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11/23/2022
Supervised Hypergraph Reconstruction
We study an issue commonly seen with graph data analysis: many real-worl...
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02/28/2022
Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning
Subgraph-based graph representation learning (SGRL) has been recently pr...
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01/15/2021
Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks
Temporal networks serve as abstractions of many real-world dynamic syste...
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11/22/2020
Revisiting graph neural networks and distance encoding in a practical view
Graph neural networks (GNNs) are widely used in the applications based o...
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08/31/2020
Distance Encoding – Design Provably More Powerful Graph Neural Networks for Structural Representation Learning
Learning structural representations of node sets from graph-structured d...
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12/14/2018
Using Detailed Access Trajectories for Learning Behavior Analysis
Student learning activity in MOOCs can be viewed from multiple perspecti...
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12/12/2018
Transfer Learning using Representation Learning in Massive Online Open Courses
In MOOCs predictive models of student behavior support many aspects of l...
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12/12/2018