Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval | Paper Citation Record

Observation 7af4b2e8-46eb-48ff-aa52-172375584a31 · outbound

This paper cites Graph-based agent memory: Taxonomy, techniques, and applications.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Graph-based agent memory: Taxonomy, techniques, and applications

Reference 1

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This paper cites Large language model- enhanced symbolic reasoning for knowledge base com- pletion.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Large language model- enhanced symbolic reasoning for knowledge base com- pletion

Reference 2

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Observation 90d011bb-0a72-4115-9658-23b50f4b91c1 · outbound

This paper cites Knowpath: An llm-supported knowledge graph construction and path finding framework to explainable mooc recommendations.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Knowpath: An llm-supported knowledge graph construction and path finding framework to explainable mooc recommendations

Reference 3

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Observation bd90608d-65ce-4f27-9dbb-60ad63ac43af · outbound

This paper cites Cti-thinker: an llm-driven system for cti knowledge graph construc- JOURNAL OF LATEX CLASS FILES.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Cti-thinker: an llm-driven system for cti knowledge graph construc- JOURNAL OF LATEX CLASS FILES

Reference 4

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Observation 323471fd-a030-4604-a140-e3a87618ae65 · outbound

This paper cites Scenellm: Implicit lan- guage reasoning in llm for dynamic scene graph gener- ation.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Scenellm: Implicit lan- guage reasoning in llm for dynamic scene graph gener- ation

Reference 5

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Observation e5777678-2387-4f00-b6b8-524a5d4db756 · outbound

This paper cites Graphpilot: Gui task automation with one-step llm reasoning powered by knowledge graph.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Graphpilot: Gui task automation with one-step llm reasoning powered by knowledge graph

Reference 6

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Observation 8a177991-fde6-4e6b-a3b5-97659dee5b2f · outbound

This paper cites Reliable reasoning path: Distilling effective guidance for llm reasoning with knowledge graphs.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Reliable reasoning path: Distilling effective guidance for llm reasoning with knowledge graphs

Reference 7

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Observation d2f25880-cd62-4c67-aebc-ce54bb68e6b4 · outbound

This paper cites Gnn-llm hybrid cog- nitive architectures for generative task adaptation in multi-human multi-robot collaborative disassem- bly.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Gnn-llm hybrid cog- nitive architectures for generative task adaptation in multi-human multi-robot collaborative disassem- bly

Reference 8

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Observation a654f4aa-7f60-426f-9989-4ebb4ca5b5fe · outbound

This paper cites Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks

Reference 9

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Observation d615c415-2d3c-4e7e-9a3b-602e935add69 · outbound

This paper cites Enriching seman- tic profiles into knowledge graph for recommender systems using large language models.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Enriching seman- tic profiles into knowledge graph for recommender systems using large language models

Reference 10

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Observation 329aef9b-2c23-4e20-b715-82715084eed5 · outbound

This paper cites Approxi- mate knowledge graphs: Privacy-preserving healthcare data synthesis via llm-driven approximation.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Approxi- mate knowledge graphs: Privacy-preserving healthcare data synthesis via llm-driven approximation

Reference 11

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Observation 9cc13d07-83a7-4b70-b78b-e564dc4a92f2 · outbound

This paper cites Synergistic joint model of knowledge graph and llm for enhancing xai- based clinical decision support systems.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Synergistic joint model of knowledge graph and llm for enhancing xai- based clinical decision support systems

Reference 12

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Observation 6fe8a4c1-f685-4839-9bad-3518dea046a3 · outbound

This paper cites St-llm+: Graph enhanced spatio-temporal large language models for traffic pre- diction.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval St-llm+: Graph enhanced spatio-temporal large language models for traffic pre- diction

Reference 13

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Observation dcada299-ac19-4464-b62b-504a87a4f229 · outbound

This paper cites Full-stack knowledge graph and llm framework for post-quantum cyber readiness.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Full-stack knowledge graph and llm framework for post-quantum cyber readiness

Reference 14

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Observation 0cdcb827-4644-45e5-bf44-6e68bfd2604f · outbound

This paper cites Tegra: Text encoding with graph and retrieval augmentation for misinformation detection.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Tegra: Text encoding with graph and retrieval augmentation for misinformation detection

Reference 15

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This paper cites Automated carbon-aware assessment of openbim-based ductwork design using knowledge graph–augmented llm multi-agent framework.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Automated carbon-aware assessment of openbim-based ductwork design using knowledge graph–augmented llm multi-agent framework

