DGL
latest
Installation
Install DGL
Working with different backends
Get Started
DGL at a Glance
DGLGraph and Node/edge Features
Message Passing Tutorial
Graph Classification Tutorial
Working with Heterogeneous Graphs
Tutorials
Graph neural networks and its variants
Batching many small graphs
Generative models
Revisit classic models from a graph perspective
Training on giant graphs
API Reference
dgl.DGLGraph
dgl.DGLHeteroGraph
dgl.batched_graph
dgl.batched_heterograph
dgl.nn
dgl.function
dgl.udf
dgl.subgraph
dgl.traversal
dgl.propagate
dgl.transform
dgl.contrib.sampling
dgl.data
dgl.nodeflow
dgl.random
dgl.model_zoo
Developer Notes
Contribute to DGL
DGL Foreign Function Interface (FFI)
Misc
FAQ
Environment Variables
Resources
DGL
Docs
»
Index
Edit on GitHub
Index
_
|
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
K
|
L
|
M
|
N
|
O
|
P
|
Q
|
R
|
S
|
T
|
U
|
V
|
W
|
Z
_
__call__() (dgl.data.chem.BaseAtomFeaturizer method)
(dgl.data.chem.BaseBondFeaturizer method)
(dgl.data.chem.ConcatFeaturizer method)
__contains__() (dgl.DGLGraph method)
__getitem__() (dgl.data.chem.PDBBind method)
(dgl.data.GINDataset method)
(dgl.data.MiniGCDataset method)
(dgl.data.PPIDataset method)
(dgl.data.SST method)
(dgl.data.TUDataset method)
(dgl.data.chem.PubChemBioAssayAromaticity method)
(dgl.data.chem.TencentAlchemyDataset method)
(dgl.data.chem.Tox21 method)
(dgl.data.utils.Subset method)
__init__() (dgl.data.chem.BaseAtomFeaturizer method)
(dgl.data.chem.BaseBondFeaturizer method)
(dgl.data.chem.CanonicalAtomFeaturizer method)
(dgl.data.chem.CanonicalBondFeaturizer method)
(dgl.data.chem.ConcatFeaturizer method)
__iter__() (dgl.contrib.sampling.dis_sampler.SamplerReceiver method)
__len__() (dgl.data.chem.PDBBind method)
(dgl.DGLGraph method)
(dgl.data.GINDataset method)
(dgl.data.MiniGCDataset method)
(dgl.data.PPIDataset method)
(dgl.data.SST method)
(dgl.data.chem.PubChemBioAssayAromaticity method)
(dgl.data.chem.TencentAlchemyDataset method)
(dgl.data.chem.Tox21 method)
(dgl.data.utils.Subset method)
(dgl.udf.EdgeBatch method)
(dgl.udf.NodeBatch method)
__next__() (dgl.contrib.sampling.dis_sampler.SamplerReceiver method)
A
ACNN (class in dgl.model_zoo.chem)
ACNN_graph_construction_and_featurization() (in module dgl.data.chem)
add_edge() (dgl.DGLGraph method)
add_edges() (dgl.DGLGraph method)
add_hydrogens_to_mol() (in module dgl.data.chem)
add_nodes() (dgl.DGLGraph method)
add_self_loop() (in module dgl.transform)
adjacency_matrix() (dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
adjacency_matrix_scipy() (dgl.DGLGraph method)
AGNNConv (class in dgl.nn.mxnet.conv)
(class in dgl.nn.pytorch.conv)
all_edges() (dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
AmazonCoBuy (class in dgl.data)
apply_block() (dgl.NodeFlow method)
apply_edges() (dgl.contrib.graph_store.SharedMemoryDGLGraph method)
(dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
apply_layer() (dgl.NodeFlow method)
apply_nodes() (dgl.contrib.graph_store.SharedMemoryDGLGraph method)
(dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
APPNPConv (class in dgl.nn.mxnet.conv)
(class in dgl.nn.pytorch.conv)
atom_chiral_tag_one_hot() (in module dgl.data.chem)
atom_degree() (in module dgl.data.chem)
