Identification of environmental factors that promote intestinal inflammation
Genome-wide association studies have identified risk loci linked to inflammatory bowel
disease (IBD)—a complex chronic inflammatory disorder of the gastrointestinal tract. The …
disease (IBD)—a complex chronic inflammatory disorder of the gastrointestinal tract. The …
[HTML][HTML] A preference random walk algorithm for link prediction through mutual influence nodes in complex networks
Predicting links in complex networks has been one of the essential topics within the realm of
data mining and science discovery over the past few years. This problem remains an attempt …
data mining and science discovery over the past few years. This problem remains an attempt …
Variant to function mapping at single-cell resolution through network propagation
Genome-wide association studies in combination with single-cell genomic atlases can
provide insights into the mechanisms of disease-causal genetic variation. However …
provide insights into the mechanisms of disease-causal genetic variation. However …
Identification of drug-disease associations by using multiple drug and disease networks
Y Yang, L Chen - Current Bioinformatics, 2022 - ingentaconnect.com
Background: Drug repositioning is a new research area in drug development. It aims to
discover novel therapeutic uses of existing drugs. It could accelerate the process of …
discover novel therapeutic uses of existing drugs. It could accelerate the process of …
Adversarial graph contrastive learning with information regularization
Contrastive learning is an effective unsupervised method in graph representation learning.
Recently, the data augmentation based contrastive learning method has been extended …
Recently, the data augmentation based contrastive learning method has been extended …
iPiDA-GCN: Identification of piRNA-disease associations based on Graph Convolutional Network
J Hou, H Wei, B Liu - PLOS Computational Biology, 2022 - journals.plos.org
Motivation Piwi-interacting RNAs (piRNAs) play a critical role in the progression of various
diseases. Accurately identifying the associations between piRNAs and diseases is important …
diseases. Accurately identifying the associations between piRNAs and diseases is important …
Reconstruction enhanced multi-view contrastive learning for anomaly detection on attributed networks
Detecting abnormal nodes from attributed networks is of great importance in many real
applications, such as financial fraud detection and cyber security. This task is challenging …
applications, such as financial fraud detection and cyber security. This task is challenging …
Robust self-supervised structural graph neural network for social network prediction
The self-supervised graph representation learning has achieved much success in recent
web based research and applications, such as recommendation system, social networks …
web based research and applications, such as recommendation system, social networks …
MERIt: Meta-path guided contrastive learning for logical reasoning
Logical reasoning is of vital importance to natural language understanding. Previous studies
either employ graph-based models to incorporate prior knowledge about logical relations, or …
either employ graph-based models to incorporate prior knowledge about logical relations, or …
Streaming graph neural networks with generative replay
Training Graph Neural Networks (GNNs) incrementally is a particularly urgent problem,
because real-world graph data usually arrives in a streaming fashion, and inefficiently …
because real-world graph data usually arrives in a streaming fashion, and inefficiently …