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Graph Partitioning for Lightweight Gnns: A Theoretical and Experimental Study

https://doi.org/10.2139/ssrn.4830902
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Influence maximization in social networks using graph embedding and graph neural network
inferredcites →https://doi.org/10.1016/j.neunet.2021.10.023openalex-extracted
Minimum spanning tree based graph neural network for emotion classification using EEG
inferredcites →https://doi.org/10.1016/j.neunet.2022.07.014openalex-extracted
MRGAT: Multi-Relational Graph Attention Network for knowledge graph completion
inferredcites →https://doi.org/10.1016/j.neunet.2023.06.026openalex-extracted
Attribute-driven streaming edge partitioning with reconciliations for distributed graph neural network training
inferredcites →https://doi.org/10.1016/j.neunet.2023.07.051openalex-extracted
Glimpse and focus: Global and local-scale graph convolution network for skeleton-based action recognition
inferredcites →https://doi.org/10.1016/j.neunet.2024.106169openalex-extracted
Node-personalized multi-graph convolutional networks for recommendation
inferredcites →https://doi.org/10.1109/ijcnn.2005.1555942openalex-extracted
A new model for learning in graph domains
inferredcites →https://doi.org/10.1109/ijcnn52387.2021.9533429openalex-extracted
Ripple Walk Training: A Subgraph-based Training Framework for Large and Deep Graph Neural Network
inferredcites →https://doi.org/10.1109/tii.2020.3009280openalex-extracted
Variational Graph Neural Networks for Road Traffic Prediction in Intelligent Transportation Systems
inferredcites →https://doi.org/10.1109/tip.2023.3334954openalex-extracted
Dynamic Dense Graph Convolutional Network for Skeleton-Based Human Motion Prediction
inferredcites →https://doi.org/10.1109/tip.2023.3345177openalex-extracted
Facial Prior Guided Micro-Expression Generation
inferredcites →https://doi.org/10.1109/tmm.2023.3271811openalex-extracted
Temporal Decoupling Graph Convolutional Network for Skeleton-Based Gesture Recognition
inferredcites →https://doi.org/10.1109/tnsm.2023.3257993openalex-extracted
Applying Graph Neural Networks to Support Decision Making on Collective Intelligent Transportation Systems
inferredcites →https://doi.org/10.1137/s1064827595287997openalex-extracted
A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs
inferredcites →https://doi.org/10.1145/2339530.2339722openalex-extracted
Streaming graph partitioning for large distributed graphs
inferredcites →https://doi.org/10.1145/2556195.2556213openalex-extracted
FENNEL
inferredcites →https://doi.org/10.1145/3097983.3098033openalex-extracted
Graph Edge Partitioning via Neighborhood Heuristic
inferredcites →https://doi.org/10.1145/3219819.3219890openalex-extracted
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
inferredcites →https://doi.org/10.1145/3292500.3330925openalex-extracted
Cluster-GCN
inferredcites →https://doi.org/10.1145/3292500.3330950openalex-extracted
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification
inferredcites →https://doi.org/10.1145/3366423.3379994openalex-extracted
Few-Shot Learning for New User Recommendation in Location-based Social Networks
inferredcites →https://doi.org/10.1145/3371140.3371141openalex-extracted
Estimating locations of social media content through a graph-based link prediction
inferredcites →https://doi.org/10.1145/3580516openalex-extracted
Opinion Leaders for Information Diffusion Using Graph Neural Network in Online Social Networks
inferredcites →https://doi.org/10.1609/aaai.v33i01.33017370openalex-extracted
Graph Convolutional Networks for Text Classification
inferredcites →https://doi.org/10.4230/lipics.ecoop.2025.6openalex-extracted
Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-Equivalent APIs in Open-Source Repositories
inferredcites →https://doi.org/10.4230/lipics.sea.2024.20openalex-extracted
Targeted Branching for the Maximum Independent Set Problem Using Graph Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1706.02216openalex-extracted
Inductive Representation Learning on Large Graphs
inferredcites →https://doi.org/10.48550/arxiv.1801.10247openalex-extracted
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
inferredcites →https://doi.org/10.48550/arxiv.1809.05343openalex-extracted
Adaptive Sampling Towards Fast Graph Representation Learning
inferredcites →https://doi.org/10.48550/arxiv.1811.05868openalex-extracted
Multimodal Temporal Graph Neural Networks for Detecting and Disrupting Dark-Web Cybercrime Communities: A Vendor-Disjoint Inductive Evaluation Finding No Measurable Benefit from the Graph
inferredcites →https://doi.org/10.48550/arxiv.2005.00687openalex-extracted
Open Graph Benchmark: Datasets for Machine Learning on Graphs
inferredcites →https://doi.org/10.48550/arxiv.2007.02901openalex-extracted
Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks
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