atom_degree_one_hot() (in module dgl.data.chem)
atom_formal_charge() (in module dgl.data.chem)
atom_formal_charge_one_hot() (in module dgl.data.chem)
atom_hybridization_one_hot() (in module dgl.data.chem)
atom_implicit_valence() (in module dgl.data.chem)
atom_implicit_valence_one_hot() (in module dgl.data.chem)
atom_is_aromatic() (in module dgl.data.chem)
atom_is_aromatic_one_hot() (in module dgl.data.chem)
atom_mass() (in module dgl.data.chem)
atom_num_radical_electrons() (in module dgl.data.chem)
atom_num_radical_electrons_one_hot() (in module dgl.data.chem)
atom_total_degree() (in module dgl.data.chem)
atom_total_degree_one_hot() (in module dgl.data.chem)
atom_total_num_H() (in module dgl.data.chem)
atom_total_num_H_one_hot() (in module dgl.data.chem)
atom_type_one_hot() (in module dgl.data.chem)
atomic_number() (in module dgl.data.chem)
atomic_number_one_hot() (in module dgl.data.chem)
AtomicConv (class in dgl.nn.pytorch.conv)
AttentiveFP (class in dgl.model_zoo.chem)
AvgPooling (class in dgl.nn.mxnet.glob)
(class in dgl.nn.pytorch.glob)
B
base_initializer() (in module dgl.init)
BaseAtomFeaturizer (class in dgl.data.chem)
BaseBondFeaturizer (class in dgl.data.chem)
batch() (in module dgl)
batch_hetero() (in module dgl)
batch_num_edges (dgl.BatchedDGLGraph attribute)
batch_num_edges() (dgl.BatchedDGLHeteroGraph method)
batch_num_nodes (dgl.BatchedDGLGraph attribute)
batch_num_nodes() (dgl.BatchedDGLHeteroGraph method)
batch_size (dgl.BatchedDGLGraph attribute)
(dgl.BatchedDGLHeteroGraph attribute)
batch_size() (dgl.udf.EdgeBatch method)
(dgl.udf.NodeBatch method)
BatchedDGLGraph (class in dgl)
BatchedDGLHeteroGraph (class in dgl)
bfs_edges_generator() (in module dgl.traversal)
bfs_nodes_generator() (in module dgl.traversal)
bias (dgl.nn.mxnet.conv.GraphConv attribute)
(dgl.nn.mxnet.conv.TAGConv attribute)
(dgl.nn.pytorch.conv.GraphConv attribute)
bipartite() (in module dgl)
BitcoinOTC (class in dgl.data)
block_adjacency_matrix() (dgl.NodeFlow method)
block_compute() (dgl.NodeFlow method)
block_edges() (dgl.NodeFlow method)
block_eid() (dgl.NodeFlow method)
block_incidence_matrix() (dgl.NodeFlow method)
block_parent_eid() (dgl.NodeFlow method)
block_size() (dgl.NodeFlow method)
blocks (dgl.NodeFlow attribute)
bond_is_conjugated() (in module dgl.data.chem)
bond_is_conjugated_one_hot() (in module dgl.data.chem)
bond_is_in_ring() (in module dgl.data.chem)
bond_is_in_ring_one_hot() (in module dgl.data.chem)
bond_stereo_one_hot() (in module dgl.data.chem)
bond_type_one_hot() (in module dgl.data.chem)
broadcast_edges() (in module dgl)
broadcast_nodes() (in module dgl)
C
canonical_etypes (dgl.DGLHeteroGraph attribute)
CanonicalAtomFeaturizer (class in dgl.data.chem)
CanonicalBondFeaturizer (class in dgl.data.chem)
ChebConv (class in dgl.nn.mxnet.conv)
(class in dgl.nn.pytorch.conv)
check_sha1() (in module dgl.data.utils)
CitationGraphDataset (class in dgl.data)
clear() (dgl.DGLGraph method)
Coauthor (class in dgl.data)
ConcatFeaturizer (class in dgl.data.chem)
ConsecutiveSplitter (class in dgl.data.chem)
copy_e() (in module dgl.function)
copy_edge() (in module dgl.function)
copy_from_parent() (dgl.NodeFlow method)
(dgl.subgraph.DGLSubGraph method)
copy_src() (in module dgl.function)
