Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: GraphP: Reducing Communication for PIM-Based Graph Processing with Efficient Data Partition
X-Stream: edge-centric graph processing using streaming partitions
One Trillion Edges: Graph Processing at Facebook-Scale
HAGP: A Hub-Centric Asynchronous Graph Processing Framework for Scale-Free Graph
Medusa: Simplified Graph Processing on GPUs
An overview of Medusa: simplified graph processing on GPUs
Advanced Coarsening Schemes for Graph Partitioning
FOG: A Fast Out-of-Core Graph Processing Framework
GraphH: High Performance Big Graph Analytics in Small Clusters
Blogel: A Block-Centric Framework for Distributed Computation on Real-World Graphs
GraVF: A vertex-centric distributed graph processing framework on FPGAs
PathGraph: A Path Centric Graph Processing System
Pregel: a system for large-scale graph processing
Distributed Computation of Large-scale Graph Problems
Massive graph processing on nanocomputers
Bipartite graph partitioning and data clustering
CIM/E Oriented Graph Database Model Architecture and Parallel Network Topology Processing
GraM: scaling graph computation to the trillions
GraphZ: Improving the Performance of Large-Scale Graph Analytics on Small-Scale Machines
Distributed Graph Storage And Querying System
A comparative evaluation of open-source graph processing platforms
A data structure for dynamic trees
Overview of the FIRE 2017 IRLeD Track: Information Retrieval from Legal Documents
Fuzzy topological spaces and fuzzy compactness
Kronecker Graphs: An Approach to Modeling Networks
Quantification of abdominal and pelvic floor muscle synergies in response to voluntary pelvic floor muscle contractions.