Exploring Hierarchical Molecular Graph Representation in Multimodal LLMs
Fuente:
arXiv
Saved in:
| Main Authors: | Hu, Chengxin, Li, Hao, Yuan, Yihe, Li, Jing, Tsang, Ivor |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Omni-Mol: Multitask Molecular Model for Any-to-any Modalities
by: Hu, Chengxin, et al.
Published: (2025)
by: Hu, Chengxin, et al.
Published: (2025)
Learning ORDER-Aware Multimodal Representations for Composite Materials Design
by: Li, Xinyao, et al.
Published: (2026)
by: Li, Xinyao, et al.
Published: (2026)
PROUD: PaRetO-gUided Diffusion Model for Multi-objective Generation
by: Yao, Yinghua, et al.
Published: (2024)
by: Yao, Yinghua, et al.
Published: (2024)
Towards Harmless Rawlsian Fairness Regardless of Demographic Prior
by: Wang, Xuanqian, et al.
Published: (2024)
by: Wang, Xuanqian, et al.
Published: (2024)
Structure-Aware Fusion with Progressive Injection for Multimodal Molecular Representation Learning
by: Jing, Zihao, et al.
Published: (2025)
by: Jing, Zihao, et al.
Published: (2025)
IKNO: Infinite-order Kernel Neural Operators
by: Zhu, Pengyuan, et al.
Published: (2026)
by: Zhu, Pengyuan, et al.
Published: (2026)
Alpha and Prejudice: Improving $α$-sized Worst-case Fairness via Intrinsic Reweighting
by: Li, Jing, et al.
Published: (2024)
by: Li, Jing, et al.
Published: (2024)
Cross-Context Backdoor Attacks against Graph Prompt Learning
by: Lyu, Xiaoting, et al.
Published: (2024)
by: Lyu, Xiaoting, et al.
Published: (2024)
Second-Order Fine-Tuning without Pain for LLMs:A Hessian Informed Zeroth-Order Optimizer
by: Zhao, Yanjun, et al.
Published: (2024)
by: Zhao, Yanjun, et al.
Published: (2024)
MGTS-Net: Exploring Graph-Enhanced Multimodal Fusion for Augmented Time Series Forecasting
by: Hao, Shule, et al.
Published: (2025)
by: Hao, Shule, et al.
Published: (2025)
Transductive Reward Inference on Graph
by: Qu, Bohao, et al.
Published: (2024)
by: Qu, Bohao, et al.
Published: (2024)
Uncover and Unlearn Nuisances: Agnostic Fully Test-Time Adaptation
by: Srey, Ponhvoan, et al.
Published: (2025)
by: Srey, Ponhvoan, et al.
Published: (2025)
Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP
by: Chen, Zixiang, et al.
Published: (2023)
by: Chen, Zixiang, et al.
Published: (2023)
A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization
by: Ye, Feiyang, et al.
Published: (2024)
by: Ye, Feiyang, et al.
Published: (2024)
Advancing Analytic Class-Incremental Learning through Vision-Language Calibration
by: Zhao, Binyu, et al.
Published: (2026)
by: Zhao, Binyu, et al.
Published: (2026)
Semantic Refinement with LLMs for Graph Representations
by: Thapaliya, Safal, et al.
Published: (2025)
by: Thapaliya, Safal, et al.
Published: (2025)
Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling
by: Li, Mengran, et al.
Published: (2025)
by: Li, Mengran, et al.
Published: (2025)
Covariance-Adaptive Sequential Black-box Optimization for Diffusion Targeted Generation
by: Lyu, Yueming, et al.
Published: (2024)
by: Lyu, Yueming, et al.
Published: (2024)
AdaRank: Disagreement Based Module Rank Prediction for Low-rank Adaptation
by: Dong, Yihe
Published: (2024)
by: Dong, Yihe
Published: (2024)
A Multimodal Graph Neural Network Framework of Cancer Molecular Subtype Classification
by: Li, Bingjun, et al.
Published: (2023)
by: Li, Bingjun, et al.
Published: (2023)
Double Variance Reduction: A Smoothing Trick for Composite Optimization Problems without First-Order Gradient
by: Di, Hao, et al.
Published: (2024)
by: Di, Hao, et al.
