networkembedding相关论文
Several modern network embedding methods learn vector representations from sampled context nodes.The sampling strategies......
Representation learning on textual network or textual network embedding,which leverages rich textual information associa......
Graph neural networks(GNNs) have shown great power in learning on graphs.However,it is still a challenge for GNNs to mod......
Network embedding,which targets at learning the vector representation of vertices,has become a crucial issue in network ......
In the real-world many complex systems exist in the form of heterogeneous networks.As we all know,heterogeneous networks......
Network embedding is a very important task to represent the high-dimensional network in a low-dimensional vector space,w......
随着社交网络用户的迅速增长，基于深度学习技术的网络表示学习算法逐渐成为近年来的研究热点。然而，现有算法许多是从结构方面考虑基......
Abstract.Most existing network representation algorithms learn the network representations based on network structur......
Network representation learning has shown its effectiveness in some researches,such as link prediction and node clas......
同义实体识别任务是指在数据中发现同一命名实体的不同的指代名称的任务。同义实体识别可以有效解决数据冲突、去除冗余数据,进一......
