GraphScale: A Framework to Enable Machine Learning over Billion-node Graphs
Fuente:
arXiv
Saved in:
| Main Authors: | Gupta, Vipul, Chen, Xin, Huang, Ruoyun, Meng, Fanlong, Chen, Jianjun, Yan, Yujun |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ATLAS: Efficient Out-of-Core Inference for Billion-Scale Graph Neural Networks
by: Naman, Pranjal, et al.
Published: (2026)
by: Naman, Pranjal, et al.
Published: (2026)
Characterizing the Dilemma of Performance and Index Size in Billion-Scale Vector Search and Breaking It with Second-Tier Memory
by: Cheng, Rongxin, et al.
Published: (2024)
by: Cheng, Rongxin, et al.
Published: (2024)
Large-Scale Graphs Community Detection using Spark GraphFrames
by: Apostol, Elena-Simona, et al.
Published: (2024)
by: Apostol, Elena-Simona, et al.
Published: (2024)
WindGP: Efficient Graph Partitioning on Heterogenous Machines
by: Zeng, Li, et al.
Published: (2024)
by: Zeng, Li, et al.
Published: (2024)
GraphSnapShot: Caching Local Structure for Fast Graph Learning
by: Liu, Dong, et al.
Published: (2024)
by: Liu, Dong, et al.
Published: (2024)
Breaking the Training Barrier of Billion-Parameter Universal Machine Learning Interatomic Potentials
by: Zhou, Yuanchang, et al.
Published: (2026)
by: Zhou, Yuanchang, et al.
Published: (2026)
HGraphScale: Hierarchical Graph Learning for Autoscaling Microservice Applications in Container-based Cloud Computing
by: Fang, Zhengxin, et al.
Published: (2025)
by: Fang, Zhengxin, et al.
Published: (2025)
AMPED: Accelerating MTTKRP for Billion-Scale Sparse Tensor Decomposition on Multiple GPUs
by: Wijeratne, Sasindu, et al.
Published: (2025)
by: Wijeratne, Sasindu, et al.
Published: (2025)
A General Framework for Augmenting Lossy Compressors with Topological Guarantees
by: Gorski, Nathaniel, et al.
Published: (2025)
by: Gorski, Nathaniel, et al.
Published: (2025)
Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data
by: Wang, Shilong, et al.
Published: (2025)
by: Wang, Shilong, et al.
Published: (2025)
BANG: Billion-Scale Approximate Nearest Neighbor Search using a Single GPU
by: V., Karthik, et al.
Published: (2024)
by: V., Karthik, et al.
Published: (2024)
FastGraph: Optimized GPU-Enabled Algorithms for Fast Graph Building and Message Passing
by: Agarwal, Aarush, et al.
Published: (2025)
by: Agarwal, Aarush, et al.
Published: (2025)
A Survey of Distributed Graph Algorithms on Massive Graphs
by: Meng, Lingkai, et al.
Published: (2024)
by: Meng, Lingkai, et al.
Published: (2024)
GraphFlash: Enabling Fast and Elastic Graph Processing on Serverless Infrastructure
by: Zhao, Chen, et al.
Published: (2026)
by: Zhao, Chen, et al.
Published: (2026)
On-the-fly Communication-and-Computing to Enable Representation Learning for Distributed Point Clouds
by: Chen, Xu, et al.
Published: (2024)
by: Chen, Xu, et al.
Published: (2024)
Parallel Unconstrained Local Search for Partitioning Irregular Graphs
by: Maas, Nikolai, et al.
Published: (2023)
by: Maas, Nikolai, et al.
Published: (2023)
Joint Offloading and Resource Allocation for Hybrid Cloud and Edge Computing in SAGINs: A Decision Assisted Hybrid Action Space Deep Reinforcement Learning Approach
by: Huang, Chong, et al.
Published: (2024)
by: Huang, Chong, et al.
Published: (2024)
ACGraph: An Efficient Asynchronous Out-of-Core Graph Processing Framework
by: Chen, Dechuang, et al.
Published: (2025)
by: Chen, Dechuang, et al.
Published: (2025)
A New Perspective of Graph Data and A Generic and Efficient Method for Large Scale Graph Data Traversal
by: Zhang, Chenglong
Published: (2020)
by: Zhang, Chenglong
Published: (2020)
Deep Learning Driven Buffer-Aided Cooperative Networks for B5G/6G: Challenges, Solutions, and Future Opportunities
by: Xu, Peng, et al.
Published: (2024)
by: Xu, Peng, et al.
Published: (2024)
Gensor: A Graph-based Construction Tensor Compilation Method for Deep Learning
by: Liu, Hangda, et al.