copy_to_parent() (dgl.NodeFlow method)
(dgl.subgraph.DGLSubGraph method)
copy_u() (in module dgl.function)
CoraDataset (class in dgl.data)
CoraFull (class in dgl.data)
create_graph_from_store() (in module dgl.contrib.graph_store)
create_graph_store_server() (in module dgl.contrib.graph_store)
D
data (dgl.udf.EdgeBatch attribute)
(dgl.udf.NodeBatch attribute)
DenseChebConv (class in dgl.nn.pytorch.conv)
,
[1]
DenseGraphConv (class in dgl.nn.mxnet.conv)
(class in dgl.nn.pytorch.conv)
DenseSAGEConv (class in dgl.nn.pytorch.conv)
destroy() (dgl.contrib.graph_store.SharedMemoryDGLGraph method)
dfs_edges_generator() (in module dgl.traversal)
dfs_labeled_edges_generator() (in module dgl.traversal)
dgl.convert (module)
dgl.init (module)
dgl.nn (module)
dgl.nn.mxnet.conv (module)
dgl.nn.mxnet.glob (module)
dgl.nn.mxnet.softmax (module)
dgl.nn.pytorch.conv (module)
dgl.nn.pytorch.glob (module)
dgl.nn.pytorch.softmax (module)
dgl.propagate (module)
dgl.random (module)
dgl.transform (module)
dgl.traversal (module)
DGLGraph (class in dgl)
DGLHeteroGraph (class in dgl)
DGLJTNNVAE (class in dgl.model_zoo.chem)
DGLSubGraph (class in dgl.subgraph)
DGMG (class in dgl.model_zoo.chem)
download() (in module dgl.data.utils)
dst (dgl.udf.EdgeBatch attribute)
E
e_add_u() (in module dgl.function)
e_add_v() (in module dgl.function)
e_div_u() (in module dgl.function)
e_div_v() (in module dgl.function)
e_dot_u() (in module dgl.function)
e_dot_v() (in module dgl.function)
e_mul_u() (in module dgl.function)
e_mul_v() (in module dgl.function)
e_sub_u() (in module dgl.function)
e_sub_v() (in module dgl.function)
edata (dgl.DGLGraph attribute)
(dgl.DGLHeteroGraph attribute)
edge_attr_schemes() (dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
(dgl.NodeFlow method)
edge_id() (dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
edge_ids() (dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
edge_softmax() (in module dgl.nn.mxnet.softmax)
(in module dgl.nn.pytorch.softmax)
edge_subgraph() (dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
edge_type_subgraph() (dgl.DGLHeteroGraph method)
EdgeConv (class in dgl.nn.mxnet.conv)
(class in dgl.nn.pytorch.conv)
edges (dgl.DGLGraph attribute)
(dgl.DGLHeteroGraph attribute)
edges() (dgl.udf.EdgeBatch method)
EdgeSampler() (in module dgl.contrib.sampling.sampler)
etypes (dgl.DGLHeteroGraph attribute)
extract_archive() (in module dgl.data.utils)
F
feat_size() (dgl.data.chem.BaseAtomFeaturizer method)
(dgl.data.chem.BaseBondFeaturizer method)
filter_edges() (dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
filter_nodes() (dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
find_edges() (dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
forward() (dgl.model_zoo.chem.ACNN method)
(dgl.model_zoo.chem.AttentiveFP method)
(dgl.model_zoo.chem.DGLJTNNVAE method)
(dgl.model_zoo.chem.DGMG method)
(dgl.model_zoo.chem.GATClassifier method)
(dgl.model_zoo.chem.GCNClassifier method)
(dgl.model_zoo.chem.MGCNModel method)
(dgl.model_zoo.chem.MPNNModel method)
(dgl.model_zoo.chem.SchNet method)
(dgl.nn.mxnet.conv.AGNNConv method)
(dgl.nn.mxnet.conv.APPNPConv method)
(dgl.nn.mxnet.conv.ChebConv method)
(dgl.nn.mxnet.conv.DenseGraphConv method)
