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04/20/2023
Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs
How can we learn effective node representations on textual graphs? Graph...
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02/24/2023
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction
Transparency and accountability have become major concerns for black-box...
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06/09/2022
ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning
What target labels are most effective for graph neural network (GNN) tra...
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12/10/2021
TempoQR: Temporal Question Reasoning over Knowledge Graphs
Knowledge Graph Question Answering (KGQA) involves retrieving facts from...
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10/26/2021
Convergent Boosted Smoothing for Modeling Graph Data with Tabular Node Features
For supervised learning with tabular data, decision tree ensembles produ...
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10/12/2021
Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation
Consistency training is a popular method to improve deep learning models...
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07/29/2021
