20 citations · 144 across the 23 of their papers we have counts for
8 papers · 1 filter
On Node Features for Graph Neural Networks
Chi Thang Duong, Thanh Dat Hoang, Ha The Hien Dang +2
Graph neural network (GNN) is a deep model for graph representation learning. One advantage of graph neural network is its ability to incorporate node features into the learning pr…
Aligning Multilingual Word Embeddings for Cross-Modal Retrieval Task
Alireza Mohammadshahi, Remi Lebret, Karl Aberer
In this paper, we propose a new approach to learn multimodal multilingual embeddings for matching images and their relevant captions in two languages. We combine two existing objec…
Ephemeral Astroturfing Attacks: The Case of Fake Twitter Trends
Tuğrulcan Elmas, Rebekah Overdorf, Ahmed Furkan Özkalay +1
We uncover a previously unknown, ongoing astroturfing attack on the popularity mechanisms of social media platforms: ephemeral astroturfing attacks. In this attack, a chosen keywor…
Parallel Computation of Graph Embeddings
Chi Thang Duong, Hongzhi Yin, Thanh Dat Hoang +4
Graph embedding aims at learning a vector-based representation of vertices that incorporates the structure of the graph. This representation then enables inference of graph propert…
SciLens: Evaluating the Quality of Scientific News Articles Using Social Media and Scientific Literature Indicators
Panayiotis Smeros, Carlos Castillo, Karl Aberer
This paper describes, develops, and validates SciLens, a method to evaluate the quality of scientific news articles. The starting point for our work are structured methodologies th…
A Dynamic Embedding Model of the Media Landscape
Jeremie Rappaz, Dylan Bourgeois, Karl Aberer
Information about world events is disseminated through a wide variety of news channels, each with specific considerations in the choice of their reporting. Although the multiplicit…