(dgl.nn.mxnet.conv.EdgeConv method)
(dgl.nn.mxnet.conv.GATConv method)
(dgl.nn.mxnet.conv.GINConv method)
(dgl.nn.mxnet.conv.GMMConv method)
(dgl.nn.mxnet.conv.GatedGraphConv method)
(dgl.nn.mxnet.conv.GraphConv method)
(dgl.nn.mxnet.conv.RelGraphConv method)
(dgl.nn.mxnet.conv.SAGEConv method)
(dgl.nn.mxnet.conv.SGConv method)
(dgl.nn.mxnet.conv.TAGConv method)
(dgl.nn.mxnet.glob.AvgPooling method)
(dgl.nn.mxnet.glob.GlobalAttentionPooling method)
(dgl.nn.mxnet.glob.MaxPooling method)
(dgl.nn.mxnet.glob.Set2Set method)
(dgl.nn.mxnet.glob.SortPooling method)
(dgl.nn.mxnet.glob.SumPooling method)
(dgl.nn.mxnet.utils.Sequential method)
(dgl.nn.pytorch.conv.AGNNConv method)
(dgl.nn.pytorch.conv.APPNPConv method)
(dgl.nn.pytorch.conv.AtomicConv method)
(dgl.nn.pytorch.conv.ChebConv method)
(dgl.nn.pytorch.conv.DenseChebConv method)
,
[1]
(dgl.nn.pytorch.conv.DenseGraphConv method)
(dgl.nn.pytorch.conv.DenseSAGEConv method)
(dgl.nn.pytorch.conv.EdgeConv method)
(dgl.nn.pytorch.conv.GATConv method)
(dgl.nn.pytorch.conv.GINConv method)
(dgl.nn.pytorch.conv.GMMConv method)
(dgl.nn.pytorch.conv.GatedGraphConv method)
(dgl.nn.pytorch.conv.GraphConv method)
(dgl.nn.pytorch.conv.NNConv method)
(dgl.nn.pytorch.conv.RelGraphConv method)
(dgl.nn.pytorch.conv.SAGEConv method)
(dgl.nn.pytorch.conv.SGConv method)
(dgl.nn.pytorch.conv.TAGConv method)
(dgl.nn.pytorch.factory.KNNGraph method)
(dgl.nn.pytorch.factory.SegmentedKNNGraph method)
(dgl.nn.pytorch.glob.AvgPooling method)
(dgl.nn.pytorch.glob.GlobalAttentionPooling method)
(dgl.nn.pytorch.glob.MaxPooling method)
(dgl.nn.pytorch.glob.Set2Set method)
(dgl.nn.pytorch.glob.SetTransformerDecoder method)
(dgl.nn.pytorch.glob.SetTransformerEncoder method)
(dgl.nn.pytorch.glob.SortPooling method)
(dgl.nn.pytorch.glob.SumPooling method)
(dgl.nn.pytorch.utils.Sequential method)
from_networkx() (dgl.DGLGraph method)
from_scipy_sparse_matrix() (dgl.DGLGraph method)
G
GATClassifier (class in dgl.model_zoo.chem)
GATConv (class in dgl.nn.mxnet.conv)
(class in dgl.nn.pytorch.conv)
GatedGraphConv (class in dgl.nn.mxnet.conv)
(class in dgl.nn.pytorch.conv)
GCNClassifier (class in dgl.model_zoo.chem)
GDELT (class in dgl.data)
get_download_dir() (in module dgl.data.utils)
get_etype_id() (dgl.DGLHeteroGraph method)
get_mol_3D_coordinates() (in module dgl.data.chem)
get_ntype_id() (dgl.DGLHeteroGraph method)
GINConv (class in dgl.nn.mxnet.conv)
(class in dgl.nn.pytorch.conv)
GINDataset (class in dgl.data)
GlobalAttentionPooling (class in dgl.nn.mxnet.glob)
(class in dgl.nn.pytorch.glob)
GMMConv (class in dgl.nn.mxnet.conv)
(class in dgl.nn.pytorch.conv)
graph() (in module dgl)
GraphConv (class in dgl.nn.mxnet.conv)
(class in dgl.nn.pytorch.conv)
group_apply_edges() (dgl.contrib.graph_store.SharedMemoryDGLGraph method)
(dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
H
has_edge_between() (dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
has_edges_between() (dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
has_node() (dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
has_nodes() (dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
hetero_from_relations() (in module dgl)
heterograph() (in module dgl)
I
ICEWS18 (class in dgl.data)
