--embed_size = 10
--hidden_size = 16
--kwargs = {"arch0": 2, "arch": 0, "arch2": 0, "arch3": 3, "embed_size": 10, "bn": 0, "out_layer": 2, "ignore_self_loops": false, "n_groups": 8}
--use_existing_edges = true
--aegnn_kwargs:gc_kwargs:exog_alpha = 0.5
--aegnn_kwargs:gc_kwargs:graph_construction_method = ["top-k", ["dot", "Softmax"], 0.25]
--aegnn_kwargs:learn_edge_weights = false
--aegnn_kwargs:gnn_kwargs:act_kwargs = {}
--aegnn_kwargs:gnn_kwargs:act_layer = "Identity"
--aegnn_kwargs:gnn_kwargs:dropout = 0.0
--aegnn_kwargs:gnn_kwargs:gcn_kwargs = {"node_layer": "gcstGRU", "edge_act": "Identity", "normalize": 0, "nn_order": 2, "n_hops": 0, "bias": false, "rnn_kwargs": {"xs_size": 10, "xt_size": 1, "conv": "cheb", "layer": "kgLinear", "order": 2, "n_hops": 2, "n_groups": 8, "embed_size": 10}, "n_nodes": 1276, "embed_size": 10, "cheb_k": 0, "n_rnn_layers": 1}
--aegnn_kwargs:gnn_kwargs:gcn_layer = "FlowConv"
--aegnn_kwargs:gnn_kwargs:n_hops = 1
--aegnn_kwargs:gnn_kwargs:use_edge_attributes = true
--aegnn_kwargs:gnn_kwargs:use_edge_weights = true
--agg_kwargs:aggregation_method = "static_r"
--clustering:cluster_method = "Agglomerative"
--clustering:clustered_representation = "histogram"
--clustering:n_clusters = 8
--mapper_kwargs:temporal_mapper = "last"
--mapper_kwargs:temporal_mapper_kwargs = {}
--rnn_kwargs:dropout = 0.0
--rnn_kwargs:n_rnn_layers = 1
--rnn_kwargs:rnn_kwargs = {"xs_size": 0, "xt_size": 1, "conv": "cheb", "layer": "kgLinear", "order": 2, "n_hops": 2, "n_groups": 8, "embed_size": 10}
--rnn_kwargs:rnn_layer = "gcstGRU"