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TopoModelX latest documentation

  • API Reference
  • Contributing
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  • ICML 2023 Topological Deep Learning Challenge
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  • API Reference
  • Contributing
  • Tutorials
  • ICML 2023 Topological Deep Learning Challenge
  • GitHub

Section Navigation

Packages & Modules

  • Base
    • Aggregation
    • Conv
    • Message Passing
  • Neural Networks
    • Cell
      • Can_Layer
      • CAN
      • CCXN_Layer
      • CCXN
      • Cwn_Layer
      • CWN
    • Hypergraph
      • AllSet_Layer
      • AllSet_Transformer_Layer
      • AllSet_Transformer
      • AllSet
      • DHGCN_Layer
      • DHGCN
      • HMPNN_Layer
      • HMPNN
      • HNHN_Layer_Bis
      • HNHN_Layer
      • HNHN
      • Hypergat_Layer
      • Hypergat
      • Hypersage_Layer
      • Hypersage
      • Unigcn_Layer
      • Unigcn
      • Unigcnii_Layer
      • Unigcnii
      • UniGINLayer
      • UniGIN
      • UniSAGELayer
      • UniSAGE
    • Simplicial
      • Dist2CycleLayer
      • Dist2Cycle
      • HSNLayer
      • HSN
      • SANConv
      • SAN
      • SCACMPSLayer
      • SCACMPS
      • SCCNLayer
      • SCCN
      • SCCNNLayer
      • SCCNN
      • SCConvLayer
      • SCConv
      • SCN2Layer
      • SCN2
      • SCNNLayer
      • SCNN
      • SCoNeLayer
      • SCoNe
  • Utils
  • API Reference
  • Base

Base#

The Base class is composed of primarily three classes:

  1. Aggregation This defines the message passing layer

  2. Conv Builds the message passing neighborhood structure

  3. Message Passing Class for message passing structure

  • Aggregation
    • Aggregation
      • Aggregation.forward()
      • Aggregation.update()
  • Conv
    • Conv
      • Conv.forward()
      • Conv.update()
  • Message Passing
    • MessagePassing
      • MessagePassing.aggregate()
      • MessagePassing.attention()
      • MessagePassing.forward()
      • MessagePassing.message()
      • MessagePassing.reset_parameters()

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