Reference 16

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Observation dbcd7369-c24e-41f8-aa89-9f523e607590 · outbound

This paper cites Combining llm semantic reasoning with gnn structural modeling for multi-view multi-label feature selection.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Combining llm semantic reasoning with gnn structural modeling for multi-view multi-label feature selection

Reference 17

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Observation 4376fc82-0362-4caa-9fc4-4e9035559df5 · outbound

This paper cites Llm in the middle: A systematic review of threats and mitigations to real-world llm-based systems.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Llm in the middle: A systematic review of threats and mitigations to real-world llm-based systems

Reference 18

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Observation 337cf974-728a-4862-abda-703c00cbc645 · outbound

This paper cites From generation to judgment: Opportunities and chal- lenges of llm-as-a-judge.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval From generation to judgment: Opportunities and chal- lenges of llm-as-a-judge

Reference 19

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Observation 5e3b3b5f-7df4-4e35-a4f5-63cc877eafdd · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Semi-Supervised Classification with Graph Convolutional Networks

Reference 20

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Observation 2e684491-fea2-4874-9417-29c2c648c72e · outbound

This paper cites Inductive representation learning on large graphs.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Inductive representation learning on large graphs

Reference 21

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Observation 5a0c9b5c-7c2a-4d31-aa5c-ab4cf45231ec · outbound

This paper cites Simplifying graph convolutional net- works.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Simplifying graph convolutional net- works

Reference 22

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Observation d7030877-68ed-4acc-9241-6ac61575ee16 · outbound

This paper cites The graph neural network model.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval The graph neural network model

Reference 23

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Observation 50150db5-1e6b-4d31-847f-985336ef26b4 · outbound

This paper cites Do transformers really perform badly for graph representation?.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Do transformers really perform badly for graph representation?

Reference 24

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Observation 29bdd900-1247-4907-a220-aac21fdc1485 · outbound

This paper cites Text2kgbench: A benchmark for ontology- driven knowledge graph generation from text.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Text2kgbench: A benchmark for ontology- driven knowledge graph generation from text

Reference 25

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Observation 44df664b-cd24-4de0-a0e5-5d20540e6017 · outbound

This paper cites Docs2kg: A human-llm collaborative approach to unified knowledge graph construction from heterogeneous documents.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Docs2kg: A human-llm collaborative approach to unified knowledge graph construction from heterogeneous documents

Reference 26

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Observation 9ab03e3b-beee-498c-ac4b-7702757a47db · outbound

This paper cites Knowledge graph extraction from textual data using llm.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Knowledge graph extraction from textual data using llm

Reference 27

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Observation 19deb4f6-aa32-4dd3-8147-b778009a92f6 · outbound

This paper cites Enhancing Knowledge Graph Construction Using Large Language Models.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Enhancing Knowledge Graph Construction Using Large Language Models

Reference 28

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Observation 9ad6edf2-a4aa-418a-9e3d-1f11df9dace5 · outbound

This paper cites Ctikg: Llm-powered knowledge graph construction from cyber threat intelligence.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Ctikg: Llm-powered knowledge graph construction from cyber threat intelligence

Reference 29

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Observation 9c0c4f05-b85b-42fb-a429-0f58e2acfe32 · outbound

This paper cites From human experts to machines: An LLM supported approach to ontology and knowledge graph construction.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval From human experts to machines: An LLM supported approach to ontology and knowledge graph construction

Reference 30

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Observation 8e0ce693-d841-43d5-8201-4067e47007d7 · outbound

This paper cites Llm-assisted knowledge graph engineering: Ex- JOURNAL OF LATEX CLASS FILES.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Llm-assisted knowledge graph engineering: Ex- JOURNAL OF LATEX CLASS FILES

Reference 31

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Observation e908bf9e-4de5-4ee9-909a-a525ffe68aaa · outbound

This paper cites Complex ontology alignment using llms: A case study.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Complex ontology alignment using llms: A case study

Reference 32

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Observation 376b37da-16d8-4008-a4c2-31785ec6da7d · outbound

This paper cites Iterative Zero-Shot LLM Prompting for Knowledge Graph Construction.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Iterative Zero-Shot LLM Prompting for Knowledge Graph Construction

Reference 33

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Observation e58330ab-9619-45f1-ae34-82a950b075da · outbound

This paper cites GraphEval: A Knowledge-Graph Based LLM Hallucination Evaluation Framework.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval GraphEval: A Knowledge-Graph Based LLM Hallucination Evaluation Framework

