unsupported operand type(s) for +: 'int' and 'str'

[tohich51]

I got this issue using struc2vec and node2vec methods `--------------------------------------------------------------------------- TypeError Traceback (most recent call last)

in 1 model_struc2vec = ge.Struc2Vec(G, 10, 80, workers=4, verbose=40, ) #init model ----> 2 model_struc2vec.train(window_size = 5, iter = 3)# train model 3 embeddings_struc2vec = model_struc3vec.get_embeddings()# get embedding vectors /anaconda3/envs/python36/lib/python3.6/site-packages/ge-0.0.0-py3.6.egg/ge/models/struc2vec.py in train(self, embed_size, window_size, workers, iter) 114 print("Learning representation...") 115 model = Word2Vec(sentences, size=embed_size, window=window_size, min_count=0, hs=1, sg=1, workers=workers, --> 116 iter=iter) 117 print("Learning representation done!") 118 self.w2v_model = model /anaconda3/envs/python36/lib/python3.6/site-packages/gensim-3.6.0-py3.6-macosx-10.7-x86_64.egg/gensim/models/word2vec.py in __init__(self, sentences, corpus_file, size, alpha, window, min_count, max_vocab_size, sample, seed, workers, min_alpha, sg, hs, negative, ns_exponent, cbow_mean, hashfxn, iter, null_word, trim_rule, sorted_vocab, batch_words, compute_loss, callbacks, max_final_vocab) 765 callbacks=callbacks, batch_words=batch_words, trim_rule=trim_rule, sg=sg, alpha=alpha, window=window, 766 seed=seed, hs=hs, negative=negative, cbow_mean=cbow_mean, min_alpha=min_alpha, compute_loss=compute_loss, --> 767 fast_version=FAST_VERSION) 768 769 def _do_train_epoch(self, corpus_file, thread_id, offset, cython_vocab, thread_private_mem, cur_epoch, /anaconda3/envs/python36/lib/python3.6/site-packages/gensim-3.6.0-py3.6-macosx-10.7-x86_64.egg/gensim/models/base_any2vec.py in __init__(self, sentences, corpus_file, workers, vector_size, epochs, callbacks, batch_words, trim_rule, sg, alpha, window, seed, hs, negative, ns_exponent, cbow_mean, min_alpha, compute_loss, fast_version, **kwargs) 757 raise TypeError("You can't pass a generator as the sentences argument. Try an iterator.") 758 --> 759 self.build_vocab(sentences=sentences, corpus_file=corpus_file, trim_rule=trim_rule) 760 self.train( 761 sentences=sentences, corpus_file=corpus_file, total_examples=self.corpus_count, /anaconda3/envs/python36/lib/python3.6/site-packages/gensim-3.6.0-py3.6-macosx-10.7-x86_64.egg/gensim/models/base_any2vec.py in build_vocab(self, sentences, corpus_file, update, progress_per, keep_raw_vocab, trim_rule, **kwargs) 941 trim_rule=trim_rule, **kwargs) 942 report_values['memory'] = self.estimate_memory(vocab_size=report_values['num_retained_words']) --> 943 self.trainables.prepare_weights(self.hs, self.negative, self.wv, update=update, vocabulary=self.vocabulary) 944 945 def build_vocab_from_freq(self, word_freq, keep_raw_vocab=False, corpus_count=None, trim_rule=None, update=False): /anaconda3/envs/python36/lib/python3.6/site-packages/gensim-3.6.0-py3.6-macosx-10.7-x86_64.egg/gensim/models/word2vec.py in prepare_weights(self, hs, negative, wv, update, vocabulary) 1820 # set initial input/projection and hidden weights 1821 if not update: -> 1822 self.reset_weights(hs, negative, wv) 1823 else: 1824 self.update_weights(hs, negative, wv) /anaconda3/envs/python36/lib/python3.6/site-packages/gensim-3.6.0-py3.6-macosx-10.7-x86_64.egg/gensim/models/word2vec.py in reset_weights(self, hs, negative, wv) 1837 for i in xrange(len(wv.vocab)): 1838 # construct deterministic seed from word AND seed argument -> 1839 wv.vectors[i] = self.seeded_vector(wv.index2word[i] + str(self.seed), wv.vector_size) 1840 if hs: 1841 self.syn1 = zeros((len(wv.vocab), self.layer1_size), dtype=REAL) TypeError: unsupported operand type(s) for +: 'int' and 'str' `

[wwb306]

节点类型要求是str类型

[YurongChen1998]

do you deal with this problem, I got the same problem

[tohich51]

No, i didn't manage to fix it

[ldmtwo]

I encountered this using FastText, which also uses the same Word2Vec backend from gensim. It seems the model was corrupt in my case. No idea why, but I started a new training cycle to move on.

And that code they use is really weird: wv.index2word[i] + str(self.seed)

[radkoff]

For me, this happened when using a graph with integer node names. String nodes worked fine. If you don't want to wait for a fix in gensim, you can relabel them with relabel_nodes().