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03/04/2023
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders
Causal analysis for time series data, in particular estimating individua...
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02/10/2022
TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations
Taxonomies are fundamental to many real-world applications in various do...
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10/07/2021
Creating Training Sets via Weak Indirect Supervision
Creating labeled training sets has become one of the major roadblocks in...
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09/05/2021
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Recommendation
To alleviate data sparsity and cold-start problems of traditional recomm...
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10/23/2020
BiTe-GCN: A New GCN Architecture via BidirectionalConvolution of Topology and Features on Text-Rich Networks
Graph convolutional networks (GCNs), aiming to integrate high-order neig...
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07/01/2020
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation
To combat COVID-19, both clinicians and scientists need to digest the va...
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03/27/2020
