Srinivasan Parthasarathy

PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks
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
Hypergraph Clustering by Iteratively Reweighted Modularity Maximization
A Unified Non-Negative Matrix Factorization Framework for Semi Supervised Learning on Graphs
HPRA: Hyperedge Prediction using Resource Allocation
A New Measure of Modularity in Hypergraphs: Theoretical Insights and Implications for Effective Clustering
Adapting Community Detection Algorithms for Disease Module Identification in Heterogeneous Biological Networks
Role Discovery in Graphs Using Global Features: Algorithms, Applications and a Novel Evaluation Strategy