This Talk § 1) Node embeddings § Map nodes to low-dimensional embeddings. § 2) Graph neural networks

First Page		Document Content
Date: 2018-04-25 02:50:04 Artificial neural networks Machine learning Applied mathematics Mathematics Artificial intelligence Topological graph theory Market research Feature learning Deep learning Graph embedding Word embedding		This Talk § 1) Node embeddings § Map nodes to low-dimensional embeddings. § 2) Graph neural networks Add to Reading List Source URL: snap.stanford.edu Download Document from Source Website File Size: 3,16 MB Share Document on Facebook

	Machine Learning @ Amazon Rajeev Rastogi Director, Machine Learning Key Takeaways • DocID: 1xVRp - View Document
	Proceedings of Machine Learning Research, 4th International Conference on Predictive Applications and APIs Flexible and Scalable Deep Learning with MMLSpark Mark Hamilton Sudarshan DocID: 1xVPK - View Document
	R E P O RT R E P R I N T Big data, machine learning shape performance-monitoring developments N A NCY GOHR ING DocID: 1xVNc - View Document
	Journal of Machine Learning Research, 4th International Conference on Predictive Applications and APIs Marvin - Open source artificial intelligence platform Lucas B. Miguel DocID: 1xVLb - View Document
	Machine Learning for Q&A sites: state of the art and research directions Xavier Amatriain Quora Inc. 650 Castro St #450 Mountain View, CA, US DocID: 1xVAM - View Document