Graph-Based Retrieval

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16 papers in the last four weeks, up 78% on the four weeks before. 0.2% of all new papers.

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From Chunks to Functional Evidence: Function-Aware Retrieval for EDA Documentation QA
Oct 7, 2026Xiaotian Qiu, Kairui Liu, Shi Chenyi +3Evidence Retrieval Retrieval-Augmented Generation
Zhejiang University · Shanghai Innovation Institute
Foresight-over-Graph: Reasoning Beyond Local Horizons for Knowledge Base Question Answering
Oct 6, 2026Yang Hong, Yajun Yang, Xin Wang +2Multi-Hop QA LLM Reasoning with Graphs
Tianjin University, Tianjin, China · Beijing Jiaotong University, Beijing, China
Aligning Multimodal Patient Evidence with Biomedical Knowledge Graphs for Clinical LLMs
Oct 5, 2026Jiawen Du, Arshan Ali Khan, Chenhao Zhang +7KG Construction Graph-Based Retrieval
University of North Carolina at Chapel Hill · Siddaganga Institute of Technology · Foci Labs +1
SkillGATE: Gate-Aware Monte Carlo Tree Search for Skill Retrieval
Oct 4, 2026Rongchen Zhao, Yu Chen, Yanming Yang +5Monte Carlo Tree Search Graph-Based Retrieval
School of Software Engineering, Sun Yat-Sen University, Guangdong, China · School of Future Technology, South China University of Technology, Guangdong, China · Institute for Math and AI, Wuhan University, Wuhan, China
From Rules to Neural Graphs: Scalable Structured Prediction for Patent Prior Art Search
Oct 1, 2026Nikolai Zenovkin, Sebastian BjörkqvistLegal IR Graph-Based Retrieval
IPRally Technologies Oy, Helsinki, Finland
JoinGR: Learning to Traverse Join Graphs for Table Retrieval
Oct 1, 2026Sandipan De, Abhijit Chakraborty, Sambaran Bandyopadhyay +1Graph-Based Retrieval Table Retrieval
Arizona State University · Adobe Research, India
TAGGRAPH: Tag-Augmented Graphs for Graph Retrieval of Agent Persistent Histories
Sep 29, 2026Yu-Shu Chen, Yu-Jung Liang, Pengtao XieGraph-Based Retrieval Memory Agent Benchmarks
Department of Electrical and Computer Engineering University of California, San Diego La Jolla, CA 92093, USA
Corpus-Guided Dual-Path Propagation for Graph Retrieval-Augmented Generation
Sep 29, 2026Baoxian Liu, Tong WeiMulti-Hop QA Graph Retrieval-Augmented Generation
College of Software Engineering, Southeast University, Nanjing 210096, China · Key Laboratory of Computer Network and Information Integration (Southeast University), Ministry of Education, China · School of Computer Science and Engineering, Southeast University, Nanjing 210096, China
Follow the Entities: A Corpus Map for Agentic Search
Sep 29, 2026Soyeong Jeong, Sujay Kumar Jauhar, Sung Ju Hwang +1Multi-Hop QA Agentic Search
KAIST · Microsoft
Better Nearest Neighbor Graph Indices via (Efficient) LLM-Guided Pruning
Sep 28, 2026Fangzhou Wu, Haike Xu, Sandeep SilwalSemantic Search Graph-Based Retrieval
University of Wisconsin–Madison · MIT
ConRAG: Lightweight inference of multi-hop relations
Sep 28, 2026Kilian Bänziger, Sonia Laguna, Markus Kreft +4Graph Retrieval-Augmented Generation Relational Reasoning
Agentic Systems Lab ETH Zurich · Agentic Systems Lab, ETH Zurich Norwegian University of Science and Technology
STITCH-RAG: Spatio-Temporal Influence Tracing over Topic Hypergraphs for Multi-Hop Retrieval-Augmented Generation
Sep 28, 2026Haodong Yang, Mengzhu Chen, Jia CaiMulti-Hop QA Retrieval-Augmented Generation
School of Statistics And Data Science, Guangdong University of Finance & Economics Guangzhou, China
TCMaster: Confidence-Aware Querying and Workload-Guided Physical Design for Multi-Source Traditional Chinese Medicine Knowledge Graphs
Sep 22, 2026Zheng Chen, Yuzhu Li, Haoxuan Li +3Graph-Based Retrieval Knowledge Graphs
Tsinghua University, China · Beijing University of Chinese Medicine, China · Guangdong Provincial Laboratory of Traditional Chinese Medicine, China
Quanta: A Self-Contained Python Library for Hybrid Retrieval over Quantised Embeddings, Lexical Indexes, and Knowledge Graphs
Sep 16, 2026Ioannis E. LivierisGraph-Based Retrieval Hybrid Retrieval
Novelcore, Athens, GR 10436 · Department of Business Administration & Organization Administration, University of Peloponnese, Kalamata, GR 24100
When Is Graph Structure Worth Its Cost? The Case for Structure Pricing in Retrieval-Augmented Generation
Sep 16, 2026Yuzhong Zhang, Haoyang Ma, Chao Peng +3Retrieval-Augmented Generation Graph Retrieval-Augmented Generation
The Chinese University of Hong Kong, Shenzhen · The Hong Kong University of Science and Technology · University of Edinburgh +1
Complete Suffix Prediction for Recommendation via Latent Retrieval over Process Graphs
Sep 14, 2026Sarra Madad, Myriam Maumy, Fr{é}d{é}ric Bertrand +1Predictive Process Monitoring Process Mining
UTT, LIST3N - OPTI, QAD · LIST3N Lab, AI Lab · University of Technology of Troyes (UTT), QAD +11
MOSAIC: Query-Aware Exploration Policy Adaptation for GraphRAG
Sep 12, 2026EunKyeong Lee, Kyeong-Jin Oh, Jinwon Kim +4Multi-Hop QA Graph Retrieval-Augmented Generation
KT Corporation
LiteRAG: Cost-Efficient Graph-Based Retrieval-Augmented Generation
Sep 9, 2026Daniel Alejandro Coll Tejeda, Pedro García López, Daniel Barcelona-PonsMulti-Hop QA Retrieval-Augmented Generation
Universitat Rovira i Virgili
SE-GoS: Self-Evolving Graph-of-Skills for Skill Library at Scale
Sep 8, 2026Dawei Fu, Cheng Jiang, Sitian Qian +2Graph-Based Retrieval LLM Agent Skill Retrieval
Peking University · Tencent · University of Edinburgh +2
Seed-Anchored Budget-Bounded Graph Rendering for Question Answering on Industry-Standard Power-Grid Information and Exchange Models
Sep 2, 2026Jayakumar Manoharan, Yamini SehgalGraph Retrieval-Augmented Generation Graph-Based Retrieval
Electric Power Research Institute (EPRI), 1300 W. T. Harris Blvd, Charlotte, NC, 28262, USA
SSAKG 2.0: An Open-Source Package for Structural Associative Sequence Memory and Context-Based Retrieval
Sep 1, 2026Przemysław Stokłosa, Janusz A. Starzyk, Paweł RaifGraph-Based Retrieval Knowledge Graphs
Institute of Management and Information Technology Bielsko-Biała, Poland · University of Information Technology and Management Rzeszów, Poland · Silesian University of Technology Gliwice, Poland
Automated Tree Knowledge Graph Construction using Ontology Expansion and Retrieval from Vietnamese History Textbooks
Sep 1, 2026Ket Doan Nguyen, Minh N. H. NguyenRelation Extraction KG Construction
The University of Danang, Vietnam-Korea University of Information and Communication Technology, Danang, Vietnam
ISO-RAG: Isoperimetric Noise Control for Retrieval-Augmented Generation
Sep 1, 2026Siyuan Zhang, Hanchen Wang, Dong Wen +2Multi-Hop QA Graph Retrieval-Augmented Generation
University of Technology Sydney · University of New South Wales
Hidden relationships in a document-derived property graph: top-k chunk embeddings and inverse-distance weighting over a dynamically evolving ontology
Aug 31, 2026Bilge Kaan Karamete, Hunter CastenKG Construction Graph-Based Retrieval
Babel Street
AdaPath: Query-Adaptive Path-Finding via Path-Bank for Multi-Hop Implicit Biomedical KGQA
Aug 31, 2026Jun Hyeong Kim, Dongki Kim, Yinhua Piao +1Multi-Hop QA Biomedical QA
KAIST
Query-Side Attacks on GNN-Based KGQA: Tracing Failures from Entity Linking to Answer Generation
Aug 26, 2026Pankaj Kumar, Subhankar MishraGraph-Based Retrieval Adversarial Perturbations
National Institute of Science Education and Research · Homi Bhabha National Institute
EviReform: Evidence-Guided Query Reformulation for Multi-Hop Graph Retrieval
Aug 13, 2026Xinlong Xu, Yoshua Y. LiMulti-Hop QA Graph-Based Retrieval
Nanjing University of Information Science and Technology · Meituan
SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges
Aug 12, 2026Yuchao Wu, Junqin Li, XingCheng Liang +4Multi-Hop QA Retrieval-Augmented Generation
Zleap AI
Comparative Approaches to Agent Retrieval over Large Skill Libraries
Aug 6, 2026Indivara Kolluru, Nathan SportsmanGraph-Based Retrieval LLM Agent Skill Retrieval
Praetorian
Searching for Sound-Meaning Collisions: Graph-Based Affordance Retrieval and Multi-Evaluator Ranking for Pun Translation at CLEF 2026 JOKER Task 2
Aug 5, 2026Russell Taylor, Adam Brikman, Prateek AwateGraph-Based Retrieval Machine Translation
Georgia Institute of Technology, North Ave NW, Atlanta, GA 30332

