Year | Title | Exploration Approach | Paper | Code |
---|---|---|---|---|
2014 | Efficient subgraph matching using gpus | DFS | ||
2014 | Pgx. iso: parallel and efficient in-memory engine for subgraph isomorphism | BFS | ||
2016 | Network motif discovery: A GPU approach | BFS | ||
2015 | Fast subgraph matching on large graphs using graphics processors | BFS & DFS | ||
2018 | An Efficient Implementation of a Subgraph Isomorphism Algorithm for GPUs | DFS & BFS | ||
2020 | GPU-Accelerated Subgraph Enumeration on Partitioned Graphs | |||
2020 | Fast Gunrock Subgraph Matching (GSM) on GPUs | BFS | ||
2020 | Gsi: Gpu-friendly subgraph isomorphism |
Title | Paper | Code |
---|---|---|
Stinger: High performance data structure for streaming graphs | ||
Llama: Efficient graph analytics using large multiversioned arrays | ||
DISTINGER: A distributed graph data structure for massive dynamic graph processing | ||
Graphin: An online high performance incremental graph processing framework | ||
Time-evolving graph processing at scale | ||
faimGraph: high performance management of fully-dynamic graphs under tight memory constraints on the GPU | ||
Hornet: An efficient data structure for dynamic sparse graphs and matrices on gpus | ||
GraphOne A Data Store for Real-time Analytics on Evolving Graphs | ||
Low-latency graph streaming using compressed purely-functional trees |
Title | Paper | Code |
---|---|---|
Practice of streaming and dynamic graphs: Concepts, models, systems, and parallelism |
Title | Paper | Code |
---|---|---|
Size bounds and query plans for relational joins | ||
Skew strikes back: New developments in the theory of join algorithms |
Title | Paper | Code |
---|---|---|
Leapfrog triejoin: A simple, worst-case optimal join algorithm | ||
Multipredicate join algorithms for accelerating relational graph processing on GPUs |
Title | Paper | Code |
---|---|---|
Flexible caching in trie joins |
Title | Paper | Code |
---|---|---|
Graphflow: An active graph database | ||
Emptyheaded: A relational engine for graph processing | ||
Optimizing subgraph queries by combining binary and worst-case optimal joins | ||
Adopting worst-case optimal joins in relational database systems |