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TGraph: A Tensor-centric Graph Processing Framework

Summary: Proposes TGraph, the first tensor-centric graph framework that runs on any XPU via Tensor Computation Runtimes (TCRs). It provides a tensor-based computation model with operator abstractions, plus tensor compression and out-of-XPU-memory execution, enabling cross-backend deployment and fast BFS/WCC/SSSP on PyTorch/TensorFlow DL backends and GPUs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7072
Venue
SIGMOD
Year
2025
Pagerank
4.3341665e-05
Overall Rank
9,472 | 34.11%
DOI
10.1145/3709731

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Rank Citing Paper Year Venue Pagerank
10,044 ACGraph: An Efficient Asynchronous Out-of-Core Graph Processing Framework 2026 SIGMOD 4.1945683e-05
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