Complexity vs. performance: empirical analysis of machine learning as a service
Machine learning classifiers are basic research tools used in numerous types of network
analysis and modeling. To reduce the need for domain expertise and costs of running local …
analysis and modeling. To reduce the need for domain expertise and costs of running local …
The role of location and social strength for friendship prediction in location-based social networks
Recent advances in data mining and machine learning techniques are focused on exploiting
location data. These advances, combined with the increased availability of location …
location data. These advances, combined with the increased availability of location …
Friend recommendations with self-rescaling graph neural networks
Friend recommendation service plays an important role in shaping and facilitating the
growth of online social networks. Graph embedding models, which can learn low …
growth of online social networks. Graph embedding models, which can learn low …
Language in our time: An empirical analysis of hashtags
Y Zhang - The World Wide Web Conference, 2019 - dl.acm.org
Hashtags in online social networks have gained tremendous popularity during the past five
years. The resulting large quantity of data has provided a new lens into modern society …
years. The resulting large quantity of data has provided a new lens into modern society …
A local random walk model for complex networks based on discriminative feature combinations
Networks have become increasingly important to model many complex systems. This
powerful representation has been employed in different tasks of artificial intelligence …
powerful representation has been employed in different tasks of artificial intelligence …
Inferring functional connectivity from time-series of events in large scale network deployments
To respond rapidly and accurately to network and service outages, network operators must
deal with a large number of events resulting from the interaction of various services …
deal with a large number of events resulting from the interaction of various services …
Link prediction with text in online social networks: The role of textual content on high-resolution temporal data
Abstract Machine learning-based solutions for link prediction in Online Social Networks
(OSNs) have been the subject of many research efforts. While most of them are mainly …
(OSNs) have been the subject of many research efforts. While most of them are mainly …
Temporal graph learning for dynamic link prediction with text in online social networks
Abstract Link prediction in Online Social Networks—OSNs—has been the focus of numerous
studies in the machine learning community. A successful machine learning-based solution …
studies in the machine learning community. A successful machine learning-based solution …
Discrete-time graph neural networks for transaction prediction in Web3 social platforms
In Web3 social platforms, ie social web applications that rely on blockchain technology to
support their functionalities, interactions among users are usually multimodal, from common …
support their functionalities, interactions among users are usually multimodal, from common …
A semantic approach for constructing knowledge graphs extracted from tables
S Bonfitto - 2023 - air.unimi.it
Abstract Knowledge graphs (KGs) are networks of real-world entities with their relationships
and properties and are more and more used as a means for the integration of …
and properties and are more and more used as a means for the integration of …