Search Results for author:
Found 6 papers, 2 papers with code
Social-LLM: Modeling User Behavior at Scale using Language Models and Social Network Data
In response, we introduce a novel approach tailored for modeling social network data in user detection tasks.
Retweet-BERT: Political Leaning Detection Using Language Features and Information Diffusion on Social Networks
We introduce Retweet-BERT, a simple and scalable model to estimate the political leanings of Twitter users.
Zero-shot meta-learning for small-scale data from human subjects
While developments in machine learning led to impressive performance gains on big data, many human subjects data are, in actuality, small and sparsely labeled.
Heterogeneous Effects of Software Patches in a Multiplayer Online Battle Arena Game
The popularity of online gaming has grown dramatically, driven in part by streaming and the billion-dollar e-sports industry.
Individualized Context-Aware Tensor Factorization for Online Games Predictions
Individual behavior and decisions are substantially influenced by their contexts, such as location, environment, and time.
Learning graph representations of biochemical networks and its application to enzymatic link prediction
We develop in this work a technique, Enzymatic Link Prediction (ELP), for predicting the likelihood of an enzymatic transformation between two molecules.
