(self, node=247, seq=12, feature=2)

(dataset, lookback, predict_time)

(self, in_channel, out_channel)

(self, x, B, N, L)

(self, x)

(self, idx)

(self, idx)

(self, idx)

(self, a_sparse, input_dim, out_dim, head_n, dropout, alpha)

(self, a_sparse, seq=12, kcnn=2, k=6, m=2)

(self, occ, prc, lb, pt, device, adj)

(self, occ, prc, lb, pt, law, device, adj, num_layers=2, prob=0.6)

(self, occ, prc, lb, pt, device, adj, law, num_layers=2, prop=0.4)

(self, seq, n_fea, node=247)

(self, seq, n_fea, adj_dense)

(self, seq, n_fea, adj_dense)

(self, seq, n_fea, adj_dense, adj_sparse)

(self, seq, n_fea)

(self, seq, n_fea, adj_distance, adj_demand, alpha=0.5)

(self, pre_length=1, embed_size=64, feature_size=0, seq_length=12, hidden_size=32, hard_thre

(self)

(self)

(self)

(ori_data, pse_data, mix_ratio)

(data, train_rate, valid_rate, test_rate)

(law_list, model, model_name, p_epoch, bs, train_occupancy, train_price, seq_l, pre_l, device, adj_dense)

(self, x)

(self, x)

(self, occ, prc)

(self, occ, prc)

(self, occ, prc)

(self, occ, prc)

(self, occ, prc)

(self, occ, prc)

(self, occ, prc)

(self, occ, prc)

(self, occ, prc)

(adj)

(data, support_rate, query_rate)

(test_pre, test_real)

(law_list, global_model, model_name, p_epoch, bs, train_occupancy, train_price, seq_l, pre_l, device, adj_dens

()

(seed, flag)

(model)