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Weighting-Based Treatment Effect Estimation via Distribution Learning
Existing weighting methods for treatment effect estimation are often bui...
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A Two-Phase Approach for Abstractive Podcast Summarization
Podcast summarization is different from summarization of other data form...
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Topic-Aware Abstractive Text Summarization
Automatic text summarization aims at condensing a document to a shorter ...
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A Baseline Analysis for Podcast Abstractive Summarization
Podcast summary, an important factor affecting end-users' listening deci...
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A Survey of Information Cascade Analysis: Models, Predictions and Recent Advances
The deluge of digital information in our daily life – from user-generate...
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A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact
Quantifying and predicting the long-term impact of scientific writings o...
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Continual Graph Learning
Graph Neural Networks (GNNs) have recently received significant research...
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Meta-GNN: On Few-shot Node Classification in Graph Meta-learning
Meta-learning has received a tremendous recent attention as a possible a...
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