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Found 6 papers, 1 papers with code
COfEE: A Comprehensive Ontology for Event Extraction from text
Data is published on the web over time in great volumes, but majority of the data is unstructured, making it hard to understand and difficult to interpret.
Joint Event Extraction along Shortest Dependency Paths using Graph Convolutional Networks
Also, an attention-based graph convolutional network is proposed, to carry syntactically related information along the shortest paths between argument candidates that captures and aggregates the latent associations between arguments; a problem that has been overlooked by most of the literature.
SimBins: An information-theoretic approach to link prediction in real multiplex networks
Accordingly, a similarity-based automatic general-purpose multiplex link prediction method -- SimBins -- is devised that quantifies the amount of connection uncertainty based on observed inter-layer correlations in a multiplex network.
Link Prediction
Physics and Society
Social and Information Networks
Data Analysis, Statistics and Probability
Link Prediction in Real-World Multiplex Networks via Layer Reconstruction Method
Furthermore, it is shown that missing links are highly predictable if their addition or removal do not significantly change the network structural features.
Physics and Society Social and Information Networks Data Analysis, Statistics and Probability
DeepLink: A Novel Link Prediction Framework based on Deep Learning
Most of the previous researchers have focused on the structural features of the networks.
Community Aware Random Walk for Network Embedding
Social network analysis provides meaningful information about behavior of network members that can be used for diverse applications such as classification, link prediction.