Published: (2025)
by: Liu, Hangda, et al.
Published: (2025)
PiPNN: Ultra-Scalable Graph-Based Nearest Neighbor Indexing
by: Rubel, Tobias, et al.
Published: (2026)
by: Rubel, Tobias, et al.
Published: (2026)
FedMIL: Federated-Multiple Instance Learning for Video Analysis with Optimized DPP Scheduling
by: Bastola, Ashish, et al.
Published: (2024)
by: Bastola, Ashish, et al.
Published: (2024)
GPU-accelerated Multi-relational Parallel Graph Retrieval for Web-scale Recommendations
by: Guo, Zhuoning, et al.
Published: (2025)
by: Guo, Zhuoning, et al.
Published: (2025)
Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration
by: Li, Zhonggen, et al.
Published: (2025)
by: Li, Zhonggen, et al.
Published: (2025)
A Context-Aware Knowledge Graph Platform for Stream Processing in Industrial IoT
by: Sciarroni, Monica Marconi, et al.
Published: (2026)
by: Sciarroni, Monica Marconi, et al.
Published: (2026)
RIPPLE++: An Incremental Framework for Efficient GNN Inference on Evolving Graphs
by: Naman, Pranjal, et al.
Published: (2026)
by: Naman, Pranjal, et al.
Published: (2026)
Graph for Science: From API based Programming to Graph Engine based Programming for HPC
by: Zhang, Yu, et al.
Published: (2023)
by: Zhang, Yu, et al.
Published: (2023)
λScale: Enabling Fast Scaling for Serverless Large Language Model Inference
by: Yu, Minchen, et al.
Published: (2025)
by: Yu, Minchen, et al.
Published: (2025)
Scene-Aware Latency Estimation for Microservices via Multi-Scale Graph Fusion
by: Sun, Zhichao, et al.
Published: (2026)
by: Sun, Zhichao, et al.
Published: (2026)
City-Scale Visibility Graph Analysis via GPU-Accelerated HyperBall
by: Hodge, Alex, et al.
Published: (2026)
by: Hodge, Alex, et al.
Published: (2026)
Deep Learning-Enabled Supercritical Flame Simulation at Detailed Chemistry and Real-Fluid Accuracy Towards Trillion-Cell Scale
by: Guo, Zhuoqiang, et al.
Published: (2025)
by: Guo, Zhuoqiang, et al.
Published: (2025)
NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism
by: Ai, Xin, et al.
Published: (2024)
by: Ai, Xin, et al.
Published: (2024)
Monadring: A lightweight consensus protocol to offer Validation-as-a-Service to AVS nodes
by: Zhang, Yu, et al.
Published: (2024)
by: Zhang, Yu, et al.
Published: (2024)
Coded Distributed (Batch) Matrix Multiplication over Galois Ring via RMFE
by: Kuang, Yi, et al.
Published: (2024)
by: Kuang, Yi, et al.
Published: (2024)
FlowWalker: A Memory-efficient and High-performance GPU-based Dynamic Graph Random Walk Framework
by: Mei, Junyi, et al.
Published: (2024)
by: Mei, Junyi, et al.
Published: (2024)
Federated Graph Learning with Graphless Clients
by: Fu, Xingbo, et al.
Published: (2024)
by: Fu, Xingbo, et al.
Published: (2024)
RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks
by: Niam, Arefin, et al.
Published: (2025)
by: Niam, Arefin, et al.
Published: (2025)
Data Dams: A Novel Framework for Regulating and Managing Data Flow in Large-Scale Systems
by: Bouke, Mohamed Aly, et al.
Published: (2025)
by: Bouke, Mohamed Aly, et al.
Published: (2025)
Graph-based Gossiping for Communication Efficiency in Decentralized Federated Learning
by: Nguyen, Huong, et al.
Published: (2025)
by: Nguyen, Huong, et al.
Published: (2025)
Similar Items
-
ATLAS: Efficient Out-of-Core Inference for Billion-Scale Graph Neural Networks
by: Naman, Pranjal, et al.
Published: (2026) -
Characterizing the Dilemma of Performance and Index Size in Billion-Scale Vector Search and Breaking It with Second-Tier Memory
by: Cheng, Rongxin, et al.
Published: (2024) -
Large-Scale Graphs Community Detection using Spark GraphFrames
by: Apostol, Elena-Simona, et al.
Published: (2024) -
WindGP: Efficient Graph Partitioning on Heterogenous Machines
by: Zeng, Li, et al.
Published: (2024) -
GraphSnapShot: Caching Local Structure for Fast Graph Learning
by: Liu, Dong, et al.
Published: (2024)