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.
Survey of Recent Advances in Visual Question Answering
Community-based Outlier Detection in Edge-attributed Graphs