aims to analyze the effect of the 5E learning cycle model assisted by LKPD based on a three-dimensional thinking graph on scientific reasoning and the improvement of scientific reasoning.
Hamidita Putri Ristia +2 more
doaj +1 more source
The graph grabbing game on {0,1}-weighted graphs
Results in Applied Mathematics, 2019 The graph grabbing game is a two-player game on a weighted connected graph in which two players, Alice and Bob, alternatively remove non-cut vertices one by one to gain the weights on them.
Soogang Eoh, Jihoon Choi
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Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis [PDF]
International Conference on Medical Image Computing and Computer-Assisted Intervention, 2020 The Blood-Oxygen-Level-Dependent (BOLD) signal of resting-state fMRI (rs-fMRI) records the temporal dynamics of intrinsic functional networks in the brain.
S. Gadgil +5 more
semanticscholar +1 more source
Nature Communications, 2022 Spatially resolved transcriptomics (SRT) technology enables us to gain novel insights into tissue architecture and cell development, especially in tumors. However, lacking computational exploitation of biological contexts and multi-view features severely
Chunman Zuo +5 more
semanticscholar +1 more source
IEEE Access, 2023 Graph summarization is the problem of producing smaller graph representations of an input graph dataset, in such a way that the smaller compressed graphs capture relevant structural information for downstream tasks.
Sepideh Neshatfar +2 more
doaj +1 more source
Feature-Enhanced Latent Summarization Model of Heterogeneous Network [PDF]
Jisuanji kexue yu tansuo, 2022 With the rapid growth of network data, large-scale heterogeneous network data storage and network repre-sentation have become hot research topics. This paper proposes two different tasks, generating graph summarization and generating node representations
XU Zhengxiang, WANG Ying, WANG Hongji, WANG Xin
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Balance in gain graphs – A spectral analysis
Linear Algebra and its Applications, 2012 AbstractA gain graph is a graph where the edges are given some orientation and labeled with the elements (called gains) from a group so that gains are inverted when we reverse the direction of the edges. A signed graph with labels from the multiplicative group {1,-1} on the edges can be taken as a particular case of a gain graph.
K. A. Germina, Shahul Hameed K
openaire +2 more sources
Enhancing cybersecurity through autonomous knowledge graph construction by integrating heterogeneous data sources [PDF]
PeerJ Computer ScienceCybersecurity plays a critical role in today’s modern human society, and leveraging knowledge graphs can enhance cybersecurity and privacy in the cyberspace.
Hatoon Alharbi +3 more
doaj +2 more sources
LPG-Based Knowledge Graphs: A Survey, a Proposal and Current Trends
Information, 2023 A significant part of the current research in the field of Artificial Intelligence is devoted to knowledge bases. New techniques and methodologies are emerging every day for the storage, maintenance and reasoning over knowledge bases.
Davide Di Pierro +2 more
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