Published: (2024)
Exploiting Latent Linearity in LLMs Improves Explainable Molecular Representation Learning
by: Li, Zhuoran, et al.
Published: (2024)
by: Li, Zhuoran, et al.
Published: (2024)
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings
by: Wang, Duo, et al.
Published: (2024)
by: Wang, Duo, et al.
Published: (2024)
Can Molecular Evolution Mechanism Enhance Molecular Representation?
by: Li, Kun, et al.
Published: (2025)
by: Li, Kun, et al.
Published: (2025)
Flow-Direct: Feedback-Efficient and Reusable Guidance for Flow Models via Non-Parametric Guidance Field
by: Tan, Kim Yong, et al.
Published: (2026)
by: Tan, Kim Yong, et al.
Published: (2026)
Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation
by: Tan, Kim Yong, et al.
Published: (2025)
by: Tan, Kim Yong, et al.
Published: (2025)
Distributional Multi-objective Black-box Optimization for Diffusion-model Inference-time Multi-Target Generation
by: Tan, Kim Yong, et al.
Published: (2025)
by: Tan, Kim Yong, et al.
Published: (2025)
HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning
by: Xu, Zhuo, et al.
Published: (2024)
by: Xu, Zhuo, et al.
Published: (2024)
NTSFormer: A Self-Teaching Graph Transformer for Multimodal Isolated Cold-Start Node Classification
by: Hu, Jun, et al.
Published: (2025)
by: Hu, Jun, et al.
Published: (2025)
Representation-Guided Discrete Molecular Graph Retrosynthesis
by: Huang, Jiahai, et al.
Published: (2026)
by: Huang, Jiahai, et al.
Published: (2026)
Training-Free Dataset Pruning for Instance Segmentation
by: Dai, Yalun, et al.
Published: (2025)
by: Dai, Yalun, et al.
Published: (2025)
Mitigating Mismatch within Reference-based Preference Optimization
by: Yuan, Suqin, et al.
Published: (2026)
by: Yuan, Suqin, et al.
Published: (2026)
Multi-level Self-supervised Pretraining on Compositional Hierarchical Graph for Molecular Property Prediction
by: Liu, Xiayu, et al.
Published: (2026)
by: Liu, Xiayu, et al.
Published: (2026)
HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning
by: Zhu, Qiuyu, et al.
Published: (2024)
by: Zhu, Qiuyu, et al.
Published: (2024)
From Isolated Conversations to Hierarchical Schemas: Dynamic Tree Memory Representation for LLMs
by: Rezazadeh, Alireza, et al.
Published: (2024)
by: Rezazadeh, Alireza, et al.
Published: (2024)
Diversified Batch Selection for Training Acceleration
by: Hong, Feng, et al.
Published: (2024)
by: Hong, Feng, et al.
Published: (2024)
Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting
by: Deng, Jinliang, et al.
Published: (2024)
by: Deng, Jinliang, et al.
Published: (2024)
FM-IRL: Flow-Matching for Reward Modeling and Policy Regularization in Reinforcement Learning
by: Wan, Zhenglin, et al.
Published: (2025)
by: Wan, Zhenglin, et al.
Published: (2025)
Mastering Continual Reinforcement Learning through Fine-Grained Sparse Network Allocation and Dormant Neuron Exploration
by: Zheng, Chengqi, et al.
Published: (2025)
by: Zheng, Chengqi, et al.
Published: (2025)
Dual-Modality Representation Learning for Molecular Property Prediction
by: Zhao, Anyin, et al.
Published: (2025)
by: Zhao, Anyin, et al.
Published: (2025)
Similar Items
-
Omni-Mol: Multitask Molecular Model for Any-to-any Modalities
by: Hu, Chengxin, et al.
Published: (2025) -
Learning ORDER-Aware Multimodal Representations for Composite Materials Design
by: Li, Xinyao, et al.
Published: (2026) -
PROUD: PaRetO-gUided Diffusion Model for Multi-objective Generation
by: Yao, Yinghua, et al.
Published: (2024) -
Towards Harmless Rawlsian Fairness Regardless of Demographic Prior
by: Wang, Xuanqian, et al.
Published: (2024) -
Structure-Aware Fusion with Progressive Injection for Multimodal Molecular Representation Learning
by: Jing, Zihao, et al.
Published: (2025)