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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
Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload AwarenessCode2
Training Graph Neural Networks with 1000 LayersCode2
Causal structure learning with momentum: Sampling distributions over Markov Equivalence Classes of DAGsCode2
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate CommunicationCode1
Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNsCode1
Efficient Graph Deep Learning in TensorFlow with tf_geometricCode1
Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph MatchingCode1
Graph Sampling-based Meta-Learning for Molecular Property PredictionCode1
SIGN: Scalable Inception Graph Neural NetworksCode1
GRAPES: Learning to Sample Graphs for Scalable Graph Neural NetworksCode1
Heterogeneous Graph TransformerCode1
Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage AccessesCode1
GIST: Distributed Training for Large-Scale Graph Convolutional NetworksCode1
Generalize a Small Pre-trained Model to Arbitrarily Large TSP InstancesCode1
GraphSAINT: Graph Sampling Based Inductive Learning MethodCode1
Accurate, Efficient and Scalable Training of Graph Neural NetworksCode1
Retrofitting Temporal Graph Neural Networks with TransformerCode1
Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph GenerationCode1
Neighborhood Matching Network for Entity AlignmentCode1
HyFactor: Hydrogen-count labelled graph-based defactorization AutoencoderCode1
Efficient Neural Architecture Search for End-to-end Speech Recognition via Straight-Through GradientsCode1
Scalable Graph Neural Networks via Bidirectional PropagationCode1
Fine-tuning Partition-aware Item Similarities for Efficient and Scalable RecommendationCode0
A Sampling-based Framework for Hypothesis Testing on Large Attributed GraphsCode0
A Topology-aware Analysis of Graph Collaborative FilteringCode0
AGS-GNN: Attribute-guided Sampling for Graph Neural NetworksCode0
Sampling From Large GraphsCode0
Pre-Training on Dynamic Graph Neural NetworksCode0
Cooperative Minibatching in Graph Neural NetworksCode0
On Random Walk Based Graph SamplingCode0
Influence maximization in unknown social networks: Learning Policies for Effective Graph SamplingCode0
Little Ball of Fur: A Python Library for Graph SamplingCode0
Reducing Large Internet Topologies for Faster SimulationsCode0
Hierarchical graph sampling based minibatch learning with chain preservation and variance reductionCode0
Are Negative Samples Necessary in Entity Alignment? An Approach with High Performance, Scalability and RobustnessCode0
Characterizing the Efficiency of Graph Neural Network Frameworks with a Magnifying GlassCode0
Joint Network Topology Inference via a Shared Graphon ModelCode0
Class-level Structural Relation Modelling and Smoothing for Visual Representation LearningCode0
Empirical Risk Minimization and Stochastic Gradient Descent for Relational DataCode0
Accurate, Efficient and Scalable Graph EmbeddingCode0
Graph Sampling Based Deep Metric Learning for Generalizable Person Re-IdentificationCode0
Learning Dynamic Preference Structure Embedding From Temporal NetworksCode0
Beyond Self-Repellent Kernels: History-Driven Target Towards Efficient Nonlinear MCMC on General Graphs—0
Efficient Directed Graph Sampling via Gershgorin Disc Alignment—0
Bearing Fault Diagnosis using Graph Sampling and Aggregation Network—0
Edge Sampling of Graphs: Graph Signal Processing Approach With Edge Smoothness—0
Dynamic Sensor Placement Based on Sampling Theory for Graph Signals—0
Distributed Graph Neural Network Inference With Just-In-Time Compilation For Industry-Scale Graphs—0
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