A collection of resources on dynamic/streaming/temporal/evolving graph processing systems, databases, data structures, datasets, and related academic and industrial work
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Updated
Apr 4, 2023
A collection of resources on dynamic/streaming/temporal/evolving graph processing systems, databases, data structures, datasets, and related academic and industrial work
Working with time-dependent networks in Julia
High-performance C++20 + Python engine for dynamic and incremental graph analytics on evolving graphs — BFS, SSSP, connected components, triangles, k-core and PageRank.
Lifelong Learning of Graph Neural Networks for Open-World Node Classification
A collection of resources on dynamic/streaming/temporal/evolving graph processing systems, databases, data structures, datasets, and related academic and industrial work
NUMA-aware parallel packed CSR data structure for large-scale dynamic graph data
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