Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks | Paper Citation Record

Observation 1bb5b748-2cfe-4d66-b261-fb162ad23222 · outbound

This paper cites Some basic definitions in graph theory,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Some basic definitions in graph theory,

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This paper cites an unresolved cited work.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Unresolved cited work

Reference 2

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This paper cites Network representation learning: A survey,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Network representation learning: A survey,

Reference 3

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This paper cites Deepwalk: Online learning of social representations,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Deepwalk: Online learning of social representations,

Reference 4

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This paper cites Line: Large-scale information network embedding,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Line: Large-scale information network embedding,

Reference 5

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This paper cites node2vec: Scalable feature learning for networks,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks node2vec: Scalable feature learning for networks,

Reference 6

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This paper cites Neural message passing for quantum chemistry,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Neural message passing for quantum chemistry,

Reference 7

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This paper cites Fraud detec- tion: A systematic literature review of graph-based anomaly detection approaches,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Fraud detec- tion: A systematic literature review of graph-based anomaly detection approaches,

Reference 8

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This paper cites Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders

Reference 9

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This paper cites Spatial-temporal fusion graph neural networks for traffic flow forecasting,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Spatial-temporal fusion graph neural networks for traffic flow forecasting,

Reference 10

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This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Semi-Supervised Classification with Graph Convolutional Networks

Reference 11

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This paper cites Graph Attention Networks.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Graph Attention Networks

Reference 12

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This paper cites Inductive representation learning on large graphs,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Inductive representation learning on large graphs,

Reference 13

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This paper cites Node, motif and subgraph: Leveraging network functional blocks through structural convolution,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Node, motif and subgraph: Leveraging network functional blocks through structural convolution,

Reference 14

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This paper cites Representation learning: A review and new perspectives,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Representation learning: A review and new perspectives,

Reference 15

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This paper cites Disentangled graph convolutional networks,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Disentangled graph convolutional networks,

Reference 16

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This paper cites Independence promoted graph disentangled networks,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Independence promoted graph disentangled networks,

Reference 17

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This paper cites LGD-GCN: Local and Global Disentangled Graph Convolutional Networks.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks LGD-GCN: Local and Global Disentangled Graph Convolutional Networks

Reference 18

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This paper cites Factorizable graph convolu- tional networks,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Factorizable graph convolu- tional networks,

Reference 19

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This paper cites Debiasing graph neural networks via learning disentangled causal substructure,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Debiasing graph neural networks via learning disentangled causal substructure,

Reference 20

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This paper cites Kergnns: Interpretable graph neural networks with graph kernels,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Kergnns: Interpretable graph neural networks with graph kernels,

Reference 21

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This paper cites Descriptive kernel convolution network with improved random walk kernel,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Descriptive kernel convolution network with improved random walk kernel,

Reference 22

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This paper cites Network motifs: simple building blocks of complex networks,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Network motifs: simple building blocks of complex networks,

Reference 23

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This paper cites An algorithm for subgraph isomorphism,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks An algorithm for subgraph isomorphism,

Reference 24

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This paper cites Improving graph neural network expressivity via subgraph isomorphism count- ing,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Improving graph neural network expressivity via subgraph isomorphism count- ing,

Reference 25

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This paper cites Motif graph neural network,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Motif graph neural network,

Reference 26

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This paper cites Convolution kernels on discrete structures,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Convolution kernels on discrete structures,

Reference 27

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This paper cites Fast subtree kernels on graphs,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Fast subtree kernels on graphs,

Reference 28

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This paper cites A linear-time graph kernel,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks A linear-time graph kernel,

Reference 29

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This paper cites Subgraph Matching Kernels for Attributed Graphs.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Subgraph Matching Kernels for Attributed Graphs

Reference 30

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This paper cites Marginalized kernels between labeled graphs,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Marginalized kernels between labeled graphs,

Reference 31

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This paper cites Weisfeiler-lehman graph kernels.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Weisfeiler-lehman graph kernels

Reference 32

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This paper cites On valid optimal as- signment kernels and applications to graph classification,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks On valid optimal as- signment kernels and applications to graph classification,

Reference 33

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Observation 18e876e0-585a-4fd5-b3b7-bf66283ae3d4 · outbound

This paper cites How Powerful are Graph Neural Networks?.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks How Powerful are Graph Neural Networks?

