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run_KECG.sh
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run_KECG.sh
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#!/bin/sh
cd ..
# CUDA_VISIBLE_DEVICES=0 python3 run.py --log kecg \
# --data_dir "data/DBP15K/zh_en" \
# --rate 0.3 \
# --epoch 1000 \
# --check 10 \
# --update 10 \
# --train_batch_size -1 \
# --encoder "KECG" \
# --hiddens "100,100,100" \
# --heads "2,2" \
# --decoder "TransE,Align" \
# --sampling "T,N" \
# --k "5,25" \
# --margin "3,3" \
# --alpha "1,1" \
# --feat_drop 0.0 \
# --lr 0.005 \
# --train_dist "normalize_manhattan" \
# --test_dist "euclidean"
# CUDA_VISIBLE_DEVICES=0 python3 run.py --log kecg \
# --data_dir "data/DBP15K/ja_en" \
# --rate 0.3 \
# --epoch 1000 \
# --check 10 \
# --update 10 \
# --train_batch_size -1 \
# --encoder "KECG" \
# --hiddens "100,100,100" \
# --heads "2,2" \
# --decoder "TransE,Align" \
# --sampling "T,N" \
# --k "5,25" \
# --margin "3,3" \
# --alpha "1,1" \
# --feat_drop 0.0 \
# --lr 0.005 \
# --train_dist "normalize_manhattan" \
# --test_dist "euclidean"
# CUDA_VISIBLE_DEVICES=0 python3 run.py --log kecg \
# --data_dir "data/DBP15K/fr_en" \
# --rate 0.3 \
# --epoch 1000 \
# --check 10 \
# --update 10 \
# --train_batch_size -1 \
# --encoder "KECG" \
# --hiddens "100,100,100" \
# --heads "2,2" \
# --decoder "TransE,Align" \
# --sampling "T,N" \
# --k "5,25" \
# --margin "3,3" \
# --alpha "1,1" \
# --feat_drop 0.0 \
# --lr 0.005 \
# --train_dist "normalize_manhattan" \
# --test_dist "euclidean"