8.8k citations · 10.6k across the 35 of their papers we have counts for
5 papers · 1 filter
Watch Your Step: Learning Node Embeddings via Graph Attention
Sami Abu-El-Haija, Bryan Perozzi, Rami Al-Rfou +1
Graph embedding methods represent nodes in a continuous vector space, preserving information from the graph (e.g. by sampling random walks). There are many hyper-parameters to thes…
CosmoGAN: creating high-fidelity weak lensing convergence maps using Generative Adversarial Networks
Mustafa Mustafa, Deborah Bard, Wahid Bhimji +3
Inferring model parameters from experimental data is a grand challenge in many sciences, including cosmology. This often relies critically on high fidelity numerical simulations, w…
Learning Edge Representations via Low-Rank Asymmetric Projections
Sami Abu-El-Haija, Bryan Perozzi, Rami Al-Rfou
We propose a new method for embedding graphs while preserving directed edge information. Learning such continuous-space vector representations (or embeddings) of nodes in a graph i…
Efficient Natural Language Response Suggestion for Smart Reply
Matthew Henderson, Rami Al-Rfou, Brian Strope +6
This paper presents a computationally efficient machine-learned method for natural language response suggestion. Feed-forward neural networks using n-gram embedding features encode…
Detecting English Writing Styles For Non Native Speakers
Yanging Chen, Rami Al-Rfou', Yejin Choi
This paper presents the first attempt, up to our knowledge, to classify English writing styles on this scale with the challenge of classifying day to day language written by writer…