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07/20/2023
SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models
Recent advances in large language models (LLMs) have demonstrated notabl...
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06/24/2023
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware
Graph neural networks (GNNs) are emerging for machine learning research ...
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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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10/11/2022
Linkless Link Prediction via Relational Distillation
Graph Neural Networks (GNNs) have been widely used on graph data and hav...
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01/28/2022
Explaining Graph-level Predictions with Communication Structure-Aware Cooperative Games
Explaining predictions made by machine learning models is important and ...
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10/17/2021
Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation
Graph Neural Networks (GNNs) have recently become popular for graph mach...
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12/23/2020
