Papers Community Search
“Community Search” 태그가 달린 논문 11편 · 필터 해제
Community Search in Time-dependent Road-social Attributed Networks
Real-world networks often involve both keywords and locations, along with travel time variations between locations due to traffic conditions. However, most existing cohesive subgraph-based community search studies utiliz…
AttributeCommunity SearchSemantic SimilaritySemantic Textual SimilarityPre-trained Prompt-driven Semi-supervised Local Community Detection
Semi-supervised local community detection aims to leverage known communities to detect the community containing a given node. Although existing semi-supervised local community detection studies yield promising results, t…
Community DetectionCommunity SearchLocal Community DetectionHow Cohesive Are Community Search Results on Online Social Networks?: An Experimental Evaluation
Recently, numerous community search methods for large graphs have been proposed, at the core of which is defining and measuring cohesion. This paper experimentally evaluates the effectiveness of these community search al…
AttributeCommunity SearchCommunity search signatures as foundation features for human-centered geospatial modeling
Aggregated relative search frequencies offer a unique composite signal reflecting people's habits, concerns, interests, intents, and general information needs, which are not found in other readily available datasets. Tem…
Community SearchMissing ValuesSpatial InterpolationAn Effective Index for Truss-based Community Search on Large Directed Graphs
Community search is a derivative of community detection that enables online and personalized discovery of communities and has found extensive applications in massive real-world networks. Recently, there needs to be more …
Community DetectionCommunity SearchRelationRetrievalFast Butterfly-Core Community Search For Large Labeled Graphs
Community Search (CS) aims to identify densely interconnected subgraphs corresponding to query vertices within a graph. However, existing heterogeneous graph-based community search methods need help identifying cross-gro…
Community SearchCS-TGN: Community Search via Temporal Graph Neural Networks
Searching for local communities is an important research challenge that allows for personalized community discovery and supports advanced data analysis in various complex networks, such as the World Wide Web, social netw…
Community SearchGraph EmbeddingCS-MLGCN : Multiplex Graph Convolutional Networks for Community Search in Multiplex Networks
Community Search (CS) is one of the fundamental tasks in network science and has attracted much attention due to its ability to discover personalized communities with a wide range of applications. Given any query nodes, …
Community SearchGraph EmbeddingA Survey on Machine Learning Solutions for Graph Pattern Extraction
A subgraph is constructed by using a subset of vertices and edges of a given graph. There exist many graph properties that are hereditary for subgraphs. Hence, researchers from different communities have paid a great dea…
Community DetectionCommunity SearchSurveyQuery Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed
Given one or more query vertices, Community Search (CS) aims to find densely intra-connected and loosely inter-connected structures containing query vertices. Attributed Community Search (ACS), a related problem, is more…
AttributeCommunity SearchGraph ClusteringGraph Embedding+1Keyword Aware Influential Community Search in Large Attributed Graphs
We introduce a novel keyword-aware influential community query KICQ that finds the most influential communities from an attributed graph, where an influential community is defined as a closely connected group of vertices…
Community Search