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Graph Sampling

Training GNNs or generating graph embeddings requires graph samples.

Papers

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Showing 1–50 of 101 papers

TitleStatusHype
Accelerating Scientific Discovery with Generative Knowledge Extraction, Graph-Based Representation, and Multimodal Intelligent Graph ReasoningCode3
TF-GNN: Graph Neural Networks in TensorFlowCode3
Causal structure learning with momentum: Sampling distributions over Markov Equivalence Classes of DAGsCode2
Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload AwarenessCode2
Training Graph Neural Networks with 1000 LayersCode2
Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNsCode1
Retrofitting Temporal Graph Neural Networks with TransformerCode1
GRAPES: Learning to Sample Graphs for Scalable Graph Neural NetworksCode1
Graph Sampling-based Meta-Learning for Molecular Property PredictionCode1
Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage AccessesCode1
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate CommunicationCode1
Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph MatchingCode1
Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph GenerationCode1
HyFactor: Hydrogen-count labelled graph-based defactorization AutoencoderCode1
GIST: Distributed Training for Large-Scale Graph Convolutional NetworksCode1
Efficient Graph Deep Learning in TensorFlow with tf_geometricCode1
Generalize a Small Pre-trained Model to Arbitrarily Large TSP InstancesCode1
Efficient Neural Architecture Search for End-to-end Speech Recognition via Straight-Through GradientsCode1
Scalable Graph Neural Networks via Bidirectional PropagationCode1
Accurate, Efficient and Scalable Training of Graph Neural NetworksCode1
Neighborhood Matching Network for Entity AlignmentCode1
SIGN: Scalable Inception Graph Neural NetworksCode1
Heterogeneous Graph TransformerCode1
GraphSAINT: Graph Sampling Based Inductive Learning MethodCode1
Keyed Chaotic Dynamics for Privacy-Preserving Neural Inference—0
Simple yet Effective Graph Distillation via Clustering—0
Beyond Self-Repellent Kernels: History-Driven Target Towards Efficient Nonlinear MCMC on General Graphs—0
The Limits of Graph Samplers for Training Inductive Recommender Systems: Extended results—0
Distributed Graph Neural Network Inference With Just-In-Time Compilation For Industry-Scale Graphs—0
Hierarchical graph sampling based minibatch learning with chain preservation and variance reductionCode0
GraphSOS: Graph Sampling and Order Selection to Help LLMs Understand Graphs Better—0
BMG-Q: Localized Bipartite Match Graph Attention Q-Learning for Ride-Pooling Order Dispatch—0
Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks—0
Towards joint graph learning and sampling set selection from data—0
Graph Sampling for Scalable and Expressive Graph Neural Networks on Homophilic Graphs—0
GCM-Net: Graph-enhanced Cross-Modal Infusion with a Metaheuristic-Driven Network for Video Sentiment and Emotion Analysis—0
Federated Graph Learning with Adaptive Importance-based Sampling—0
Bearing Fault Diagnosis using Graph Sampling and Aggregation Network—0
Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data—0
Edge Sampling of Graphs: Graph Signal Processing Approach With Edge Smoothness—0
Light-weight End-to-End Graph Interest Network for CTR Prediction in E-commerce Search—0
AGS-GNN: Attribute-guided Sampling for Graph Neural NetworksCode0
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training—0
A Sampling-based Framework for Hypothesis Testing on Large Attributed GraphsCode0
GLISP: A Scalable GNN Learning System by Exploiting Inherent Structural Properties of Graphs—0
A Poincaré Inequality and Consistency Results for Signal Sampling on Large Graphs—0
Classification of developmental and brain disorders via graph convolutional aggregation—0
Interpretable A-posteriori Error Indication for Graph Neural Network Surrogate Models—0
Cooperative Minibatching in Graph Neural NetworksCode0
Graph Neural Network for Stress Predictions in Stiffened Panels Under Uniform Loading—0
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