Reference 34

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Observation 43848306-c92c-4faa-bc22-83d988b225eb · outbound

This paper cites Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering

Reference 35

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Observation 120a5fcb-fbf4-4fd0-b029-b7c201e21066 · outbound

This paper cites Medical graph rag: Evidence- based medical large language model via graph retrieval- augmented generation.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Medical graph rag: Evidence- based medical large language model via graph retrieval- augmented generation

Reference 36

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Observation dfc62668-be6b-4d6e-912b-4950cfe33648 · outbound

This paper cites A self-correcting agentic graph rag for clinical decision support in hepatology.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval A self-correcting agentic graph rag for clinical decision support in hepatology

Reference 37

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Observation a6bc7526-459c-4573-9fc4-828a0b2fead3 · outbound

This paper cites Graph retrieval-augmented gen- eration: A survey.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Graph retrieval-augmented gen- eration: A survey

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:03:38.036670Z

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Observation 328d46fb-6a02-471c-8feb-eae5ffd53dac · outbound

This paper cites Gnn-rag: Graph neural retrieval for efficient large language model reasoning on knowledge graphs.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Gnn-rag: Graph neural retrieval for efficient large language model reasoning on knowledge graphs

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:03:37.741253Z

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Observation 1c62a90b-7e4a-48f6-9e2b-e60e419e266c · outbound

This paper cites Enrich- on-graph: Query-graph alignment for complex reason- ing with llm enriching.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Enrich- on-graph: Query-graph alignment for complex reason- ing with llm enriching

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:03:38.036684Z

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Observation 5964c19f-86fd-46e7-b5f3-3fcbc723024f · outbound

This paper cites A survey of large language models for graphs.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval A survey of large language models for graphs

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:03:38.034059Z

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Observation 81b3b079-ecf3-4ec2-8f99-429d9f8bc9fb · outbound

This paper cites Learning on Large-scale Text-attributed Graphs via Variational Inference.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Learning on Large-scale Text-attributed Graphs via Variational Inference

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T09:13:30.321352Z

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Observation 952516cb-4a01-4129-94d1-1c0adff466a3 · outbound

This paper cites Login: A large language model consulted graph neu- ral network training framework.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Login: A large language model consulted graph neu- ral network training framework

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:03:37.985145Z

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Observation 62661ba7-b53d-45d4-9f71-7a7ca7a49cec · outbound

This paper cites Distilling large language models for text-attributed graph learning.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Distilling large language models for text-attributed graph learning

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:03:38.020520Z

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Observation ee13a0c4-2410-4173-bb0c-5f6cfb70f672 · outbound

This paper cites GraphEdit: Large Language Models for Graph Structure Learning.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval GraphEdit: Large Language Models for Graph Structure Learning

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T09:13:30.349161Z

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Observation afa58490-2737-4ea9-9c49-fb2e8c2e16be · outbound

This paper cites LLaGA: Large Language and Graph Assistant.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval LLaGA: Large Language and Graph Assistant

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:13:30.254136Z

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Observation 61a76fd5-74a1-4749-b150-3d1d18a68b38 · outbound

This paper cites Can large language models improve the adversarial robustness of graph neural networks?.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Can large language models improve the adversarial robustness of graph neural networks?

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:03:37.702945Z

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Observation 00636b18-e728-4607-b3ff-db6afe6bbbef · outbound

This paper cites Save-tag: Llm-based interpolation for long-tailed text-attributed graphs.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Save-tag: Llm-based interpolation for long-tailed text-attributed graphs

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:13:30.273598Z

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Observation dbf0427d-b691-4417-b870-8536ffd599a5 · outbound

This paper cites GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 49

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T09:13:30.326536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 7b8836ec-3a77-4086-bc49-6ab53549e40c · outbound

This paper cites Instructgraph: Boosting large language models via graph-centric instruction tuning and pref- erence alignment.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Instructgraph: Boosting large language models via graph-centric instruction tuning and pref- erence alignment

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:03:37.697312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation ec7eef49-e3dc-4035-a1ce-9ebb822b304c · outbound

This paper cites From nodes to narratives: Explaining graph neural networks with llms and graph context.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval From nodes to narratives: Explaining graph neural networks with llms and graph context

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:03:38.041043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation ed256f9c-67bd-491c-89f3-40d6ac72b7c9 · outbound

