Effective and Efficient Distributed Temporal Graph Learning through Hotspot Memory Sharing

Summary: MemShare: a distributed MTGNN system that reduces memory communication and staleness by replicating a small set of hotspot (shared) nodes across machines/GPUs—localizing node memory access. Uses shared-node-centric partitioning, boundary-decay sampling and synchronous smoothing aggregation to fix load imbalance and aggregation staleness, improving accuracy and training efficiency over prior distributed MTGNN systems. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 13945
Venue: VLDB
Year: 2025
Pagerank: 4.1945683e-05
Overall Rank: 10,656 | 25.87%
DOI: 10.14778/3746405.3746430

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Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,267	FlareDTDG: Harnessing Temporal Recency for Scalable Discrete-Time Dynamic Graph Training	2026	VLDB	4.1945683e-05

Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
411	PyTorch Distributed: Experiences on Accelerating Data Parallel Training	2020	VLDB	0.00023906921
636	APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding	2021	SIGMOD	0.00018846494
1,387	TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs	2022	VLDB	0.00012261568
2,400	ByteGNN: Efficient Graph Neural Network Training at Large Scale	2022	VLDB	8.8955105e-05
3,709	Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank	2023	VLDB	6.8242482e-05
4,047	Orca: Scalable Temporal Graph Neural Network Training with Theoretical Guarantees	2023	SIGMOD	6.4972105e-05
5,345	NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams	2024	VLDB	5.5567697e-05
5,475	ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs	2024	VLDB	5.4869706e-05
7,014	SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement	2024	SIGMOD	4.8616315e-05

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