AttributeError: 'DGLGraph' object has no attribute '_use_graphbolt'

## 🐛 Bug

I got the bug:
```
Creating minibatch pretraining dataloader...
Traceback (most recent call last):
File "/home/s12gb-2/miniconda3/envs/graph_newset/lib/python3.10/runpy.py", line 196, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/home/s12gb-2/miniconda3/envs/graph_newset/lib/python3.10/runpy.py", line 86, in _run_code
exec(code, run_globals)
File "/home/s12gb-2/DangNha/reset_TXGNN/TxGNN/reproduce/train.py", line 50, in
TxGNN.pretrain(n_epoch = 1,
File "/home/s12gb-2/DangNha/reset_TXGNN/TxGNN/txgnn/TxGNN.py", line 155, in pretrain
dataloader = dist.DistEdgeDataLoader(
File "/home/s12gb-2/miniconda3/envs/graph_newset/lib/python3.10/site-packages/dgl/distributed/dist_dataloader.py", line 863, in __init__
self.collator = EdgeCollator(g, eids, graph_sampler, **collator_kwargs)
File "/home/s12gb-2/miniconda3/envs/graph_newset/lib/python3.10/site-packages/dgl/distributed/dist_dataloader.py", line 634, in __init__
Collator.add_edge_attribute_to_graph(self.g, self.graph_sampler.prob)
File "/home/s12gb-2/miniconda3/envs/graph_newset/lib/python3.10/site-packages/dgl/distributed/dist_dataloader.py", line 325, in add_edge_attribute_to_graph
if g._use_graphbolt and data_name:
AttributeError: 'DGLGraph' object has no attribute '_use_graphbolt'
```
When i try to create a DistEdgeDataLoader for training. My code:
```py
import dgl
import dgl.distributed as dist
dataloader = dist.DistEdgeDataLoader(
self.G, # Graph (should be a distributed DGLGraph)
train_eid_dict, # Edge IDs (dict for heterogeneous graphs)
sampler, # Graph sampler (e.g., NeighborSampler)
negative_sampler=Minibatch_NegSampler(self.G, 1, 'fix_dst'), # For link prediction
batch_size=batch_size, # Batch size
shuffle=True, # Shuffle edges during sampling
drop_last=False, # Keep incomplete batches
# exclude='reverse_types', # Optional: for reverse edge exclusion
# reverse_etypes=reverse_etypes, # Optional: reverse edge types
num_workers=0 # Avoid multiprocessing issues (for debugging)
)
```

## My Environment

- DGL Version (e.g., 1.g.,0): dgl==2.4.0+cu121
- Backend Library & Version: Pytorch==2.4.0
- OS (e.g., Linux): Ubuntu
- How you installed DGL (`conda`, `pip`, source): pip install dgl==2.4.1 -f https://data.dgl.ai/wheels/torch-2.4/cu121/repo.html
- Python version: 3.10.16
- CUDA/cuDNN version (if applicable): 12.1

## Question
This bug is come from dgl version right, how can i solve this bug or i have to wait the new update from dgl?