Abstract: Graph contrastive learning is usually performed by first conducting Graph Data Augmentation (GDA) and then employing a contrastive learning pipeline to train GNNs. As we know that GDA is an ...
shell: python -m sglang.launch_server --model-path /npu/traindata/Qwen3-Next-80B-A3B-Instruct/ --port 30000 --tp-size 4 --context-length 4096 --mem-fraction-static 0. ...
Abstract: A vast amount of textual and structural information is required for knowledge graph construction and its downstream tasks. However, most of the current knowledge graphs are incomplete due to ...
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