This paper cites Graphgpt: Graph instruction tuning for large language models.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Graphgpt: Graph instruction tuning for large language models

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:03:37.691339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 063cb5eb-5447-4302-a59f-96be1d217f96 · outbound

This paper cites Higpt: Heterogeneous graph language model.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Higpt: Heterogeneous graph language model

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:03:37.694286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 72988ad2-2087-4727-a5ac-d6080f4367e8 · outbound

This paper cites GOFA: A Generative One-For-All Model for Joint Graph Language Modeling.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval GOFA: A Generative One-For-All Model for Joint Graph Language Modeling

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:13:30.376117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation ea05458b-3ed1-4f87-b740-f9cd9ef55a03 · outbound

This paper cites Each graph is a new language: Graph learning with llms.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Each graph is a new language: Graph learning with llms

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:03:37.700039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation aaa4842c-3cef-4084-a311-b10cf068aff9 · outbound

This paper cites Finqa: A training-free dynamic knowledge graph question answering system in finance with llm-based revision.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Finqa: A training-free dynamic knowledge graph question answering system in finance with llm-based revision

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:03:37.705514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation bdd1b4e4-5d75-4d28-8d63-90a47bcf941e · outbound

This paper cites A gail fine-tuned llm enhanced framework for low-resource knowledge graph question answering.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval A gail fine-tuned llm enhanced framework for low-resource knowledge graph question answering

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:03:37.999368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 1edb0ac1-9fd4-49a9-9a7c-b2fd8fd98184 · outbound

This paper cites Knowledge Graph Large Language Model (KG-LLM) for Link Prediction.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Knowledge Graph Large Language Model (KG-LLM) for Link Prediction

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:13:30.392011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 45bc48d9-a8ce-41fd-9ae1-9c0da7086190 · outbound

This paper cites Knowledge graph question answering for materials science (kgqa4mat).

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Knowledge graph question answering for materials science (kgqa4mat)

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:03:38.038669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation f52e57a9-a1a8-406e-9bd9-b2f3c1e51918 · outbound

This paper cites Generate-on-Graph: Treat LLM as both Agent and KG in Incomplete Knowledge Graph Question Answering.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Generate-on-Graph: Treat LLM as both Agent and KG in Incomplete Knowledge Graph Question Answering

Reference 60

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T09:13:30.359504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 309046ed-1dd8-41dc-9cb0-dbea80088db0 · outbound

This paper cites LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:13:30.364764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 6f9b4401-fdea-495f-975a-025b79cea472 · outbound

This paper cites Scene graph generation: A comprehensive survey.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Scene graph generation: A comprehensive survey

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:03:37.982119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation c34f0a90-ae6b-4f59-bf79-0ea0bda404a3 · outbound

This paper cites A comprehensive survey of scene graphs: Gen- eration and application.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval A comprehensive survey of scene graphs: Gen- eration and application

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:03:37.676823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 0792ceb9-2701-4eaf-88cd-9e27a8457438 · outbound

This paper cites A Comprehensive Survey of Scene Graphs: Generation and Application.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval A Comprehensive Survey of Scene Graphs: Generation and Application

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:13:30.401597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation cdd8cf8e-329c-47a6-8282-04f00937ff74 · outbound

This paper cites 3dgraphllm: Combining semantic graphs and large language models for 3d scene understanding.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval 3dgraphllm: Combining semantic graphs and large language models for 3d scene understanding

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:03:38.006709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 8ca294ea-27aa-4ce8-8da5-e80b9f82af5e · outbound

This paper cites Optimal scene graph planning with large language model guidance.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Optimal scene graph planning with large language model guidance

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:03:37.675128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 860379cc-9d92-4783-a6d1-39182068b650 · outbound

This paper cites Sg-nav: Online 3d scene graph prompting for llm-based zero- shot object navigation.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Sg-nav: Online 3d scene graph prompting for llm-based zero- shot object navigation

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:03:37.672850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation fa90eb9b-bb66-4658-b741-55f995e9042d · outbound

This paper cites Sgformer: Semantic graph transformer for point cloud-based 3d scene graph generation.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Sgformer: Semantic graph transformer for point cloud-based 3d scene graph generation

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:03:37.679911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 4770122a-9ec8-457f-b3b2-e685ec9d2d90 · outbound

This paper cites Llm4sgg: Large language models for weakly supervised scene graph generation.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Llm4sgg: Large language models for weakly supervised scene graph generation

