From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies | Paper Citation Record

Observation 89d469be-920c-4464-851f-1a24f6b61035 · outbound

This paper cites Llama3.1:A405b-parameteropen-sourcelanguagemodel.https: //github.com/facebookresearch/llama, 2024.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Llama3.1:A405b-parameteropen-sourcelanguagemodel.https: //github.com/facebookresearch/llama, 2024

Reference 1

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Observation 61fb91a4-d165-4465-bb21-9dbd68bc6ed4 · outbound

This paper cites Mixtral 8x22b: Sparse mixture-of-experts model with 141b parameters.https://github.com/mistralai/Mixtral, 2024.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Mixtral 8x22b: Sparse mixture-of-experts model with 141b parameters.https://github.com/mistralai/Mixtral, 2024

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.319772Z

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Observation 2478c9f7-58b8-4727-81cf-1132d6e0e820 · outbound

This paper cites Language model guided knowledge graph embeddings.IEEE Access, 10:76008–76020, 2022.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Language model guided knowledge graph embeddings.IEEE Access, 10:76008–76020, 2022

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.312795Z

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Observation 8bb9ebe1-7af5-41b1-a14b-034d25d2a5f7 · outbound

This paper cites Neural machine translation by jointly learning to align and translate.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Neural machine translation by jointly learning to align and translate

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.305536Z

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Observation 5cb9e543-962a-4a93-a3dd-963b53719359 · outbound

This paper cites SciBERT: A pretrained language model for scientific text.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies SciBERT: A pretrained language model for scientific text

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.298660Z

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Observation ce79ba7c-315c-4786-91a9-5bfeea8e717f · outbound

This paper cites Courville, and Pascal Vincent.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Courville, and Pascal Vincent

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.291521Z

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Observation 14389e9f-9e94-4686-ad67-3fe17b8924af · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies On the Opportunities and Risks of Foundation Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:48:08.614029Z

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Observation 85832cc1-e677-44fe-968f-f2669a3e1c27 · outbound

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From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:48:09.284448Z

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Observation 2084df79-730c-47a7-ab69-f69eb6002c30 · outbound

This paper cites an unresolved cited work.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:48:09.277909Z

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Observation 58c069fb-a254-43ef-ac7c-9de12d970a8a · outbound

This paper cites PairRE: Knowl- edge graph embeddings via paired relation vectors.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies PairRE: Knowl- edge graph embeddings via paired relation vectors

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.270859Z

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Observation 3522d8ae-b5ed-4fee-b617-779e75948f74 · outbound

This paper cites SAC-KG: Exploiting large language models as skilled automatic construc- torsfordomainknowledgegraph.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies SAC-KG: Exploiting large language models as skilled automatic construc- torsfordomainknowledgegraph

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.263591Z

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Observation 68bfd77a-778a-4bb3-b2d9-d18d766e10f9 · outbound

This paper cites Augmenting multimodal llms with self-reflective tokens for knowledge-based visual question answering, 2025.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Augmenting multimodal llms with self-reflective tokens for knowledge-based visual question answering, 2025

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.256502Z

Source-reported events for the cited work

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Observation 736456ff-2fcc-4586-8ed7-30ecf652292f · outbound

This paper cites Command r: A retrieval-augmented open source language model.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Command r: A retrieval-augmented open source language model

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.248129Z

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Observation 60069522-e7c3-4d4e-9009-6624c5b41d83 · outbound

This paper cites Command r+: Enhanced version for large-scale tasks.https: //github.com/cohere-ai/command-r-plus, 2024.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Command r+: Enhanced version for large-scale tasks.https: //github.com/cohere-ai/command-r-plus, 2024

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.241082Z

Source-reported events for the cited work

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Observation ba133355-ed0f-4abd-9686-dad15ebbe061 · outbound

This paper cites Gemma: Lightweight llms in 2b and 7b sizes.https: //github.com/google-research/gemma, 2024.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Gemma: Lightweight llms in 2b and 7b sizes.https: //github.com/google-research/gemma, 2024

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.232702Z

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Observation d69a87c9-09e9-4e33-bdc1-069934cc4ccd · outbound

This paper cites Deepseek-v3: Scaling open-source llms via efficient retrieval.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Deepseek-v3: Scaling open-source llms via efficient retrieval

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.224980Z

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Observation a946631a-3983-4e2f-aa72-9181f3b98fa7 · outbound

This paper cites BERT: Pre-training of deep bidirectional transformers for language under- standing.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies BERT: Pre-training of deep bidirectional transformers for language under- standing

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.217716Z

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Observation 5962bea1-9a52-4b1c-b211-c94f000454f5 · outbound

