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Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

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Hi, I downloaded the data you referenced and tried to run your code on it, but unfortunately ran into some issues. (1) I am working on a machine with cuda...

Dear Author, I am trying to apply the HGT model in my research work. For that I am doing preprocess work, I found your data.py and Preprocess_OAG.py very helpful. However,...

Dear author, I would like to ask how can I get the two data files graph_Med.pk and graph_OAG.pk. In preprocess_OAG.py, there is no PR_Med_20190919.tsv file in the oag_raw I downloaded

**Relevant library versions**- 1. transformers==4.16.2 2. PyTorch==1.10.1 3. Python==3.7.0 **Task**- Paper-Label(L2) classification task **Dataset**: CS subset **Observation** Results mentioned in the paper (avg across 5 runs)- (NDCG) 0.403±.041 (MRR) 0.439±.078...

Dear HGT authors, You implemented HetGNN as one of the baselines in your paper. But I couldn't find it in this repo. However, I do find this in your code...

Hello I and my friend tried to replicate the experiment on the ogbn-mag dataset. We haven't changed anything in configurations compared to the original code. You can see my running...

Hello author, I set up the same environment as in the article, but I get the following error, can you please help me? Traceback (most recent call last): File "preprocess_ogbn_mag.py",...

Hi, thanks for the great paper and open sourced code. It seems a great leap in graph learning. I have one question: my graph is very dynamic, and it won't...

I use graph_nn dataset to training paper field classification. When it starts training it calls "Segmentation fault". That's my train command. `train_paper_field.py --data_dir ./data --model_dir ./exp --conv_name hgt --domain _NN...

Hi there, I'm new to HGT and your work inspired me a lot! I just have three quick questions: 1. considering n layers used, how could I obtain a unique...