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Found 11 papers, 6 papers with code
BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph Filtering
Knowledge Graphs (KGs) have proven essential in information processing and reasoning applications because they link related entities and give context-rich information, supporting efficient information retrieval and knowledge discovery; presenting information flow in a very effective manner.
CADGL: Context-Aware Deep Graph Learning for Predicting Drug-Drug Interactions
CADGL surpasses other state-of-the-art DDI prediction models, excelling in predicting clinically valuable novel DDIs, supported by rigorous case studies.
Ranked #1 on
Drug–drug Interaction Extraction
on DrugBank
Ink and Individuality: Crafting a Personalised Narrative in the Age of LLMs
Individuality and personalization comprise the distinctive characteristics that make each writer unique and influence their words in order to effectively engage readers while conveying authenticity.
LLMs as Writing Assistants: Exploring Perspectives on Sense of Ownership and Reasoning
Sense of ownership in writing confines our investment of thoughts, time, and contribution, leading to attachment to the output.
When SMILES have Language: Drug Classification using Text Classification Methods on Drug SMILES Strings
Complex chemical structures, like drugs, are usually defined by SMILES strings as a sequence of molecules and bonds.
Neural Control System for Continuous Glucose Monitoring and Maintenance
Precise glucose level monitoring is critical for people with diabetes to avoid serious complications.
SupplyGraph: A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks
However, there is a noticeable absence of research on applying GNNs to supply chain networks.
Optimizing Inventory Routing: A Decision-Focused Learning Approach using Neural Networks
Inventory Routing Problem (IRP) is a crucial challenge in supply chain management as it involves optimizing efficient route selection while considering the uncertainty of inventory demand planning.
Explainable Identification of Hate Speech towards Islam using Graph Neural Networks
Islamophobic language is a prevalent challenge on online social interaction platforms.
ML Algorithm Synthesizing Domain Knowledge for Fungal Spores Concentration Prediction
The pulp and paper manufacturing industry requires precise quality control to ensure pure, contaminant-free end products suitable for various applications.
ARBEx: Attentive Feature Extraction with Reliability Balancing for Robust Facial Expression Learning
We also employ learnable anchor points in the embedding space with label distributions and multi-head self-attention mechanism to optimize performance against weak predictions with reliability balancing, which is a strategy that leverages anchor points, attention scores, and confidence values to enhance the resilience of label predictions.
Ranked #1 on
Facial Expression Recognition (FER)
on AffWild2
