Graph neural networks (GNNs) have made rapid developments in the recent years. Due to
their great ability in modeling graph-structured data, GNNs are vastly used in various …

With the growing popularity of deep-learning based NLP models, comes a need for
interpretable systems. But what is interpretability, and what constitutes a high-quality …

Due to the black-box nature of deep learning models, methods for explaining the models'
results are crucial to gain trust from humans and support collaboration between AIs and …

Recent advancements in natural language processing (NLP) have reshaped the industry,
with powerful language models such as GPT-3 achieving superhuman performance on …

Explainable AI (XAI) is pivotal for understanding complex'black-box'models, particularly in
text analysis, where transparency is essential yet challenging. This paper introduces SIDU …

Sentiment analysis plays an indispensable role to help understand people's opinions
automatically based on their reviews. Existing research on sentiment analysis mainly …

Stock trend forecasting plays a great role in maximizing the profit of stock investment.
However, due to the high volatility and non-stationarity of the stock market, accurate trend …

With more data and computing resources available these days, we have seen many novel
Natural Language Processing (NLP) models breaking one performance record after …