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08/27/2023
Topological Augmentation for Class-Imbalanced Node Classification
Class imbalance is prevalent in real-world node classification tasks and...
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05/29/2023
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders
Multivariate time series (MTS) imputation is a widely studied problem in...
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05/17/2023
Characterizing Long-Tail Categories on Graphs
Long-tail data distributions are prevalent in many real-world networks, ...
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02/11/2023
Fairness-aware Multi-view Clustering
In the era of big data, we are often facing the challenge of data hetero...
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09/27/2022
Retrieval Based Time Series Forecasting
Time series data appears in a variety of applications such as smart tran...
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08/15/2022
ARIEL: Adversarial Graph Contrastive Learning
Contrastive learning is an effective unsupervised method in graph repres...
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05/31/2022
COIN: Co-Cluster Infomax for Bipartite Graphs
Bipartite graphs are powerful data structures to model interactions betw...
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02/14/2022
Adversarial Graph Contrastive Learning with Information Regularization
Contrastive learning is an effective unsupervised method in graph repres...
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12/02/2021
Multi-Domain Transformer-Based Counterfactual Augmentation for Earnings Call Analysis
Earnings call (EC), as a periodic teleconference of a publicly-traded co...
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06/09/2021
On Sample Based Explanation Methods for NLP:Efficiency, Faithfulness, and Semantic Evaluation
In the recent advances of natural language processing, the scale of the ...
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05/19/2021
Heterogeneous Contrastive Learning
With the advent of big data across multiple high-impact applications, we...
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02/15/2021