Current and future directions in network biology
Network biology, an interdisciplinary field at the intersection of computational and biological
sciences, is critical for deepening understanding of cellular functioning and disease. While …
sciences, is critical for deepening understanding of cellular functioning and disease. While …
GTCAlign: Global Topology Consistency-based Graph Alignment
Graph alignment aims to find correspondent nodes between two graphs. Most existing
algorithms assume that correspondent nodes in different graphs have similar local …
algorithms assume that correspondent nodes in different graphs have similar local …
Multi-granularity attribute similarity model for user alignment across social platforms under pre-aligned data sparsity
Abstract Cross-platform User Alignment (UA) aims to identify accounts belonging to the
same individual across multiple social network platforms. This study seeks to enhance the …
same individual across multiple social network platforms. This study seeks to enhance the …
Locally-adaptive mapping for network alignment via meta-learning
Network alignment (NA), discovering anchor nodes that represent the same entities across
different networks, plays a fundamental role in information fusion. Most existing embedding …
different networks, plays a fundamental role in information fusion. Most existing embedding …
Attention-based multi-layer network representation learning framework for network alignment
Y Li, H Cai, H Liu - Information Processing & Management, 2025 - Elsevier
Network alignment, which aims at finding the node correspondences between networks, is
the cornerstone of multi-network applications. Existing efforts on network alignment suffer …
the cornerstone of multi-network applications. Existing efforts on network alignment suffer …
Alleviate the Impact of Heterogeneity in Network Alignment From Community View
Network alignment is a fundamental problem in various domains since it can establish
bridges for the same entity (ie, anchor nodes) between different networks. Most existing …
bridges for the same entity (ie, anchor nodes) between different networks. Most existing …
Unveiling user identity across social media: a novel unsupervised gradient semantic model for accurate and efficient user alignment
The field of social network analysis has identified User Alignment (UA) as a crucial area of
investigation. The objective of UA is to identify and connect user accounts across diverse …
investigation. The objective of UA is to identify and connect user accounts across diverse …
Deep Cross-Network Alignment with Anchor Node Pair Diverse Local Structure
Network alignment (NA) offers a comprehensive way to build associations between different
networks by identifying shared nodes. While the majority of current NA methods rely on the …
networks by identifying shared nodes. While the majority of current NA methods rely on the …
Network Embedding Technology Based on Breadth Learning for Information Extraction and Review in Social Media
J Luo, R Zhu - Informatica, 2024 - informatica.si
Social media platforms have brought tremendous changes to the way society communicates
and transmits information, but there are also some extreme individuals who post sensitive …
and transmits information, but there are also some extreme individuals who post sensitive …