… network based network embedding … community detection method for social networks is
proposed in this paper. A matrix reconstruction method based on a novel cyberspace structure …

… other methods for community detection in node-attributed networks (using both structure and
… only with classical community detection methods that deal either with structure or attributes …

… -scale social networks. To overcome this deficiency, this paper proposes a community
detection … In recent years, network embedding methods, eg, node2vec [17], LINE [46],etc., have …

… Using the graph structures in Γ, we want to determine communities where there is a high social
media activity for … For building the BERT embeddings, we use simpletransformers with the …

… Figure 1: An example of community detection in a social network. The … Sparse network
embedding for community detection and sign prediction in signed social networks. J. Ambient Intell…

… Examples include social networks, power grid and world trade networks. … Using the
Autoencoder framework, we focused on community identification rather than network embedding in …

… of social network, eg, user interests, to discover community. … CD, for community detection
through joint GCN embedding. It … that derives two embeddings using the original attribute net…

… is to build a temporal or streaming fake news detection model. … of social media news along
with new nodes join the network … of the Temporal Embedding Network are a temporal news …

… real world networks are evolving over time, such as social networks and user-item networks,
… applications which handle network structure data with dynamic embedding techniques. …

… security, finance, and social media. Existing network embedding based methods have mostly
… the subgraph structural changes related to the target nodes in a given time window. In this …