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Search results for deep learning graph classification
deep-learning
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graph-classification
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15 search results found
Awesome Fraud Detection Papers
⭐
1,364
A curated list of data mining papers about fraud detection.
Capsgnn
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1,180
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
Simgnn
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540
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Appnp
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322
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
Ppnp
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315
PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
Seal Ci
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201
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
Pdn
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51
The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
Feather
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39
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
Ggnn.tensorflow
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33
Tensorflow implementation of Gated Graph Neural Network for Source Code Classification
Malnet Graph
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27
A large-scale database for graph representation learning
Graph Pooling Papers
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24
Papers on Graph Pooling (GNN-Pooling)
Phc Gnn
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19
Implementation of the Paper: "Parameterized Hypercomplex Graph Neural Networks for Graph Classification" by Tuan Le, Marco Bertolini, Frank Noé and Djork-Arné Clevert
Resolutions 2019
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16
A list of data mining and machine learning papers that I implemented in 2019.
Dgcnn
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13
Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).
Cpa
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7
Source code for our paper "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)
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