Tackling social media fraud with graph databases
Graph databases store data as a network of interconnected facts. This type of data model is useful for researchers to easily ...
C&EN20d
Physics-Informed Graph Convolutional Recurrent Network for Cyber-Attack Detection in Chemical Process Networks
School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing 100049, China Key Laboratory of Green Process and Engineering, Institute of Process Engineering, Chinese Academy of ...
HuffPost26d
‘Social Network’ Star Jesse Eisenberg Explains Why He'll No Longer Defend Mark Zuckerberg
Fifteen years after portraying Mark Zuckerberg in “The Social Network,” actor Jesse Eisenberg is sharing some candid thoughts on the Meta CEO’s latest actions. “As an actor, your job is to really ...
IEEE28d
Graph Model for Conflict Resolution Considering Heterogeneous Behavior Based on Hesitant Fuzzy Preference and Social Network Analysis
Abstract: Graph model for conflict resolution (GMCR ... and the heterogeneous behaviors of opponents in GMCR. Based on the social relationship between DMs, the social network is applied to analyze the ...
Medical Xpress28d
Who to vaccinate first? Engineers answer a life-or-death question with network theory
We had to approach this real-world problem more practically while still using network theory tools that captured enough population heterogeneity to arrive at a meaningful and useful strategy." ...
Uber28d
Social Networking App Revenue and Usage Statistics (2025)
In the late 1990s, as the internet was moving to web 2.0 stage, several online messaging and social networks launched with new multimedia services, propelling them to new levels of popularity.
C&EN28d
Attention-Based Interpretable Multiscale Graph Neural Network for MOFs
The State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, ...
IEEE1mon
Cross-Skeleton Interaction Graph Aggregation Network for Representation Learning of Mouse Social Behavior
Abstract: Automated social behaviour analysis of mice has become an increasingly ... To deal with the interaction modelling problem, we here propose a Cross-Skeleton Interaction Graph Aggregation ...
Frontiers11mon
A brain functional network feature extraction method based on directed transfer function and graph theory for MI-BCI decoding tasks
Objective: This paper proposes a method for extracting brain functional network features based on directed transfer function (DTF) and graph theory. The method incorporates the extracted brain network ...
Quanta Magazine3y
Researchers Build AI That Builds AI
Given a new, untrained deep neural network designed for some task, the hypernetwork predicts the parameters for the new network in fractions of a second, and in theory could make training ... They ...
Frontiers9y
GRETNA: a graph theoretical network analysis toolbox for imaging connectomics
Recent studies have suggested that the brain’s structural and functional networks (i.e., connectomics) can be constructed by various imaging technologies (e.g., EEG/MEG; structural, diffusion and ...