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09/02/2023
Bias and Fairness in Large Language Models: A Survey
Rapid advancements of large language models (LLMs) have enabled the proc...
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07/20/2023
FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback
Captions are crucial for understanding scientific visualizations and doc...
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07/08/2023
Fairness-Aware Graph Neural Networks: A Survey
Graph Neural Networks (GNNs) have become increasingly important due to t...
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03/28/2023
Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model
We consider dynamic pricing strategies in a streamed longitudinal data s...
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02/23/2023
Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization
Effective figure captions are crucial for clear comprehension of scienti...
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12/22/2022
Graph Learning with Localized Neighborhood Fairness
Learning fair graph representations for downstream applications is becom...
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09/30/2022
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs
Temporal networks model a variety of important phenomena involving timed...
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08/18/2022
Implicit Session Contexts for Next-Item Recommendations
Session-based recommender systems capture the short-term interest of a u...
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07/26/2022
Bundle MCR: Towards Conversational Bundle Recommendation
Bundle recommender systems recommend sets of items (e.g., pants, shirt, ...
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08/23/2021
Influence-guided Data Augmentation for Neural Tensor Completion
How can we predict missing values in multi-dimensional data (or tensors)...
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04/11/2021
Edge: Enriching Knowledge Graph Embeddings with External Text
Knowledge graphs suffer from sparsity which degrades the quality of repr...
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02/12/2021
Personalized Visualization Recommendation
Visualization recommendation work has focused solely on scoring visualiz...
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10/24/2020
Learning Contextualized Knowledge Structures for Commonsense Reasoning
Recently, neural-symbolic architectures have achieved success on commons...
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10/24/2020
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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10/23/2020
Heterogeneous Graphlets
In this paper, we introduce a generalization of graphlets to heterogeneo...
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10/14/2020
Graph Deep Factors for Forecasting
Deep probabilistic forecasting techniques have recently been proposed fo...
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09/25/2020
ML-based Visualization Recommendation: Learning to Recommend Visualizations from Data
Visualization recommendation seeks to generate, score, and recommend to ...
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09/21/2020
From Static to Dynamic Node Embeddings
We introduce a general framework for leveraging graph stream data for te...
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08/22/2019
From Community to Role-based Graph Embeddings
Roles are sets of structurally similar nodes that are more similar to no...
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06/14/2019
Linear-time Hierarchical Community Detection
Community detection in graphs has many important and fundamental applica...
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06/12/2019
Higher-Order Ranking and Link Prediction: From Closing Triangles to Closing Higher-Order Motifs
In this paper, we introduce the notion of motif closure and describe hig...
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06/07/2019
Figure Captioning with Reasoning and Sequence-Level Training
Figures, such as bar charts, pie charts, and line plots, are widely used...
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04/12/2019
Temporal Network Representation Learning
Networks evolve continuously over time with the addition, deletion, and ...
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01/28/2019
Heterogeneous Network Motifs
Many real-world applications give rise to large heterogeneous networks w...
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09/12/2018
Higher-order Graph Convolutional Networks
Following the success of deep convolutional networks in various vision a...
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07/20/2018
