Search Results for author:
Found 12 papers, 7 papers with code
Sort & Slice: A Simple and Superior Alternative to Hash-Based Folding for Extended-Connectivity Fingerprints
Extended-connectivity fingerprints (ECFPs) are a ubiquitous tool in current cheminformatics and molecular machine learning, and one of the most prevalent molecular feature extraction techniques used for chemical prediction.
Link Me Baby One More Time: Social Music Discovery on Spotify
We consider several factors that may influence this process, such as the strength of the sender-receiver relationship, the user's role in the Spotify social network, their music social cohesion, and how similar the new artist is to the receiver's taste.
Structural Balance and Random Walks on Complex Networks with Complex Weights
Here, we focus on the case when the weight matrix is Hermitian, a reasonable assumption in many applications, and investigate both structural and dynamical properties of the complex-weighted networks.
Exploring QSAR Models for Activity-Cliff Prediction
Pairs of similar compounds that only differ by a small structural modification but exhibit a large difference in their binding affinity for a given target are known as activity cliffs (ACs).
Variance and covariance of distributions on graphs
We develop a theory to measure the variance and covariance of probability distributions defined on the nodes of a graph, which takes into account the distance between nodes.
Physics and Society Probability Applications 60B99, 05C12, 05C69, 90C35, 05C82, 05C85
Community detection in networks without observing edges
We develop a Bayesian hierarchical model to identify communities in networks for which we do not observe the edges directly, but instead observe a series of interdependent signals for each of the nodes.
Multiscale dynamical embeddings of complex networks
Complex systems and relational data are often abstracted as dynamical processes on networks.
Social and Information Networks Systems and Control Physics and Society
Modelling structure and predicting dynamics of discussion threads in online boards
We compare the efficiency of our approach with previous works and show its superiority for the prediction of the dynamics of discussions.
Social and Information Networks Probability Data Analysis, Statistics and Probability 90B18, 60K35, 60G55, 82C99
The many facets of community detection in complex networks
Community detection, the decomposition of a graph into essential building blocks, has been a core research topic in network science over the past years.
Social and Information Networks Data Analysis, Statistics and Probability Physics and Society
TiDeH: Time-Dependent Hawkes Process for Predicting Retweet Dynamics
The main mechanism driving content diffusion is the possibility for users to re-share the content posted by their social connections, which may then cascade across the system.
Social and Information Networks Physics and Society
RankMerging: A supervised learning-to-rank framework to predict links in large social network
Uncovering unknown or missing links in social networks is a difficult task because of their sparsity and because links may represent different types of relationships, characterized by different structural patterns.
Fast unfolding of communities in large networks
We propose a simple method to extract the community structure of large networks.
Physics and Society Statistical Mechanics Computers and Society Data Structures and Algorithms
