• STWalk: Learning Trajectory Representations in Temporal Graphs

    • Accepted as main research track paper in CoDS-COMAD 2018. STWalk analyzes the temporal behavior of nodes in dynamic graphs by doing random walks on graph at a current & past time-steps. STWalk outperforms baseline algorithms on 3 real-world datasets. Implemented in Python, TensorFlow-Keras.

    • Link to paper,    Link to code and data,    Cite(BibTex)

  • Survey of Recent Advances in Visual Question Answering

    • The paper describes the approaches taken by various algorithms to extract image features, text features and the way these are employed to predict answers.

    • Link to paper,    Cite(BibTex)

  • Community-based Outlier Detection in Edge-attributed Graphs