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:03:37.663873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 0bdbbc75-ea52-4519-baab-4a9305232495 · outbound

This paper cites Toward Scene Graph and Layout Guided Complex 3D Scene Generation.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Toward Scene Graph and Layout Guided Complex 3D Scene Generation

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:13:30.240246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 3e824305-9e25-4337-ab88-cc33ea0dc277 · outbound

This paper cites Time is on my sight: scene graph filtering for dynamic environment perception in an LLM-driven robot.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Time is on my sight: scene graph filtering for dynamic environment perception in an LLM-driven robot

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:13:30.215290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 06886df0-dade-4d35-bf16-42797322a63f · outbound

This paper cites What Makes a Scene ? Scene Graph-based Evaluation and Feedback for Controllable Generation.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval What Makes a Scene ? Scene Graph-based Evaluation and Feedback for Controllable Generation

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:13:30.202840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation bc74da4e-5546-4f2b-bf07-300d4cba439d · outbound

This paper cites Llm meets scene graph: Can large language models understand and generate scene graphs? a benchmark and empirical study.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Llm meets scene graph: Can large language models understand and generate scene graphs? a benchmark and empirical study

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:03:37.661442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 1c721120-045f-40e6-a5ac-89413961de79 · outbound

This paper cites Less is More: Toward Zero-Shot Local Scene Graph Generation via Foundation Models.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Less is More: Toward Zero-Shot Local Scene Graph Generation via Foundation Models

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:13:30.191731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 85944d4f-c007-4beb-8319-f1e86da8f56b · outbound

This paper cites Sakr-edit: Scene- aware knowledge reasoning for text-to-image editing.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Sakr-edit: Scene- aware knowledge reasoning for text-to-image editing

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:03:37.987627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 7b07d57f-e89e-4ba5-89cd-013659d94235 · outbound

This paper cites Scenecraft: An llm agent for synthesizing 3d scenes as blender code.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Scenecraft: An llm agent for synthesizing 3d scenes as blender code

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:03:38.018432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation e814b6cc-95ed-4adc-8bf1-dae4fc28dd34 · outbound

This paper cites EditRoom: LLM-parameterized Graph Diffusion for Composable 3D Room Layout Editing.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval EditRoom: LLM-parameterized Graph Diffusion for Composable 3D Room Layout Editing

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:13:30.206648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 943b8120-e78e-4dd8-a17b-7dfd400394c2 · outbound

This paper cites Llm- powered scene graph representation learning for image retrieval via visual triplet-based graph transformation.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Llm- powered scene graph representation learning for image retrieval via visual triplet-based graph transformation

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:03:38.010074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 5fd2d747-c62f-4678-894a-86b6c8fdffcb · outbound

This paper cites Scene graph generation with role-playing large language models.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Scene graph generation with role-playing large language models

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:03:38.012191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 134584f1-a544-4e22-b2c9-796461bfc3b6 · outbound

This paper cites Enabling perspective-aware ai with contextual scene graph gen- eration.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Enabling perspective-aware ai with contextual scene graph gen- eration

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:03:38.003740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation decdf574-ff70-4b9f-af3b-d89050d70a45 · outbound

This paper cites Planner3d: Llm-enhanced graph prior meets 3d indoor scene explicit regularization.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Planner3d: Llm-enhanced graph prior meets 3d indoor scene explicit regularization

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:03:38.028883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 80a618f6-1be4-450a-acd0-c4c0769e3e92 · outbound

This paper cites Llava- spacesgg: Visual instruct tuning for open-vocabulary scene graph generation with enhanced spatial relations.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Llava- spacesgg: Visual instruct tuning for open-vocabulary scene graph generation with enhanced spatial relations

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:03:38.016160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation bac5caac-17b8-4f39-b6d8-65eff7615397 · outbound

This paper cites Integrapsg: Integrating llm guidance with multimodal feature fu- sion for single-stage panoptic scene graph generation.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Integrapsg: Integrating llm guidance with multimodal feature fu- sion for single-stage panoptic scene graph generation

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:03:38.031078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation de6b9cc7-f47b-4df6-982c-a25aa034543f · outbound

This paper cites Llm-enhanced scene graph learning for household rearrangement.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Llm-enhanced scene graph learning for household rearrangement

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:03:37.996902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 956b7e79-9fd1-426f-8f87-9db33a6a1650 · outbound

This paper cites SGEdit: Bridging LLM with Text2Image Generative Model for Scene Graph-based Image Editing.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval SGEdit: Bridging LLM with Text2Image Generative Model for Scene Graph-based Image Editing

