Link Prediction Based On Graph Neural Networks

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Link Prediction Based on Graph Neural Networks

papers.nips.cc

Link Prediction Based on Graph Neural Networks Muhan Zhang Department of CSE Washington University in St. Louis muhan@wustl.edu Yixin Chen Department of CSE Washington University in St. Louis chen@cse.wustl.edu Abstract Link prediction is a key problem for network-structured data. Link prediction

Based, Network, Link, Prediction, Graph, Neural, Link prediction based on graph neural networks, Link prediction

Generating Sequences With Recurrent Neural Networks

arxiv.org

Recurrent Neural Networks Alex Graves Department of Computer Science University of Toronto graves@cs.toronto.edu Abstract This paper shows how Long Short-term Memory recurrent neural net-works can be used to generate complex sequences with long-range struc-ture, simply by predicting one data point at a time. The approach is

Network, With, Work, Sequence, Generating, Neural network, Neural, Recurrent, Generating sequences with recurrent neural networks, Neural net works

DeepWalk: Online Learning of Social Representations

perozzi.net

Walk generalizes neural language models to process a special language composed of a set of randomly-generated walks. These neural language models have been used to capture the semantic and syntactic structure of human language [7], and even logical analogies [29]. DeepWalk takes a graph as input and produces a latent representation as an output.

Graph, Neural, Deepwalk

Link Prediction Based On Graph Neural Networks