This paper cites Core techniques of question answering systems over knowledge bases: A survey.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Core techniques of question answering systems over knowledge bases: A survey

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.209903Z

Source-reported events for the cited work

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Observation 7e9974e3-5815-4965-8c9b-9e5a8cac6e24 · outbound

This paper cites Knowledge vault: a web-scale approach to probabilistic knowledge fusion.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Knowledge vault: a web-scale approach to probabilistic knowledge fusion

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.202217Z

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Observation c2c972ff-a03e-48b0-b367-3c7f4f18cb4d · outbound

This paper cites Enrich- ing contextualized language model from knowledge graph for biomedical information extraction.Briefings in bioinformatics, 22(3):bbaa110, 2021.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Enrich- ing contextualized language model from knowledge graph for biomedical information extraction.Briefings in bioinformatics, 22(3):bbaa110, 2021

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.194938Z

Source-reported events for the cited work

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Observation f7b2795f-c413-48d7-844e-67b42e3d554c · outbound

This paper cites Comprehensive analysis of knowledge graph embedding techniques benchmarked on link prediction.Electronics, 11(23):3866, 2022.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Comprehensive analysis of knowledge graph embedding techniques benchmarked on link prediction.Electronics, 11(23):3866, 2022

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.187663Z

Source-reported events for the cited work

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Observation e204620a-6721-4ed6-aca9-f2d0d4636345 · outbound

This paper cites A survey on knowledge graph-based recommender sys- tems.IEEE Transactions on Knowledge and Data Engineering, 34(8):3549– 3568, 2022.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies A survey on knowledge graph-based recommender sys- tems.IEEE Transactions on Knowledge and Data Engineering, 34(8):3549– 3568, 2022

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.179869Z

Source-reported events for the cited work

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Observation e7752068-09ae-463c-9cd4-48b583c4cdf2 · outbound

This paper cites Rashid, Anisa Rula, Lukas Schmelzeisen, Juan Sequeda, Steffen Staab, and Antoine Zimmermann.Knowledge Graphs.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Rashid, Anisa Rula, Lukas Schmelzeisen, Juan Sequeda, Steffen Staab, and Antoine Zimmermann.Knowledge Graphs

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.172772Z

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Observation 01d6e2e7-3bb9-4772-9d1e-36425a894d14 · outbound

This paper cites Knowledge graphs.ACM Computing Surveys (Csur), 54(4):1–37, 2021.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Knowledge graphs.ACM Computing Surveys (Csur), 54(4):1–37, 2021

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.165108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c227afbe-c72f-46c6-9c93-802756c95552 · outbound

This paper cites A survey of knowledge-enhanced pre-trained language models.IEEE Trans- actions on Knowledge and Data Engineering, 36:1413–1430, 2023.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies A survey of knowledge-enhanced pre-trained language models.IEEE Trans- actions on Knowledge and Data Engineering, 36:1413–1430, 2023

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.158142Z

Source-reported events for the cited work

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Observation d6d8f003-3a56-41ed-af51-85f1ae2e73af · outbound

This paper cites Can llms be good graph judger for knowledge graph construction?, 2025.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Can llms be good graph judger for knowledge graph construction?, 2025

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.150698Z

Source-reported events for the cited work

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Observation f5de0058-621e-4cbe-a7ee-9ef07540d8c0 · outbound

This paper cites Improving knowledge graph em- bedding using locally and globally attentive relation paths.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Improving knowledge graph em- bedding using locally and globally attentive relation paths

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.143477Z

Source-reported events for the cited work

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Observation 806184c2-50bb-473e-8356-b6833a08dd7e · outbound

This paper cites Carte: pretraining and transfer for tabular learning.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Carte: pretraining and transfer for tabular learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.136231Z

Source-reported events for the cited work

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Observation 13b9088a-44cf-464f-85f7-b68eb10bc372 · outbound

This paper cites Knowledge graph informed fake news classification via heterogeneous representation ensembles.Neurocomputing, 496:208–226, 2022.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Knowledge graph informed fake news classification via heterogeneous representation ensembles.Neurocomputing, 496:208–226, 2022

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.128720Z

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Observation 6f13331a-d6c5-4854-8c0e-2efc9806b305 · outbound

This paper cites Jamba: A production-grade hybrid llm.https://github.com/ ai21labs/Jamba, 2024.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Jamba: A production-grade hybrid llm.https://github.com/ ai21labs/Jamba, 2024

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.120005Z

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Observation 48a976cb-8fcb-4038-8ce8-c00192f4b197 · outbound