Reference 85

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:13:30.195824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 48a7a378-49d8-47d7-ac11-91920b253a96 · outbound

This paper cites Scanedit: Hierarchically-guided functional 3d scan editing.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Scanedit: Hierarchically-guided functional 3d scan editing

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:03:37.690975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 18ea74ad-fc7c-449e-881f-3964b3d5752f · outbound

This paper cites Lafa: Agentic llm-driven federated analytics over decentralized data sources.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Lafa: Agentic llm-driven federated analytics over decentralized data sources

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T18:03:37.715571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 3f984038-0fea-44bd-ae5e-80a75a8481d6 · outbound

This paper cites X-gridagent: An llm-powered agentic ai system for assisting power grid analysis.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval X-gridagent: An llm-powered agentic ai system for assisting power grid analysis

Reference 88

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:13:30.344322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 8c4c1669-b4d2-4a0a-a2ff-8ace42b8b180 · outbound

This paper cites 2509.22009 , archivePrefix=.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval 2509.22009 , archivePrefix=

Reference 89

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T09:13:30.312165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 8bbe0eec-ae8a-4c64-ad92-c082c99126de · outbound

This paper cites A survey on agent-as-a-judge.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval A survey on agent-as-a-judge

Reference 90

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:13:30.316499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation ecb6dd21-69f2-4ea5-b030-5851ce784c50 · outbound

This paper cites MAGMA: A Multi-Graph based Agentic Memory Architecture for AI Agents.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval MAGMA: A Multi-Graph based Agentic Memory Architecture for AI Agents

Reference 91

Resolution: verified exact; local_arxiv, observed 2026-05-10T09:13:30.259064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation afd99c19-bf4b-4234-9fea-c827eb64bf9f · outbound

This paper cites Enhancing Agentic Textual Graph Retrieval with Synthetic Stepwise Supervision.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Enhancing Agentic Textual Graph Retrieval with Synthetic Stepwise Supervision

Reference 92

Resolution: verified exact; local_arxiv, observed 2026-05-10T09:13:30.297818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation c8ff90fc-9eea-43a7-b275-589fcad57c21 · outbound

This paper cites Agenticmath: Enhancing llm reasoning via agentic-based math data generation.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Agenticmath: Enhancing llm reasoning via agentic-based math data generation

Reference 93

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:13:30.307123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 83414659-080e-450f-9b43-cd1ff3ac7b25 · outbound

This paper cites AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:13:30.288374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation d88d1feb-4473-4d60-825e-27dfa3c19f8e · outbound

This paper cites From experience to strategy: Empowering llm agents with trainable graph memory.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval From experience to strategy: Empowering llm agents with trainable graph memory

Reference 95

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:13:30.244301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 8b85fad6-629e-4ef3-98dd-1866b72958d9 · outbound

This paper cites AgREE: Agentic Reasoning for Knowledge Graph Completion on Emerging Entities.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval AgREE: Agentic Reasoning for Knowledge Graph Completion on Emerging Entities

Reference 96

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:13:30.293165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 2ccb7b4a-eadd-40b4-a83f-16f492fd56ec · outbound

This paper cites When LLM Agents Meet Graph Optimization: An Automated Data Quality Improvement Approach.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval When LLM Agents Meet Graph Optimization: An Automated Data Quality Improvement Approach

Reference 97

Resolution: verified exact; local_arxiv, observed 2026-05-10T09:13:30.264056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 42d158e2-76a2-4de8-98b7-4e54e5b93e7e · outbound

This paper cites S- dag: A subject-based directed acyclic graph for multi-agent heterogeneous reasoning.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval S- dag: A subject-based directed acyclic graph for multi-agent heterogeneous reasoning

Reference 98

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:13:30.248913Z

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Observation af8a6ebf-471c-47f5-abf3-89ee0fdc2da5 · outbound

This paper cites GraphAgents: Knowledge Graph-Guided Agentic AI for Cross-Domain Materials Design.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval GraphAgents: Knowledge Graph-Guided Agentic AI for Cross-Domain Materials Design

Reference 99

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:13:30.268891Z

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Observation 3479ccae-81fb-4a79-a1d3-6c8281c70971 · outbound

This paper cites Node-as-Agent: Graph Agentic Network.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval Node-as-Agent: Graph Agentic Network

Reference 100

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:13:30.279239Z

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No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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