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marius_gs.yaml
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marius_gs.yaml
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model:
learning_task: NODE_CLASSIFICATION
encoder:
# use_hashmap_sets: true
use_incoming_nbrs: true
use_outgoing_nbrs: true
layers:
- train_neighbor_sampling:
use_hashmap_sets: true
type: UNIFORM
options:
max_neighbors: 15
eval_neighbor_sampling:
use_hashmap_sets: true
type: UNIFORM
options:
max_neighbors: 15
init:
type: GLOROT_NORMAL
type: GRAPH_SAGE
options:
input_dim: 128
output_dim: 256
aggregator: MEAN
bias: true
bias_init:
type: ZEROS
activation: RELU
- train_neighbor_sampling:
type: UNIFORM
options:
max_neighbors: 10
eval_neighbor_sampling:
type: UNIFORM
options:
max_neighbors: 10
init:
type: GLOROT_NORMAL
type: GRAPH_SAGE
options:
input_dim: 256
output_dim: 256
aggregator: MEAN
bias: true
bias_init:
type: ZEROS
activation: RELU
- train_neighbor_sampling:
type: UNIFORM
options:
max_neighbors: 5
eval_neighbor_sampling:
type: UNIFORM
options:
max_neighbors: 5
init:
type: GLOROT_NORMAL
type: GRAPH_SAGE
options:
input_dim: 256
output_dim: 172
aggregator: MEAN
bias: true
bias_init:
type: ZEROS
activation: NONE
optimizer:
type: ADAM
options:
learning_rate: 0.003
storage:
device_type: cuda
dataset:
base_directory: datasets/ogbn_papers100m/
num_edges: 1615685872
num_nodes: 111059956
num_relations: 1
num_train: 1207179
num_valid: 125265
num_test: 214338
feature_dim: 128
num_classes: 172
edges:
type: HOST_MEMORY
nodes:
type: HOST_MEMORY
features:
type: HOST_MEMORY
prefetch: false
shuffle_input: true
full_graph_evaluation: true
training:
batch_size: 1000
num_epochs: 10
pipeline:
sync: false
staleness_bound: 64
batch_host_queue_size: 64
batch_device_queue_size: 64
batch_loader_threads: 4
batch_transfer_threads: 4
epochs_per_shuffle: 1
logs_per_epoch: 10
evaluation:
batch_size: 1000
pipeline:
sync: true
epochs_per_eval: 1