Topic Modeling and Link-Prediction for Material Property Discovery
Fuente:
arXiv
Saved in:
| Main Authors: | Barron, Ryan C., Eren, Maksim E., Stanev, Valentin, Matuszek, Cynthia, Alexandrov, Boian S. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Matrix Factorization for Inferring Associations and Missing Links
by: Barron, Ryan, et al.
Published: (2025)
by: Barron, Ryan, et al.
Published: (2025)
Bridging Legal Knowledge and AI: Retrieval-Augmented Generation with Vector Stores, Knowledge Graphs, and Hierarchical Non-negative Matrix Factorization
by: Barron, Ryan C., et al.
Published: (2025)
by: Barron, Ryan C., et al.
Published: (2025)
Binary Bleed: Fast Distributed and Parallel Method for Automatic Model Selection
by: Barron, Ryan, et al.
Published: (2024)
by: Barron, Ryan, et al.
Published: (2024)
TopicTag: Automatic Annotation of NMF Topic Models Using Chain of Thought and Prompt Tuning with LLMs
by: Wanna, Selma, et al.
Published: (2024)
by: Wanna, Selma, et al.
Published: (2024)
HEAL: Hierarchical Embedding Alignment Loss for Improved Retrieval and Representation Learning
by: Bhattarai, Manish, et al.
Published: (2024)
by: Bhattarai, Manish, et al.
Published: (2024)
Instructor-inspired Machine Learning for Robust Molecular Property Prediction
by: Wu, Fang, et al.
Published: (2023)
by: Wu, Fang, et al.
Published: (2023)
Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization
by: Barron, Ryan C., et al.
Published: (2024)
by: Barron, Ryan C., et al.
Published: (2024)
Predicting Grain Growth in Polycrystalline Materials Using Deep Learning Time Series Models
by: Younes, Eliane, et al.
Published: (2025)
by: Younes, Eliane, et al.
Published: (2025)
Case-Guided Sequential Assay Planning in Drug Discovery
by: Chen, Tianchi, et al.
Published: (2026)
by: Chen, Tianchi, et al.
Published: (2026)
StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction
by: Wang, Shengkun, et al.
Published: (2024)
by: Wang, Shengkun, et al.
Published: (2024)
CoFEE: Reasoning Control for LLM-Based Feature Discovery
by: Westermann, Maximilian, et al.
Published: (2026)
by: Westermann, Maximilian, et al.
Published: (2026)
ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding
by: Xiao, Yijia, et al.
Published: (2024)
by: Xiao, Yijia, et al.
Published: (2024)
Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization
by: Barron, Ryan, et al.
Published: (2024)
by: Barron, Ryan, et al.
Published: (2024)
VCDF: A Validated Consensus-Driven Framework for Time Series Causal Discovery
by: Yu, Gene, et al.
Published: (2026)
by: Yu, Gene, et al.
Published: (2026)
BatGPT-Chem: A Foundation Large Model For Retrosynthesis Prediction
by: Yang, Yifei, et al.
Published: (2024)
by: Yang, Yifei, et al.
Published: (2024)
LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery
by: Ma, Pingchuan, et al.
Published: (2024)
by: Ma, Pingchuan, et al.
Published: (2024)
Financial Assets Dependency Prediction Utilizing Spatiotemporal Patterns
by: Zhu, Haoren, et al.
Published: (2024)
by: Zhu, Haoren, et al.
Published: (2024)
CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction
by: Sepehri, Mohammad Shahab, et al.
Published: (2025)
by: Sepehri, Mohammad Shahab, et al.
Published: (2025)
Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHRs
by: Wornow, Michael, et al.
Published: (2024)
by: Wornow, Michael, et al.
Published: (2024)
AgenticSciML: Collaborative Multi-Agent Systems for Emergent Discovery in Scientific Machine Learning
by: Jiang, Qile, et al.
Published: (2025)
by: Jiang, Qile, et al.
Published: (2025)
Flexible Parallel Neural Network Architecture Model for Early Prediction of Lithium Battery Life
by: Jiang, Lidang, et al.
Published: (2024)
by: Jiang, Lidang, et al.
Published: (2024)
Bitcoin Price Prediction using Machine Learning and Combinatorial Fusion Analysis
by: Wu, Yuanhong, et al.
Published: (2026)
by: Wu, Yuanhong, et al.
Published: (2026)
Enhancing Resilience and Scalability in Travel Booking Systems: A Microservices Approach to Fault Tolerance, Load Balancing, and Service Discovery
by: Barua, Biman, et al.
