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TenGraph: A Tensor-Based Graph Query Engine

Summary: TenGraph maps in-memory graph topology into a compact tensor storage and composes graph-query operators as batched tensor computations to exploit DL frameworks' hardware-optimized kernels. PyTorch prototype yields 50–100× GPU vs CPU speedups and outperforms other systems. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13704
Venue
VLDB
Year
2024
Pagerank
4.2561557e-05
Overall Rank
9,916 | 31.02%
DOI
10.14778/3704965.3704967

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
10,136 Accelerating Triangle-Connected Truss Community Search Across Heterogeneous Hardware 2026 SIGMOD 4.1945683e-05
10,292 Aquila: A High-Concurrency System for Incremental Graph Query 2026 VLDB 4.1945683e-05
10,733 Subgraph Matching: A New Decomposition Based Approach 2025 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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