PyGCL
stable

Contents

  • Installation
    • Prerequisites
    • Manual Installation

Package Reference

  • GCL.augmentors
    • Available Augmentors
    • Structure Augmentors
    • Attribute Augmentors
    • Functional Interface
PyGCL
  • »
  • Index
  • Edit on GitHub

Index

A | C | D | G | M | P | R | S

A

  • AdaptivelyAugmentTopologyAttributes (class in GCL.augmentors.functional)
  • add_edge() (in module GCL.augmentors.functional)
  • AugmentTopologyAttributes (class in GCL.augmentors.functional)

C

  • coalesce_edge_index() (in module GCL.augmentors.functional)
  • compute_markov_diffusion() (in module GCL.augmentors.functional)
  • compute_ppr() (in module GCL.augmentors.functional)

D

  • drop_edge_by_weight() (in module GCL.augmentors.functional)
  • drop_feature() (in module GCL.augmentors.functional)
  • drop_feature_by_weight() (in module GCL.augmentors.functional)
  • drop_node() (in module GCL.augmentors.functional)
  • dropout_feature() (in module GCL.augmentors.functional)

G

  • GCL.augmentors.functional
    • module
  • get_degree_weights() (in module GCL.augmentors.functional)
  • get_eigenvector_weights() (in module GCL.augmentors.functional)
  • get_feature_weights() (in module GCL.augmentors.functional)
  • get_mixup_idx() (in module GCL.augmentors.functional)
  • get_pagerank_weights() (in module GCL.augmentors.functional)
  • get_sparse_adj() (in module GCL.augmentors.functional)
  • get_subgraph() (in module GCL.augmentors.functional)

M

  • mixup() (in module GCL.augmentors.functional)
  • module
    • GCL.augmentors.functional
  • multiinstance_mixup() (in module GCL.augmentors.functional)

P

  • permute() (in module GCL.augmentors.functional)

R

  • random_walk_subgraph() (in module GCL.augmentors.functional)

S

  • sample_nodes() (in module GCL.augmentors.functional)

© Copyright 2022, Yanqiao Zhu. Revision c5636d87.

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