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I didn't get a chance to look at the paper, but I wanted to share my experience working at two social network companies and publishing an academic paper on the
by ma2rten 8y ago
I didn't get a chance to look at the paper, but I wanted to share my experience working at two social network companies and publishing an academic paper on the topic of machine learning on a social network graph. Many people think it's necessary to use graph based machine learning (or graph databases).
In practice I found it almost always better to just use a "flat" representation and do regular machine learning (or database schemas). I would love to hear if others disagree.
- wjn0 8y agoI think it's highly task-specific. In network biology for example, taking advantage of the network structure, either through node embeddings or directly, is almost always helpful (even necessary). I'm not as familiar with applications to social networks, or graph DBs.