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06/05/2023
Towards Arbitrarily Expressive GNNs in O(n^2) Space by Rethinking Folklore Weisfeiler-Lehman
Message passing neural networks (MPNNs) have emerged as the most popular...
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09/19/2022
Interpreting mechanism of Synergism of drug combinations using attention based hierarchical graph pooling
The synergistic drug combinations provide huge potentials to enhance the...
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05/26/2022
How Powerful are K-hop Message Passing Graph Neural Networks
The most popular design paradigm for Graph Neural Networks (GNNs) is 1-h...
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03/19/2022
PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs
Optimization of directed acyclic graph (DAG) structures has many applica...
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05/14/2021
Interpretable Drug Synergy Prediction with Graph Neural Networks for Human-AI Collaboration in Healthcare
We investigate molecular mechanisms of resistant or sensitive response o...
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11/16/2018