in_degree() (dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
in_degrees() (dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
in_edges() (dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
incidence_matrix() (dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
init_edata() (dgl.contrib.graph_store.SharedMemoryDGLGraph method)
init_ndata() (dgl.contrib.graph_store.SharedMemoryDGLGraph method)
is_multigraph (dgl.DGLGraph attribute)
(dgl.DGLHeteroGraph attribute)
is_readonly (dgl.DGLHeteroGraph attribute)
K
k_nearest_neighbors() (in module dgl.data.chem)
KarateClub (class in dgl.data)
khop_adj() (in module dgl.transform)
khop_graph() (in module dgl.transform)
knn_graph() (in module dgl.transform)
KNNGraph (class in dgl.nn.pytorch.factory)
L
laplacian_lambda_max() (in module dgl.transform)
layer_in_degree() (dgl.NodeFlow method)
layer_nid() (dgl.NodeFlow method)
layer_out_degree() (dgl.NodeFlow method)
layer_parent_nid() (dgl.NodeFlow method)
layer_size() (dgl.NodeFlow method)
layers (dgl.NodeFlow attribute)
LayerSampler() (in module dgl.contrib.sampling.sampler)
lin (dgl.nn.mxnet.conv.TAGConv attribute)
(dgl.nn.pytorch.conv.TAGConv attribute)
line_graph() (dgl.DGLGraph method)
(in module dgl.transform)
load_graphs() (in module dgl.data.utils)
load_labels() (in module dgl.data.utils)
load_molecule() (in module dgl.data.chem)
load_pretrained() (in module dgl.model_zoo.chem)
local_scope() (dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
local_var() (dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
M
mailbox (dgl.udf.NodeBatch attribute)
map_from_parent_nid() (dgl.NodeFlow method)
map_to_parent_eid() (dgl.NodeFlow method)
map_to_parent_nid() (dgl.NodeFlow method)
map_to_subgraph_nid() (dgl.subgraph.DGLSubGraph method)
max() (in module dgl.function)
max_edges() (in module dgl)
max_nodes() (in module dgl)
MaxPooling (class in dgl.nn.mxnet.glob)
(class in dgl.nn.pytorch.glob)
mean() (in module dgl.function)
mean_edges() (in module dgl)
mean_nodes() (in module dgl)
metagraph (dgl.DGLHeteroGraph attribute)
metapath_reachable_graph() (in module dgl.transform)
MGCNModel (class in dgl.model_zoo.chem)
min() (in module dgl.function)
MiniGCDataset (class in dgl.data)
mol_to_bigraph() (in module dgl.data.chem)
mol_to_complete_graph() (in module dgl.data.chem)
mol_to_graph() (in module dgl.data.chem)
MolecularWeightSplitter (class in dgl.data.chem)
MPNNModel (class in dgl.model_zoo.chem)
multi_pull() (dgl.DGLHeteroGraph method)
multi_recv() (dgl.DGLHeteroGraph method)
multi_send_and_recv() (dgl.DGLHeteroGraph method)
multi_update_all() (dgl.DGLHeteroGraph method)
multiprocess_load_molecules() (in module dgl.data.chem)
N
ndata (dgl.DGLGraph attribute)
(dgl.DGLHeteroGraph attribute)
NeighborSampler() (in module dgl.contrib.sampling.sampler)
NNConv (class in dgl.nn.pytorch.conv)
node_attr_schemes() (dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
(dgl.NodeFlow method)
node_type_subgraph() (dgl.DGLHeteroGraph method)
NodeFlow (class in dgl)
nodes (dgl.DGLGraph attribute)
(dgl.DGLHeteroGraph attribute)
nodes() (dgl.udf.NodeBatch method)
ntypes (dgl.DGLHeteroGraph attribute)
num_blocks (dgl.NodeFlow attribute)
num_classes (dgl.data.MiniGCDataset attribute)
