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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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06/18/2022
AutoGML: Fast Automatic Model Selection for Graph Machine Learning
Given a graph learning task, such as link prediction, on a new graph dat...
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02/15/2022
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs
How can we perform knowledge reasoning over temporal knowledge graphs (T...
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03/01/2021
Knowledge-Guided Dynamic Systems Modeling: A Case Study on Modeling River Water Quality
Modeling real-world phenomena is a focus of many science and engineering...
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11/11/2020
J-Recs: Principled and Scalable Recommendation Justification
Online recommendation is an essential functionality across a variety of ...
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06/22/2020
MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals
Given multiple input signals, how can we infer node importance in a know...
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02/05/2020
Dropout Prediction over Weeks in MOOCs by Learning Representations of Clicks and Videos
This paper addresses a key challenge in MOOC dropout prediction, namely ...
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02/05/2020
Dropout Prediction over Weeks in MOOCs via Interpretable Multi-Layer Representation Learning
Massive Open Online Courses (MOOCs) have become popular platforms for on...
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05/21/2019
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks
How can we estimate the importance of nodes in a knowledge graph (KG)? A...
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10/06/2017