Oct 7, 2026, cs.IRJ/K move · Enter open · S save

From Chunks to Functional Evidence: Function-Aware Retrieval for EDA Documentation QA

Xiaotian Qiu, Kairui Liu, Shi Chenyi, Jinyuan Deng+2

Zhejiang University · Shanghai Innovation Institute

Evidence Retrieval Retrieval-Augmented Generation Document QA Graph-Based Retrieval Electronic Design Automation

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Retrieval-Augmented Generation (RAG) is widely used to ground answers in documents. For complex technical documentation, however, the primary bottleneck is often not model reasoning but a mismatch between a query and the way knowledge is organized for retrieval. This mismatch is pronounced in Electronic Design Automation (EDA) documentation, where the information needed for an answer is scattered across heterogeneous yet tightly coupled artifacts. We therefore redesign the basic retrieval unit of RAG. Instead of operating on isolated chunks or binary relations, we collect typed artifacts into EDA functional units. Each unit is recorded as a hyperedge with links to its source chunks. We then train an encoder to align queries with functional units and combine unit retrieval with direct chunk retrieval. After mapping the selected units back to their sources, a unified reranker chooses the evidence given to the generator. On the newly constructed EDADocEval-QA dataset, our method improves ROUGE-L by 37.1% over Chunk RAG and 55.6% over the strongest graph baseline. On the public ORD-MMBench benchmark, it improves ROUGE-L by 30.0% over the strongest baseline. These results support function-aware evidence organization in the evaluated EDA documentation settings.

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Latest papers 91