923 citations · 1.6k across the 23 of their papers we have counts for
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cs.LG2017★ 140 cited
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…
cs.LG2017★ 5 cited
Proportionate gradient updates with PercentDelta
Sami Abu-El-Haija
Deep Neural Networks are generally trained using iterative gradient updates. Magnitudes of gradients are affected by many factors, including choice of activation functions and init…
cs.LG2017★ 49 cited
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…