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Graph Sampling

Training GNNs or generating graph embeddings requires graph samples.

Papers

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Showing 1–25 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
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