
Influenceguided Data Augmentation for Neural Tensor Completion
How can we predict missing values in multidimensional data (or tensors)...
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Edge: Enriching Knowledge Graph Embeddings with External Text
Knowledge graphs suffer from sparsity which degrades the quality of repr...
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Personalized Visualization Recommendation
Visualization recommendation work has focused solely on scoring visualiz...
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Learning Contextualized Knowledge Structures for Commonsense Reasoning
Recently, neuralsymbolic architectures have achieved success on commons...
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Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation
Symbolic knowledge (e.g., entities, relations, and facts in a knowledge ...
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Heterogeneous Graphlets
In this paper, we introduce a generalization of graphlets to heterogeneo...
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Graph Deep Factors for Forecasting
Deep probabilistic forecasting techniques have recently been proposed fo...
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MLbased Visualization Recommendation: Learning to Recommend Visualizations from Data
Visualization recommendation seeks to generate, score, and recommend to ...
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From Static to Dynamic Node Embeddings
We introduce a general framework for leveraging graph stream data for te...
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From Community to Rolebased Graph Embeddings
Roles are sets of structurally similar nodes that are more similar to no...
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Lineartime Hierarchical Community Detection
Community detection in graphs has many important and fundamental applica...
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HigherOrder Ranking and Link Prediction: From Closing Triangles to Closing HigherOrder Motifs
In this paper, we introduce the notion of motif closure and describe hig...
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Figure Captioning with Reasoning and SequenceLevel Training
Figures, such as bar charts, pie charts, and line plots, are widely used...
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Temporal Network Representation Learning
Networks evolve continuously over time with the addition, deletion, and ...
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Heterogeneous Network Motifs
Many realworld applications give rise to large heterogeneous networks w...
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Higherorder Graph Convolutional Networks
Following the success of deep convolutional networks in various vision a...
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Attention Models in Graphs: A Survey
Graphstructured data arise naturally in many different application doma...
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Sungchul Kim
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