Reference 34

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This paper cites Disentangled graph contrastive learning with independence promotion,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Disentangled graph contrastive learning with independence promotion,

Reference 35

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This paper cites Interpretable deep graph generation with node-edge co-disentanglement,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Interpretable deep graph generation with node-edge co-disentanglement,

Reference 36

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Observation f49a02b3-6941-4256-b5c5-0f7ec1c4040d · outbound

This paper cites Graph kernels based on tree patterns for molecules,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Graph kernels based on tree patterns for molecules,

Reference 37

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This paper cites Retgk: Graph kernels based on return probabilities of random walks,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Retgk: Graph kernels based on return probabilities of random walks,

Reference 38

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This paper cites Shortest-path kernels on graphs,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Shortest-path kernels on graphs,

Reference 39

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This paper cites On graph kernels: Hardness results and efficient alternatives,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks On graph kernels: Hardness results and efficient alternatives,

Reference 40

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Observation c33d0fec-53c3-4d54-b95b-1b35fc505ad1 · outbound

This paper cites Extensions of marginalized graph kernels,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Extensions of marginalized graph kernels,

Reference 41

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Observation ffc5f216-18af-4925-9d5d-ac1eb324a0e9 · outbound

This paper cites The expressive power of graph neural networks: A survey,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks The expressive power of graph neural networks: A survey,

Reference 42

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Observation d0dc1854-bc31-431f-8e6a-ed0738f71d4f · outbound

This paper cites The hungarian method for the assignment problem,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks The hungarian method for the assignment problem,

Reference 43

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This paper cites Algorithms for the assignment and transportation prob- lems,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Algorithms for the assignment and transportation prob- lems,

Reference 44

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This paper cites Theory of reproducing kernels,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Theory of reproducing kernels,

Reference 45

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This paper cites Generalized histogram intersection kernel for image recognition,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Generalized histogram intersection kernel for image recognition,

Reference 46

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Observation 62bbc4e5-7d50-487f-a768-7e8b9ed90d59 · outbound

This paper cites Revisiting semi-supervised learning with graph embeddings,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Revisiting semi-supervised learning with graph embeddings,

Reference 47

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This paper cites Multi-scale attributed node embedding,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Multi-scale attributed node embedding,

Reference 48

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Observation eee670c6-cfd9-4ba3-89a8-ee74326bfdc1 · outbound

This paper cites Geom-GCN: Geometric Graph Convolutional Networks.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Geom-GCN: Geometric Graph Convolutional Networks

Reference 49

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Observation b10bfd5d-2668-4848-868c-b2251cca68c2 · outbound

This paper cites Distinguishing enzyme structures from non-enzymes without alignments,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Distinguishing enzyme structures from non-enzymes without alignments,

Reference 50

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Observation 9bfb7c59-dfe0-409e-a6dc-acc3ce04d542 · outbound

This paper cites Brenda, the enzyme database: updates and major new developments,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Brenda, the enzyme database: updates and major new developments,

Reference 51

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This paper cites Protein function prediction via graph ker- nels,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Protein function prediction via graph ker- nels,

Reference 52

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Observation 6c67523d-8b8a-4d72-acac-48ec5dbedb32 · outbound

This paper cites Deep graph kernels,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Deep graph kernels,

Reference 53

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This paper cites Graph u-nets,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Graph u-nets,

Reference 54

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This paper cites Self-attention graph pooling,.

Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Self-attention graph pooling,

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