Published: (2024)
by: Barua, Biman, et al.
Published: (2024)
MANA-Net: Mitigating Aggregated Sentiment Homogenization with News Weighting for Enhanced Market Prediction
by: Wang, Mengyu, et al.
Published: (2024)
by: Wang, Mengyu, et al.
Published: (2024)
Avocado Price Prediction Using a Hybrid Deep Learning Model: TCN-MLP-Attention Architecture
by: Zhang, Linwei, et al.
Published: (2025)
by: Zhang, Linwei, et al.
Published: (2025)
Fine-Tuning Pre-trained Large Time Series Models for Prediction of Wind Turbine SCADA Data
by: Fan, Yuwei, et al.
Published: (2024)
by: Fan, Yuwei, et al.
Published: (2024)
CausalStock: Deep End-to-end Causal Discovery for News-driven Stock Movement Prediction
by: Li, Shuqi, et al.
Published: (2024)
by: Li, Shuqi, et al.
Published: (2024)
Off-the-Shelf Neural Network Architectures for Forex Time Series Prediction come at a Cost
by: Zafeiriou, Theodoros, et al.
Published: (2024)
by: Zafeiriou, Theodoros, et al.
Published: (2024)
Integrating Physics and Data-Driven Approaches: An Explainable and Uncertainty-Aware Hybrid Model for Wind Turbine Power Prediction
by: Gijón, Alfonso, et al.
Published: (2025)
by: Gijón, Alfonso, et al.
Published: (2025)
Graph Neural Network-Based Predictive Modeling for Robotic Plaster Printing
by: Rivera, Diego Machain, et al.
Published: (2025)
by: Rivera, Diego Machain, et al.
Published: (2025)
Efficient Training of Transformers for Molecule Property Prediction on Small-scale Datasets
by: Prakash, Shivesh
Published: (2024)
by: Prakash, Shivesh
Published: (2024)
Predicting Stock Movement with BERTweet and Transformers
by: Albada, Michael Charles, et al.
Published: (2025)
by: Albada, Michael Charles, et al.
Published: (2025)
Robust Time Series Causal Discovery for Agent-Based Model Validation
by: Yu, Gene, et al.
Published: (2024)
by: Yu, Gene, et al.
Published: (2024)
Programmable Virtual Humans Toward Human Physiologically-Based Drug Discovery
by: Wu, You, et al.
Published: (2025)
by: Wu, You, et al.
Published: (2025)
Unveiling Discrete Clues: Superior Healthcare Predictions for Rare Diseases
by: Zhao, Chuang, et al.
Published: (2025)
by: Zhao, Chuang, et al.
Published: (2025)
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction
by: Shu, Zishan, et al.
Published: (2025)
by: Shu, Zishan, et al.
Published: (2025)
DIMON: Learning Solution Operators of Partial Differential Equations on a Diffeomorphic Family of Domains
by: Yin, Minglang, et al.
Published: (2024)
by: Yin, Minglang, et al.
Published: (2024)
Deep Learning Models Meet Financial Data Modalities
by: Khubiev, Kasymkhan, et al.
Published: (2025)
by: Khubiev, Kasymkhan, et al.
Published: (2025)
GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction
by: Ding, Fan, et al.
Published: (2025)
by: Ding, Fan, et al.
Published: (2025)
FutureX-Pro: Extending Future Prediction to High-Value Vertical Domains
by: Liu, Jiashuo, et al.
Published: (2026)
by: Liu, Jiashuo, et al.
Published: (2026)
Similar Items
-
Matrix Factorization for Inferring Associations and Missing Links
by: Barron, Ryan, et al.
Published: (2025) -
Bridging Legal Knowledge and AI: Retrieval-Augmented Generation with Vector Stores, Knowledge Graphs, and Hierarchical Non-negative Matrix Factorization
by: Barron, Ryan C., et al.
Published: (2025) -
Binary Bleed: Fast Distributed and Parallel Method for Automatic Model Selection
by: Barron, Ryan, et al.
Published: (2024) -
TopicTag: Automatic Annotation of NMF Topic Models Using Chain of Thought and Prompt Tuning with LLMs
by: Wanna, Selma, et al.
Published: (2024) -
HEAL: Hierarchical Embedding Alignment Loss for Improved Retrieval and Representation Learning
by: Bhattarai, Manish, et al.
Published: (2024)