时间流逝的很快,将近两个月的暑期奋战已经悄然落幕,这些泡实验室的日子虽然有点累,但是倍感充实,收获很大,在此总结如下:
1、学习了深度学习、机器学习(部分)知识;
2、看了数学之美、机器学习(还未读完)书籍;
3、阅读的论文如下:
(1)Ripple Network:Propagating User Preferences on the Knowledge Graph for Recommender Systems
(2)Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks
(3)Learning Tree-based Deep Model for Recommender Systems
(4) Deepwalk:Online Learning of Social Representations
(5) MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding
(6) Uncovering disease-disease relationships through the incomplete interactome
(7) Cell Systems systematic evaluation of molecular networks for discovery of disease genes
4、读了MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding论文、Uncovering disease-disease relationships through the incomplete interactome论文的代码;
在暑期奋战期间,很感恩老师、师兄师姐和同学对我的指导和帮助;通过这段时间的学习,让我在数据挖掘方面有了一定的认知,觉得研究这方面很有意思;未来我会继续加强学习,努力科研,希望能做出点成果。