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Hypergraph Convolution on Nodes-Hyperedges Network for Semi-Supervised Node Classification
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Distilling Knowledge From Graph Convolutional Networks
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Hypergraph-Structured Autoencoder for Unsupervised and Semisupervised Classification of Hyperspectral Image
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Inductive Multi-Hypergraph Learning and Its Application on View-Based 3D Object Classification
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Motif and Hypergraph Correlation Clustering
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A Survey on Knowledge Graph-Based Recommender Systems
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Hypergraph-Induced Convolutional Networks for Visual Classification
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A Comprehensive Survey on Graph Neural Networks
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Hypergraph Learning: Methods and Practices
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Graph Neural Networks with Convolutional ARMA Filters
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Heterogeneous Hypergraph Variational Autoencoder for Link Prediction
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Topology-Aware Graph Pooling Networks
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CayleyNets: Graph Convolutional Neural Networks With Complex Rational Spectral Filters
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Higher order learning with graphs
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Collective entity resolution in relational data
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Structural Deep Network Embedding
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Representation Learning for Classification in Heterogeneous Graphs with Application to Social Networks
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Graph Classification using Structural Attention
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Semi-Supervised Graph Classification: A Hierarchical Graph Perspective
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Neural Graph Collaborative Filtering
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Graph Convolutional Networks with Motif-based Attention
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HPRA: Hyperedge Prediction using Resource Allocation
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Adaptive Graph Encoder for Attributed Graph Embedding
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HGAT: Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification
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Hypergraph Neural Networks
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Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks
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Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View
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Collective Classification in Network Data
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UMAP: Uniform Manifold Approximation and Projection
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Convolutional networks for images, speech, and time series
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Collaborative contrastive learning for hypergraph node classification
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