
Adversarial Robustness of Probabilistic Network Embedding for Link Prediction
In today's networked society, many realworld problems can be formalized...
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CSNE: Conditional Signed Network Embedding
Signed networks are mathematical structures that encode positive and neg...
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Network Representation Learning for Link Prediction: Are we improving upon simple heuristics?
Network representation learning has become an active research area in re...
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FONDUE: A Framework for Node Disambiguation Using Network Embeddings
Realworld data often presents itself in the form of a network. Examples...
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Scalable Dyadic Independence Models with Local and Global Constraints
An important challenge in the field of exponential random graphs (ERGs) ...
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ALPINE: Active Link Prediction using Network Embedding
Many realworld problems can be formalized as predicting links in a part...
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Discovering Interesting Cycles in Directed Graphs
Cycles in graphs often signify interesting processes. For example, cycli...
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Conditional tSNE: Complementary tSNE embeddings through factoring out prior information
Dimensionality reduction and manifold learning methods such as tDistrib...
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ExplaiNE: An Approach for Explaining Network Embeddingbased Link Predictions
Networks are powerful data structures, but are challenging to work with ...
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Conditional Network Embeddings
Network embeddings map the nodes of a given network into ddimensional E...
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Interactive Visual Data Exploration with Subjective Feedback: An InformationTheoretic Approach
Visual exploration of highdimensional realvalued datasets is a fundame...
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Subjectively Interesting Subgroup Discovery on Realvalued Targets
Deriving insights from highdimensional data is one of the core problems...
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Jefrey Lijffijt
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