Preface Ripon Patgiri, Ganesh ChandraDeka and Anupam Biswas 1. CESDAM: Centered subgraph data matrix for large graph representation Anupam Biswas and Bhaskar Biswas 2. Bivariate, cluster and suitability analysis of NoSQL Solutions for big graph applications Samiya Khan, Xiufeng Liu, Syed Arshad Ali and Mansaf Alam 3. An empirical investigation on BigGraph using deep learning Lilapati Waikhom and Ripon Patgiri 4. Analyzing correlation between quality and accuracy of graph clustering Soumita Das and Anupam Biswas 5. geneBF: Filtering protein-coded gene graph data using bloom filter Sabuzima Nayak and Ripon Patgiri 6. Processing large graphs with an alternative representation Ravi Kishore Devarapalli and Anupam Biswas 7. MapReduce based convolutional graph neural networks: A comprehensive review U. Kartheek Chandra Patnaik and Ripon Patgiri 8. Fast exact triangle counting in large graphs using SIMD acceleration Kaushik Ravichandran, Akshara Subramaniasivam, Aishwarya PS and Kumar NS 9. A comprehensive investigation on attack graphs M Franckie Singha and Ripon Patgiri 10. Qubit representation of a binary tree and its operations in quantum computation Arnab Roy, Joseph L Pachuau and Anish Kumar Saha 11. Modified ML-KNN: Role of similarity measures and nearest neighbor configuration in multi label text classification on big social network graph data Saurabh Kumar Srivastava, Ankit Vidyarthi and Sandeep Kumar Singh 12. Big graph based online learning through social networks Rahul Chandra Kushwaha 13. Community detection in large-scale real-world networks Dhananjay Kumar Singh and Prasenjit Choudhury 14. Power rank: An interactive web page ranking algorithm Ankit Vidyarthi and Pawan Singh 15. GA based energy efficient modelling of a wireless sensor network Anish Kumar Saha, Joseph L Pachuau, Arnab Roy and C. T. Bhunia 16. The major challenges of big graph and their solutions: A review Fitsum Gebreegziabher and Ripon Patgiri 17. An investigation on socio-cyber crime graph V S NageswaraRao Kadiyala and Ripon Patgiri