Views
No views yet
hivqvae.pth.
The checkpoints of graph-language models based on llama2-7b-chat and vicuna-v1-3-7b are contained in /llama2 and /vicuna, respectively.
Inside each directory, the remaining checkpoints are organized as (using vicuna as an example):llava-hvqvae2-vicuna-v1-3-7b-pretrain: model after stage 1 pretraining;graph-text-molgen: models finetuned using Mol-Instruction data under different tasks, e.g., forward reaction prediction;molcap-llava-hvqvae2-vicuna-v1-3-7b-finetune_lora-50ep: model fintuned using CHEBI-20 dataset for molecular captioning;MoleculeNet-llava-hvqvae2-vicuna-v1-3-7b-finetune_lora-large*: models finetuned via different classification-based molecular property prediction tasks;1@inproceedings{chen2025hierarchical,
2title={Hierarchical Graph Tokenization for Molecule-Language Alignment},
3author={Yongqiang Chen and Quanming Yao and Juzheng Zhang and James Cheng and Yatao Bian},
4booktitle={Forty-second International Conference on Machine Learning},
5year={2025},
6url={https://openreview.net/forum?id=wpbNczwAwV}
7}