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Dual Feature Interaction-Based Graph Convolutional Network

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Deep & Cross Network for Ad Click Predictions
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Dual Graph Convolutional Networks for Graph-Based Semi-Supervised Classification
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xDeepFM
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Heterogeneous Graph Neural Network
inferredcites →https://doi.org/10.1145/3340531.3412077openalex-snapshot
Deep Interaction Machine
inferredcites →https://doi.org/10.1145/3357384.3357880openalex-snapshot
Graph Convolutional Networks with Motif-based Attention
inferredcites →https://doi.org/10.1145/3394486.3403088openalex-snapshot
Policy-GNN: Aggregation Optimization for Graph Neural Networks
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AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
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BiANE
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Node Similarity Preserving Graph Convolutional Networks
inferredcites →https://doi.org/10.1145/3442381.3449821openalex-snapshot
Motif-Preserving Dynamic Attributed Network Embedding
inferredcites →https://doi.org/10.1162/neco.1989.1.4.541openalex-snapshot
Backpropagation Applied to Handwritten Zip Code Recognition
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Heterogeneous Attributed Network Embedding with Graph Convolutional Networks
inferredcites →https://doi.org/10.1609/aaai.v34i04.5768openalex-snapshot
Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions
inferredcites →https://doi.org/10.1609/aaai.v35i5.16600openalex-snapshot
Heterogeneous Graph Structure Learning for Graph Neural Networks
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Collective Classification in Network Data
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DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
inferredcites →https://doi.org/10.24963/ijcai.2019/565openalex-snapshot
Masked Graph Convolutional Network
inferredcites →https://doi.org/10.24963/ijcai.2020/202openalex-snapshot
Bilinear Graph Neural Network with Neighbor Interactions

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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