This paper cites Decoding on Graphs: Faithful and Sound Reasoning on Knowledge Graphs through Generation of Well-Formed Chains.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Decoding on Graphs: Faithful and Sound Reasoning on Knowledge Graphs through Generation of Well-Formed Chains

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T04:48:08.670603Z

Source-reported events for the cited work

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Observation c93faddc-cf9d-4b0a-b0c2-43eb27d01918 · outbound

This paper cites TransE-MTP: A new representation learn- ing method for knowledge graph embedding with multi-translation princi- ples and TransE.Electronics, 13(16):3171, 2024.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies TransE-MTP: A new representation learn- ing method for knowledge graph embedding with multi-translation princi- ples and TransE.Electronics, 13(16):3171, 2024

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.111453Z

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Observation 7efdc4b2-eef5-4a26-86e7-ba4ce73d8635 · outbound

This paper cites Dual Reason- ing: A GNN-LLM Collaborative Framework for Knowledge Graph Question Answering.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Dual Reason- ing: A GNN-LLM Collaborative Framework for Knowledge Graph Question Answering

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.102780Z

Source-reported events for the cited work

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Observation 0a091a61-7fc0-42bb-87b8-697f422573e8 · outbound

This paper cites K-BERT: enabling language representation with knowl- edge graph.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies K-BERT: enabling language representation with knowl- edge graph

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.094274Z

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Observation bc272e87-0bbb-4186-ab94-2e17387b5b68 · outbound

This paper cites Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T04:48:08.680583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fd7e21e-6b72-4624-b4c8-339a94a2dfc0 · outbound

This paper cites Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T04:48:08.683344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3924bce-22fc-40ee-b024-cd118e6b883e · outbound

This paper cites Phi-3 medium: A 14b-parameter language model.https:// github.com/microsoft/phi, 2024.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Phi-3 medium: A 14b-parameter language model.https:// github.com/microsoft/phi, 2024

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.085038Z

Source-reported events for the cited work

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Observation 6f1bc0c6-f67e-414c-a52b-d4a38aedd832 · outbound

This paper cites Corrado, and Jeffrey Dean.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Corrado, and Jeffrey Dean

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.076568Z

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Observation c27fe78b-fdcc-4bda-9896-bc90db86e77e · outbound

This paper cites Dbrx: An open-source mixture-of-experts language model.https://github.com/databricks/DBRX, 2024.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Dbrx: An open-source mixture-of-experts language model.https://github.com/databricks/DBRX, 2024

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.068980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5cf7bf6c-a960-429a-b9b8-bdf516bbe4b3 · outbound

This paper cites Nemotron-4: A 340b-parameter open source language model.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Nemotron-4: A 340b-parameter open source language model

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.060991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 109002d8-fdf3-439d-b534-760485afbb21 · outbound

This paper cites an unresolved cited work.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:48:09.052875Z

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Observation e64d9027-7c48-4194-828b-8d256030c36a · outbound

This paper cites Unifying Large Language Models and Knowledge Graphs: A Roadmap.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Unifying Large Language Models and Knowledge Graphs: A Roadmap

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T04:48:08.697352Z

Source-reported events for the cited work

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Observation d72bcec4-ccb7-4d67-ad38-720ebf224c4e · outbound

This paper cites Unifying large language models and knowledge graphs: A roadmap.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Unifying large language models and knowledge graphs: A roadmap

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T04:48:08.699902Z

Source-reported events for the cited work

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Observation 82fd05fa-5969-4cac-aa15-2d64e53bb16d · outbound

This paper cites Knowl- edge graphs: Opportunities and challenges.Artificial Intelligence Review, 56(11):13071–13102, 2023.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Knowl- edge graphs: Opportunities and challenges.Artificial Intelligence Review, 56(11):13071–13102, 2023

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.038183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f3dff939-c523-44fa-865a-ef28117da9ac · outbound

This paper cites GloVe: Global vectors for word representation.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies GloVe: Global vectors for word representation

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.029134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ee5f9cee-872e-4b4a-a7df-cbed4a86b9b5 · outbound

This paper cites Peters, M.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Peters, M

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.020687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 44861c87-24b3-4edd-85da-87a6e1f589d4 · outbound

This paper cites an unresolved cited work.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:48:09.012618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fe6b0c74-052d-4940-a0f3-f50a3c4bcda5 · outbound

This paper cites Ad-hoc object retrieval in the web of data.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Ad-hoc object retrieval in the web of data

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:09.004512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2c3f2c34-831a-4690-8597-543f90479918 · outbound

This paper cites Language models are unsupervised multitask learners.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Language models are unsupervised multitask learners

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:08.996421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1696ace2-46ee-4728-96bc-57650ea3e6f9 · outbound

