Priyesh Vijayan

Scaling Graph Propagation Kernels for Predictive Learning
Benchmarking and Analysing Unsupervised Network Representation Learning and the Illusion of Progress
Revisiting Link Prediction on Heterogeneous Graphs with A Multi-view Perspective
Understanding Dynamic Scenes using Graph Convolution Networks
A Unified Non-Negative Matrix Factorization Framework for Semi Supervised Learning on Graphs
On Incorporating Structural Information to improve Dialogue Response Generation
Influence Maximization in Unknown Social Networks: Learning Policies for Effective Graph Sampling
Towards Accurate Vehicle Behaviour Classification With Multi-Relational Graph Convolutional Networks
Multi-label collective classification in multi-attribute multi-relational network data