A new link prediction in multiplex networks using topologically biased random walks
Link prediction is a technique to forecast future new or missing relationships between nodes
based on the current network information. However, the link prediction in monoplex …
based on the current network information. However, the link prediction in monoplex …
Supervised random walks: predicting and recommending links in social networks
L Backstrom, J Leskovec - Proceedings of the fourth ACM international …, 2011 - dl.acm.org
Predicting the occurrence of links is a fundamental problem in networks. In the link
prediction problem we are given a snapshot of a network and would like to infer which …
prediction problem we are given a snapshot of a network and would like to infer which …
Point-of-interest recommendations: Learning potential check-ins from friends
The emergence of Location-based Social Network (LBSN) services provides a wonderful
opportunity to build personalized Point-of-Interest (POI) recommender systems. Although a …
opportunity to build personalized Point-of-Interest (POI) recommender systems. Although a …
TranSynergy: Mechanism-driven interpretable deep neural network for the synergistic prediction and pathway deconvolution of drug combinations
Q Liu, L Xie - PLoS computational biology, 2021 - journals.plos.org
Drug combinations have demonstrated great potential in cancer treatments. They alleviate
drug resistance and improve therapeutic efficacy. The fast-growing number of anti-cancer …
drug resistance and improve therapeutic efficacy. The fast-growing number of anti-cancer …
Pixie: A system for recommending 3+ billion items to 200+ million users in real-time
User experience in modern content discovery applications critically depends on high-quality
personalized recommendations. However, building systems that provide such …
personalized recommendations. However, building systems that provide such …
Anemone: Graph anomaly detection with multi-scale contrastive learning
Anomaly detection on graphs plays a significant role in various domains, including
cybersecurity, e-commerce, and financial fraud detection. However, existing methods on …
cybersecurity, e-commerce, and financial fraud detection. However, existing methods on …
[图书][B] Ontology matching
J Euzenat, P Shvaiko - 2007 - Springer
An ontology typically provides a vocabulary describing a domain of interest and a
specification of the meaning of terms in that vocabulary. Depending on the precision of this …
specification of the meaning of terms in that vocabulary. Depending on the precision of this …
Graph clustering based on structural/attribute similarities
The goal of graph clustering is to partition vertices in a large graph into different clusters
based on various criteria such as vertex connectivity or neighborhood similarity. Graph …
based on various criteria such as vertex connectivity or neighborhood similarity. Graph …
Compact integration of multi-network topology for functional analysis of genes
The topological landscape of molecular or functional interaction networks provides a rich
source of information for inferring functional patterns of genes or proteins. However, a …
source of information for inferring functional patterns of genes or proteins. However, a …
Location recommendation for location-based social networks
In this paper, we study the research issues in realizing location recommendation services for
large-scale location-based social networks, by exploiting the social and geographical …
large-scale location-based social networks, by exploiting the social and geographical …