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Graph Similarity

Papers

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Showing 51–100 of 113 papers

TitleStatusHype
Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation LearningCode0
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity LearningCode0
FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid?—0
Graph similarity learning for change-point detection in dynamic networksCode0
Weisfeiler-leman in the bamboo: Novel AMR graph metrics and a benchmark for AMR graph similarity.Code0
Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation LearningCode0
SPA-GCN: Efficient and Flexible GCN Accelerator with an Application for Graph Similarity Computation—0
Weisfeiler-Leman in the BAMBOO: Novel AMR Graph Metrics and a Benchmark for AMR Graph Similarity—0
Towards Clustering-friendly Representations: Subspace Clustering via Graph FilteringCode0
Graph Similarity Description: How Are These Graphs Similar?—0
Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning—0
An Empirical Study of the Expressiveness of Graph Kernels and Graph Neural Networks—0
Graph-Graph Similarity Network—0
Multi-level Graph Matching Networks for Deep and Robust Graph Similarity Learning—0
Some Algorithms on Exact, Approximate and Error-Tolerant Graph Matching—0
Image-to-Image Retrieval by Learning Similarity between Scene GraphsCode0
A graph similarity for deep learning—0
Node-Centric Graph Learning from Data for Brain State Identification—0
Learning Graph Edit Distance by Graph Neural Networks—0
NASGEM: Neural Architecture Search via Graph Embedding Method—0
Feedback Graph Attention Convolutional Network for Medical Image Enhancement—0
Visual-Semantic Matching by Exploring High-Order Attention and Distraction—0
Graph Partitioning and Graph Neural Network based Hierarchical Graph Matching for Graph Similarity Computation—0
CoSimGNN: Towards Large-scale Graph Similarity Computation—0
Inductive and Unsupervised Representation Learning on Graph Structured Objects—0
Tree++: Truncated Tree Based Graph KernelsCode0
Fast and Scalable Complex Network Descriptor Using PageRank and Persistent Homology—0
Deep Graph Similarity Learning: A Survey—0
A Maximum Entropy approach to Massive Graph Spectra—0
A Unifying Framework for Spectrum-Preserving Graph Sparsification and CoarseningCode0
Rethinking Kernel Methods for Node Representation Learning on GraphsCode0
Hierarchical Graph Matching Networks for Deep Graph Similarity Learning—0
DDGK: Learning Graph Representations for Deep Divergence Graph KernelsCode0
SPI-GCN: A Simple Permutation-Invariant Graph Convolutional Network—0
Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph ProximityCode0
Understanding Neural Architecture Search Techniques—0
Detecting drug-drug interactions using artificial neural networks and classic graph similarity measuresCode0
Label Efficient Semi-Supervised Learning via Graph FilteringCode0
Inferring Networks From Random Walk-Based Node SimilaritiesCode0
Similarity Learning with Higher-Order Graph Convolutions for Brain Network Analysis—0
Learning-based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set MatchingCode0
SimGNN: A Neural Network Approach to Fast Graph Similarity ComputationCode0
Message Passing Graph KernelsCode0
Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and ApplicationsCode0
Scalable Spectral Clustering Using Random Binning FeaturesCode0
On the Limitations of Unsupervised Bilingual Dictionary Induction—0
Graph Based Semi-Supervised Learning Approach for Tamil POS tagging—0
Learning Networks from Random Walk-Based Node SimilaritiesCode0
DGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model—0
SimiNet: a Novel Method for Quantifying Brain Network Similarity—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SimGNNmse (10^-3)1.26—Unverified