IEEE

NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification

Abstract: Tokenized graph Transformers have advanced node classification by transforming graphs into token sequences, but existing methods suffer from limited flexibility due to single-type token ...
GitHub

Zero-Training Context Extension for Transformer Encoders via Nonlinear Absolute Positional Embeddings Interpolation

Official implementation of "Zero-Training Context Extension for Transformer Encoders via Nonlinear Absolute Positional Embeddings Interpolation". Paper preprint is coming soon. This implementation ...
IEEE

Wi-Fi-Based Human Fall and Activity Recognition Using Transformer-Based Encoder–Decoder and Graph Neural Networks

Abstract: Human pose estimation and action recognition have received attention due to their critical roles in healthcare monitoring, rehabilitation, and assistive technologies. In this study, we ...
GitHub

LSTM-based Sequence-to-Sequence Chatbot

Long Short-Term Memory (LSTM) network with sequence-to-sequence architecture for building conversational chatbots with attention mechanism. lstm-chatbot/ ├── README.md ├── FEATURES.md # Additional ...