Comments (1)
Hi!
The codes are at ./text-graph-grounding and can be directly applied to Arxiv. You can refer to the example data (Cora) and prepare our released Arxiv data to match the format.
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Related Issues (20)
- 关于graph matching HOT 1
- AttributeError: 'str' object has no attribute 'requires_grad_'和config.json missing报错 HOT 4
- graphgpt/train文件夹下不同的train_[*].py文件的作用? HOT 1
- AttributeError: 'GraphLlamaConfig' object has no attribute 'pretrain_graph_model_path' HOT 2
- Issue in train_graph.py fail to load the model HOT 2
- GNN Baseline Too Low HOT 3
- How to evaluate the link prediction performance of GraphGPT HOT 2
- 请问在运行bash graphgpt_stage1.sh时报错RuntimeError: PytorchStreamReader failed reading zip archive: failed finding central directory HOT 1
- 请问是否支持中文描述的图?
- ValueError: error in the number of list
- ModuleNotFoundError: No module named 'graphgpt' HOT 1
- How to get feature embeddings for nodes in graph data?
- StopIteration: Caught StopIteration in replica 0 on device 0.
- Training data issues
- 训练选择显卡设备 HOT 2
- Inquiry about raw TAG data
- Inquiry about the function of 'use_graph_start_end'
- Error in saving model after stage1 tuning HOT 1
- ValueError: Can't find a valid checkpoint at /data1/path/checkpoints/stage_2/checkpoint-50000
- 关于stage_1输出 HOT 3
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