Results 51 to 60 of about 2,936,543 (297)

Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks [PDF]

AAAI Conference on Artificial Intelligence, 2020
Social media has been developing rapidly in public due to its nature of spreading new information, which leads to rumors being circulated. Meanwhile, detecting rumors from such massive information in social media is becoming an arduous challenge ...
Tian Bian, Xi Xiao, Tingyang Xu, P. Zhao, Wenbing Huang, Yu Rong, Junzhou Huang   +6 more
semanticscholar   +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, Zahid Iqbal, Shehnaz Akhter, Muhammad Ishaq, Adnan Aslam   +4 more
doaj   +1 more source

RDF Curator: A Novel Workflow that Generates Semantic Graph from Literature for Curation Using Text Mining [PDF]

, 2010
There exist few databases that enable cross-reference among various research fields related to bioenergy. Cross-reference is highly desired among bioinformatics databases related to environment, energy, and agriculture for better mutual cooperation.
Osamu Gotoh, Yusuke Komiyama
core   +2 more sources

Chemistry-intuitive explanation of graph neural networks for molecular property prediction with substructure masking

Nature Communications, 2023
Attempts to explain molecular property predictions of neural networks are not always compatible with chemical intuition based on chemical substructures. Here the authors propose the substructure mask explanation method to tackle this challenge.
Zhenxing Wu, Jike Wang, Hongyan Du, Dejun Jiang, Yu Kang, Dan Li, P. Pan, Yafeng Deng, Dongsheng Cao, Chang-Yu Hsieh, Tingjun Hou   +10 more
semanticscholar   +1 more source

MOGONET integrates multi-omics data using graph convolutional networks allowing patient classification and biomarker identification

Nature Communications, 2021
To fully utilize the advances in omics technologies and achieve a more comprehensive understanding of human diseases, novel computational methods are required for integrative analysis of multiple types of omics data.
Tongxin Wang, Wei Shao, Zhi Huang, Haixu Tang, J. Zhang, Zhengming Ding, Kun Huang   +6 more
semanticscholar   +1 more source

Semi-Supervised Bootstrapped Syntax-Semantics-Based Approach for Agriculture Relation Extraction for Knowledge Graph Creation and Reasoning

IEEE Access, 2023
We propose a novel approach that uses semi-supervised learning to extract triplets from domain-specific texts and create a Knowledge Graph (KG), with a focus on the agricultural domain.
G. Veena, Deepa Gupta, Vani Kanjirangat
doaj   +1 more source

GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks [PDF]

The Web Conference
Large language models (LLMs) like ChatGPT, exhibit powerful zero-shot and instruction-following capabilities, have catalyzed a revolutionary transformation across diverse fields, especially for open-ended tasks.
Mengmei Zhang, Mingwei Sun, Peng Wang, Shen Fan, Yanhu Mo, Xiaoxiao Xu, Hong Liu, Cheng Yang, Chuan Shi   +8 more
semanticscholar   +1 more source

KCD indices and coindices of graphs

Ratio Mathematica, 2020
The relationship between vertices of a graph is always an interesting fact, but the relations of vertices and edges also seeks attention. Motivation of the relationship between vertices and edges of a graph has helped to arise with a set of new degree ...
Keerthi G. Mirajkar, Akshata Morajkar
doaj   +1 more source

Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters [PDF]

International Conference on Information and Knowledge Management, 2020
Graph Neural Networks (GNNs) have been widely applied to fraud detection problems in recent years, revealing the suspiciousness of nodes by aggregating their neighborhood information via different relations.
Yingtong Dou, Zhiwei Liu, Li Sun, Yutong Deng, Hao Peng, Philip S. Yu   +5 more
semanticscholar   +1 more source

Crosstalk between the ribosome quality control‐associated E3 ubiquitin ligases LTN1 and RNF10

FEBS Letters, EarlyView.
Loss of the E3 ligase LTN1, the ubiquitin‐like modifier UFM1, or the deubiquitinating enzyme UFSP2 disrupts endoplasmic reticulum–ribosome quality control (ER‐RQC), a pathway that removes stalled ribosomes and faulty proteins. This disruption may trigger a compensatory response to ER‐RQC defects, including increased expression of the E3 ligase RNF10 ...
Yuxi Huang, Satoshi Hashimoto, Sota Ito, Chisato Kikuguchi, Miho Hoshi, Kiyoshi Yamaguchi, Yoichi Furukawa, Toru Suzuki, Toshifumi Inada   +8 more
wiley   +1 more source