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https://deepai.org/publication/developing-a-knowledge-graph-framework-for-pharmacokinetic-natural-product-drug-interactions Developing a Knowledge Graph Framework for Pharmacokinetic Natural Product-Drug Interactions |... Sep 24, 2022 - 09/24/22 - Pharmacokinetic natural product-drug interactions (NPDIs) occur when botanical natural products are co-consumed with pharmaceutica... knowledge graph natural product developing framework https://pmc.ncbi.nlm.nih.gov/articles/PMC5471906/ Machine learning in a graph framework for subcortical segmentation - PMC Automated and reliable segmentation of subcortical structures from human brain magnetic resonance images is of great importance for volumetric and shape... machine learning graph framework subcortical segmentation pmc https://comunica.dev/ Comunica – !-- --A knowledge graph querying framework Flexible SPARQL and GraphQL over decentralized RDF on the Web. knowledge graph comunica querying framework https://openreview.net/forum?id=DK4kl9eTIo Boltzmann Graph Networks: Efficient Energy-Based Framework for Graph Representation Learning |... With the rapid growth of interconnected data, graph-structured representations have become essential for modeling complex relational systems. Graph Neural... graph networks efficient energy boltzmann based framework https://arxiv.org/html/2601.09241v1 When to Trust: A Causality-Aware Calibration Framework for Accurate Knowledge Graph... https://vydirectory.web.id/ Vy Directory - Result-Driven Knowledge Graph Compass - Validated Search Equity Framework Vy Directory - General Business Directory with unlimited categories, quality listings, and valuable resources vy directory knowledge graph result driven https://aclanthology.org/2020.findings-emnlp.163/ AGIF: An Adaptive Graph-Interactive Framework for Joint Multiple Intent Detection and Slot Filling... Libo Qin, Xiao Xu, Wanxiang Che, Ting Liu. Findings of the Association for Computational Linguistics: EMNLP 2020. 2020. https://openreview.net/forum?id=5Q1F4ovQG1 LOBSTUR: A Local Bootstrap Framework for Tuning Unsupervised Representations in Graph Neural... Graph Neural Networks (GNNs) are increasingly used in conjunction with unsupervised learning techniques to learn powerful node representations, but their... bootstrap framework https://arxiv.org/abs/2601.09241v1 [2601.09241v1] When to Trust: A Causality-Aware Calibration Framework for Accurate Knowledge Graph... Abstract page for arXiv paper 2601.09241v1: When to Trust: A Causality-Aware Calibration Framework for Accurate Knowledge Graph Retrieval-Augmented Generation https://openreview.net/forum?id=DxpdovAY8Y Actor-Twin Framework for Task Graph Scheduling | OpenReview Task graph scheduling involves efficiently assigning computational tasks to available processors while ensuring the correctness of the result. As this problem... task graph actor twin framework scheduling https://openreview.net/forum?id=EG9nDN3eGB A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization | OpenReview The efficiency of Logic Optimization (LO) has become one of the key bottlenecks in chip design. To prompt efficient LO, previous studies propose using a key... a graph discovery framework logic optimization enhanced symbolic https://huggingface.co/papers/2603.06007 Paper page - MASFactory: A Graph-centric Framework for Orchestrating LLM-Based Multi-Agent Systems... Join the discussion on this paper page https://www.cqvip.com/doc/journal/7202878901?sign=a7ef3b5e81aa8e65332430002bf1429a285aa6aee36a6edc9314d54cceab9840&expireTime=1791847352550&resourceId=7202878901&type=1 Accelerating materials property prediction via a hybrid Transformer Graph framework that leverages... Machine learning has advanced the rapid prediction of inorganic materials properties,yet data scarcity for specific properties and capturing thermodynamic... materials property https://openreview.net/forum?id=0YeJyvv2rO MCGC: an MLP-based supervised Contrastive learning framework for Graph Classification | OpenReview Graph Neural Networks (GNNs) have been widely used for tasks involving graph-structured data. These networks create matrix representations of graphs by... framework for graph contrastive learning https://aclanthology.org/2024.naacl-long.214/ Set-Aligning Framework for Auto-Regressive Event Temporal Graph Generation - ACL Anthology Xingwei Tan, Yuxiang Zhou, Gabriele Pergola, Yulan He. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational... for auto https://www.atlantis-press.com/proceedings/icemed-25/126015001 A Novel Graph-Based Framework for Cryptocurrency Fraud Detection | Atlantis Press Cryptocurrencies have been widely applied in in-dustries such as finance and physical trade, with Bitcoin and Ethereum becoming the mainstream... a novel graph based cryptocurrency fraud framework https://jmlr.org/papers/v21/19-276.html A Unified Framework for Structured Graph Learning via Spectral Constraints unified framework structured graph learning via https://openreview.net/forum?id=WipsLtH77t Adaptive Self-training Framework for Fine-grained Scene Graph Generation | OpenReview Scene graph generation (SGG) models have suffered from inherent problems regarding the benchmark datasets such as the long-tailed predicate distribution and... self training fine grained scene graph adaptive framework https://arxiv.org/abs/2310.12638 [2310.12638] PSYCHIC: A Neuro-Symbolic Framework for Knowledge Graph Question-Answering Grounding Abstract page for arXiv paper 2310.12638: PSYCHIC: A Neuro-Symbolic Framework for Knowledge Graph Question-Answering Grounding https://github.com/gersteinlab/LocAgent GitHub - gersteinlab/LocAgent: [ACL 2025] Graph-guided agentic framework for code localization... [ACL 2025] Graph-guided agentic framework for code localization https://arxiv.org/abs/2503.09089 - gersteinlab/LocAgent