This paper cites an unresolved cited work.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Unresolved cited work

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T04:48:08.716882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4576d610-e9b5-4505-bb29-ae8072221e68 · outbound

This paper cites You CAN teach an old dog new tricks! on training knowledge graph embeddings.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies You CAN teach an old dog new tricks! on training knowledge graph embeddings

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T04:48:08.719174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7eb9323a-f9d5-42c8-86e5-16c22003da75 · outbound

This paper cites Synthesis Lectures on Data, Semantics, and Knowledge.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Synthesis Lectures on Data, Semantics, and Knowledge

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:08.971793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1811f8dc-89cf-42d0-9143-d7d21176fec2 · outbound

This paper cites Neural entity linking: A survey of models based on deep learning.Semantic Web, 13(3):527–570, 2022.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Neural entity linking: A survey of models based on deep learning.Semantic Web, 13(3):527–570, 2022

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:08.960517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 08d2ab57-ca2f-4df4-9fc1-6eb0824a8327 · outbound

This paper cites Conceptnet 5.5: An open multilingual graph of general knowledge.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Conceptnet 5.5: An open multilingual graph of general knowledge

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:08.950090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 547edd57-d415-487d-bd46-c640482337ed · outbound

This paper cites Ernie: Enhanced representation through knowledge integration.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Ernie: Enhanced representation through knowledge integration

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:08.941843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b8a0663d-56b0-4706-bd2f-e4f14432163e · outbound

This paper cites LaMDA: Language Models for Dialog Applications.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies LaMDA: Language Models for Dialog Applications

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T04:48:08.730814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b91c6eaa-c539-427f-ab01-61537db3d731 · outbound

This paper cites Knowledge graph validation by integrating llms and human-in-the-loop.In- formation Processing & Management, 62(5):104145, 2025.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Knowledge graph validation by integrating llms and human-in-the-loop.In- formation Processing & Management, 62(5):104145, 2025

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:08.933456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f6493bae-fefc-424e-a2c1-64df748d1709 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:08.924642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dc98b0a4-14bf-4b29-91a1-eea9959bfa67 · outbound

This paper cites Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T04:48:08.738187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb4ff725-8028-46c9-8763-1a6b0196a0d0 · outbound

This paper cites A survey on knowledge graph embeddings for link prediction.Symmetry, 13(3):485, 2021.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies A survey on knowledge graph embeddings for link prediction.Symmetry, 13(3):485, 2021

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T04:48:08.741282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d10c2085-9ac2-4649-83bf-655c4b81f38d · outbound

This paper cites Mindmap: Prompting large language models with knowledge graphs for graph-of- thoughtreasoning.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Mindmap: Prompting large language models with knowledge graphs for graph-of- thoughtreasoning

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:08.910924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 46598aef-03a5-4294-95e3-08baca7a0333 · outbound

This paper cites Fact-aware generation in large language models.https://example.org/yang2024factaware, 2024.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Fact-aware generation in large language models.https://example.org/yang2024factaware, 2024

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:08.903459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bb493e28-6b91-41bf-919f-de42ed77ffdf · outbound

This paper cites Toward better drug discovery with knowledge graph.Current opinion in structural biology, 72:114–126, 2022.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Toward better drug discovery with knowledge graph.Current opinion in structural biology, 72:114–126, 2022

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:08.896260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 02f4f48c-9d9f-42da-af9c-3214fa69587b · outbound

This paper cites Kg-enhanced reasoning in large language models.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Kg-enhanced reasoning in large language models

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:08.888982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8a8dff96-958d-4d8b-b619-5ae5e9d0cd7f · outbound

This paper cites Making Large Language Models Perform Better in Knowledge Graph Completion.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Making Large Language Models Perform Better in Knowledge Graph Completion

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T04:48:08.753054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52b0853b-ac57-49f4-97ad-de306d971d7b · outbound

This paper cites Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs

Reference 66

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:48:08.810325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eaaf5c93-f681-4d20-9ef6-153826259e24 · outbound

This paper cites A Survey of Large Language Models.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies A Survey of Large Language Models

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T04:48:08.757887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed0571ef-513d-4330-9097-a8574f4a39f2 · outbound

This paper cites A survey of knowl- edge graph construction using machine learning.Computer Modeling in Engineering & Sciences, 139(1):225–257, 2024.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies A survey of knowl- edge graph construction using machine learning.Computer Modeling in Engineering & Sciences, 139(1):225–257, 2024

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:48:08.880514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7d2d828b-e0b5-4fe4-940e-eeee0b4a6c6f · outbound

This paper cites LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T04:48:08.762913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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