num_layers (dgl.NodeFlow attribute)
num_workers (dgl.contrib.graph_store.SharedMemoryDGLGraph attribute)
number_of_edges() (dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
number_of_nodes() (dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
O
one_hot_encoding() (in module dgl.data.chem)
out_degree() (dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
out_degrees() (dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
out_edges() (dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
P
parent_eid (dgl.subgraph.DGLSubGraph attribute)
parent_nid (dgl.subgraph.DGLSubGraph attribute)
PDBBind (class in dgl.data.chem)
PPIDataset (class in dgl.data)
predecessors() (dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
prod() (in module dgl.function)
prop_edges() (dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
(in module dgl.propagate)
prop_edges_dfs() (in module dgl.propagate)
prop_flow() (dgl.NodeFlow method)
prop_nodes() (dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
(in module dgl.propagate)
prop_nodes_bfs() (in module dgl.propagate)
prop_nodes_topo() (in module dgl.propagate)
PubChemBioAssayAromaticity (class in dgl.data.chem)
pull() (dgl.contrib.graph_store.SharedMemoryDGLGraph method)
(dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
push() (dgl.contrib.graph_store.SharedMemoryDGLGraph method)
(dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
Q
QM7b (class in dgl.data)
R
RandomSplitter (class in dgl.data.chem)
readonly() (dgl.DGLGraph method)
recv() (dgl.contrib.graph_store.SharedMemoryDGLGraph method)
(dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
register_apply_edge_func() (dgl.DGLGraph method)
(dgl.NodeFlow method)
register_apply_node_func() (dgl.DGLGraph method)
(dgl.NodeFlow method)
register_message_func() (dgl.DGLGraph method)
(dgl.NodeFlow method)
register_reduce_func() (dgl.DGLGraph method)
(dgl.NodeFlow method)
RelGraphConv (class in dgl.nn.mxnet.conv)
(class in dgl.nn.pytorch.conv)
remove_edges() (dgl.DGLGraph method)
remove_nodes() (dgl.DGLGraph method)
remove_self_loop() (in module dgl.transform)
reset_parameters() (dgl.nn.pytorch.conv.GraphConv method)
reverse() (dgl.DGLGraph method)
(in module dgl.transform)
S
SAGEConv (class in dgl.nn.mxnet.conv)
(class in dgl.nn.pytorch.conv)
SamplerPool (class in dgl.contrib.sampling.dis_sampler)
SamplerReceiver (class in dgl.contrib.sampling.dis_sampler)
SamplerSender (class in dgl.contrib.sampling.dis_sampler)
save_graphs() (in module dgl.data.utils)
ScaffoldSplitter (class in dgl.data.chem)
SchNet (class in dgl.model_zoo.chem)
seed() (in module dgl.random)
segmented_knn_graph() (in module dgl.transform)
SegmentedKNNGraph (class in dgl.nn.pytorch.factory)
send() (dgl.contrib.sampling.dis_sampler.SamplerSender method)
(dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
send_and_recv() (dgl.contrib.graph_store.SharedMemoryDGLGraph method)
(dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
Sequential (class in dgl.nn.mxnet.utils)
(class in dgl.nn.pytorch.utils)
Set2Set (class in dgl.nn.mxnet.glob)
(class in dgl.nn.pytorch.glob)
set_e_initializer() (dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
(dgl.NodeFlow method)
