接着使用BERT学习词嵌入,这个嵌入被用来初始化图中节点的嵌入。构建的三个图数据集为Graph-SST2、Graph-SST5和Graph-Twitter,这三个数据集很快公布,数据集的统计数据在上面的表中。表中还体现了一些模型在这数据集上的预测精度。 分子数据也被广泛应用于解释任务。比如MUTAG、BBBP和Tox21。每一个这样的数据集都...
A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions 3. 快速浏览通道:思维导图 如果看不清楚的话可以去评论区下载源文件~ 1. Intro 1.1 推荐算法发展历史 1.1.1 Shallow Models 协同过滤CF,代表方法矩阵分解MF 《Matrix factorization techniques for recommender systems...
A Survey of Explainable Reinforcement Learning. arXiv 2022 paper bib Stephanie Milani, Nicholay Topin, Manuela Veloso, Fei Fang A Survey of Exploration Strategies in Reinforcement Learning. McGill University 2003 paper bib R. McFarlane A Survey of Inverse Reinforcement Learning: Challenges, Methods and...
Toward explainable artificial intelligence: A survey and overview on their intrinsic properties Toward explainable artificial intelligence: A survey and overview on their intrinsic propertiesExplainable artificial intelligenceModel transparency? 2023 Elsevier B... JX Mi,X Jiang,LGY Luo - 《Neurocomputing》 ...
methods. Machine Learning techniques such as Support Vector Machine (SVM), Artificial Neural Net, and Linear Modeling are successful with small data sets. In big data sets, Deep Learning has higher accuracy. Graph Neural Network is an original approach in that node selection must be done ...
Having this concern in mind, recent works address the interpretability issue of DL from the following principles of “eXplainable Artificial Intelligence” (XAI) systems [24]: the existence of an appropriate explanation for each decision made; each explanation must be meaningful to the user; the ...
A method of few-shot network intrusion detection based on meta-learning framework IEEE Trans. Inf. Forensics Secur., 15 (2020), pp. 3540-3552 CrossrefView in ScopusGoogle Scholar [31] T. Hospedales, A. Antoniou, P. Micaelli, A. Storkey Meta-Learning in Neural Networks: A Survey, IEE...
The authors first highlight the position of explainable recommendation in recommender system research by categorizing recommendation problems into the 5W (what, when, who, where, and why). They then conduct a comprehensive survey of explainable recommendation on three perspectives: (1) a chronological...
A collection of sketch based applications.Feel free to create a PR or an issue.Outline0. Survey 1. Sketch Based Image Synthesis 1.1 Automatic Synthesis 1.2 Style-conditioned 1.3 Text-conditioned 2. Sketch Based Image Editing 3. Sketch Based Image Retrieval (SBIR) 4. Sketch Based 3D Shape Re...
论文链接:[2011.02260] Graph Neural Networks in Recommender Systems: A Survey (arxiv.org) 本篇综述的组织结构如下: User-item Collaborative Filtering:协同滤波 Sequential Recommendation:序列推荐 Social Recommendation:社交推荐 Knowledge Graph based Recommendation:基于知识图谱的推荐 Other tasks:一些小众的方向 Da...