set_mean_and_std() (dgl.data.chem.TencentAlchemyDataset method)
set_n_initializer() (dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
(dgl.NodeFlow method)
SetTransformerDecoder (class in dgl.nn.pytorch.glob)
SetTransformerEncoder (class in dgl.nn.pytorch.glob)
SGConv (class in dgl.nn.mxnet.conv)
(class in dgl.nn.pytorch.conv)
SharedMemoryDGLGraph (class in dgl.contrib.graph_store)
signal() (dgl.contrib.sampling.dis_sampler.SamplerSender method)
SingleTaskStratifiedSplitter (class in dgl.data.chem)
smiles_to_bigraph() (in module dgl.data.chem)
smiles_to_complete_graph() (in module dgl.data.chem)
softmax_edges() (in module dgl)
softmax_nodes() (in module dgl)
SortPooling (class in dgl.nn.mxnet.glob)
(class in dgl.nn.pytorch.glob)
split_dataset() (in module dgl.data.utils)
src (dgl.udf.EdgeBatch attribute)
src_mul_edge() (in module dgl.function)
SST (class in dgl.data)
start() (dgl.contrib.sampling.dis_sampler.SamplerPool method)
subgraph() (dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
subgraphs() (dgl.DGLGraph method)
Subset (class in dgl.data.utils)
successors() (dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
sum() (in module dgl.function)
sum_edges() (in module dgl)
sum_nodes() (in module dgl)
SumPooling (class in dgl.nn.mxnet.glob)
(class in dgl.nn.pytorch.glob)
T
TAGConv (class in dgl.nn.mxnet.conv)
(class in dgl.nn.pytorch.conv)
task_pos_weights (dgl.data.chem.Tox21 attribute)
TencentAlchemyDataset (class in dgl.data.chem)
to() (dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
to_bidirected() (in module dgl.transform)
to_canonical_etype() (dgl.DGLHeteroGraph method)
to_hetero() (in module dgl)
to_homo() (in module dgl)
to_networkx() (dgl.DGLGraph method)
(in module dgl)
to_simple_graph() (in module dgl.transform)
topk_edges() (in module dgl)
topk_nodes() (in module dgl)
topological_nodes_generator() (in module dgl.traversal)
Tox21 (class in dgl.data.chem)
TUDataset (class in dgl.data)
U
u_add_e() (in module dgl.function)
u_add_v() (in module dgl.function)
u_div_e() (in module dgl.function)
u_div_v() (in module dgl.function)
u_dot_e() (in module dgl.function)
u_dot_v() (in module dgl.function)
u_mul_e() (in module dgl.function)
u_mul_v() (in module dgl.function)
u_sub_e() (in module dgl.function)
u_sub_v() (in module dgl.function)
unbatch() (in module dgl)
unbatch_hetero() (in module dgl)
update_all() (dgl.contrib.graph_store.SharedMemoryDGLGraph method)
(dgl.DGLGraph method)
(dgl.DGLHeteroGraph method)
V
v_add_e() (in module dgl.function)
v_add_u() (in module dgl.function)
v_div_e() (in module dgl.function)
v_div_u() (in module dgl.function)
v_dot_e() (in module dgl.function)
v_dot_u() (in module dgl.function)
v_mul_e() (in module dgl.function)
v_mul_u() (in module dgl.function)
v_sub_e() (in module dgl.function)
v_sub_u() (in module dgl.function)
W
weight (dgl.nn.mxnet.conv.GraphConv attribute)
(dgl.nn.pytorch.conv.GraphConv attribute)
worker() (dgl.contrib.sampling.dis_sampler.SamplerPool method)
worker_id (dgl.contrib.graph_store.SharedMemoryDGLGraph attribute)
Z
zero_initializer() (in module dgl.init)
Read the Docs
v: latest
Versions
latest
0.4.x
0.3.x
0.2.x
0.1.x
Downloads
On Read the Docs
Project Home
Builds
Free document hosting provided by
Read the Docs
.