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Paper Citation Record · LEDGER

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion

As of 19 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2501.04161.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.04161 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:44:33.958897Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

  • verified exact1
  • verified fuzzy24
  • unresolved14
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 67683899-5cc4-4ad2-94e8-d04d1a0c48d0 · outbound

This paper cites Data scarcity in recommendation systems: A survey,.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Data scarcity in recommendation systems: A survey,

Reference 1

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Observation dc9f8e0a-65e6-4531-8b4a-00319294a83d · outbound

This paper cites Grou- plens: An open architecture for collaborative filtering of netnews,.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Grou- plens: An open architecture for collaborative filtering of netnews,

Reference 2

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raw_fallback, observed 2026-08-10T21:44:34.394215Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e20ac1bc-7dd5-4491-a5d0-17d332982186 · outbound

This paper cites Translating embeddings for modeling multi-relational data,.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Translating embeddings for modeling multi-relational data,

Reference 3

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Observation a467a6d8-0429-4a63-b60c-f177dba5a4a7 · outbound

This paper cites Knowledge graph embedding by translating on hyperplanes,.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Knowledge graph embedding by translating on hyperplanes,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 90b0a0b4-7314-46a6-925f-e8692d51433f · outbound

This paper cites Learning entity and relation embeddings for knowledge graph completion,.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Learning entity and relation embeddings for knowledge graph completion,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 0deeb950-52d2-49ab-a018-e0f7388e12a2 · outbound

This paper cites Knowledge graph contrastive learning for recommendation,.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Knowledge graph contrastive learning for recommendation,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e8ca3165-f822-479b-82ea-67a73c2b94d9 · outbound

This paper cites Knowledge graph self- supervised rationalization for recommendation,.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Knowledge graph self- supervised rationalization for recommendation,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 25d27761-41ea-4283-b01c-ee4a8ed1d0be · outbound

This paper cites Kgat: Knowledge graph attention network for recommendation,.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Kgat: Knowledge graph attention network for recommendation,

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2a6354ad-bf45-4c06-bc91-73f7c621c69f · outbound

This paper cites Graph neural networks for rec- ommender system,.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Graph neural networks for rec- ommender system,

Reference 9

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raw_fallback, observed 2026-08-10T21:44:34.324540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ab34be11-0e52-4b40-afe6-298e9cef39ef · outbound

This paper cites Higher-order attribute-enhancing heterogeneous graph neural networks,.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Higher-order attribute-enhancing heterogeneous graph neural networks,

Reference 10

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6692a475-4d50-40ce-808e-a1b8758f01bc · outbound

This paper cites Towards robust graph neural networks for noisy graphs with sparse labels,.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Towards robust graph neural networks for noisy graphs with sparse labels,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8a622224-fc7e-4bf3-a641-51f51533bfd8 · outbound

This paper cites CKAN: Collaborative knowledge-aware attentive network for recommender systems,.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion CKAN: Collaborative knowledge-aware attentive network for recommender systems,

Reference 12

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raw_fallback, observed 2026-08-10T21:44:34.291602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation cb7c9095-f3af-417c-ac51-bc16607af434 · outbound

This paper cites Learning intents behind interactions with knowledge graph for recommendation,.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Learning intents behind interactions with knowledge graph for recommendation,

Reference 13

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raw_fallback, observed 2026-08-10T21:44:34.280176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 710eb67e-0dc8-4391-b06e-9467686d724e · outbound

This paper cites Ups and downs: Modeling the visual evolution of fashion trends with one-class collaborative filtering,.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Ups and downs: Modeling the visual evolution of fashion trends with one-class collaborative filtering,

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:44:33.862237Z digest=sha256:6744ba2304fc1d1af2437022a92aec1ec26124ac4a4005404acba50515ac2a73

Observation 73a42e04-0d5d-4d58-a95f-990d6849743a · outbound

This paper cites Celma, Music Recommendation and Discovery in the Long Tail.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Celma, Music Recommendation and Discovery in the Long Tail

Reference 15

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doi, observed 2026-08-10T21:44:33.996750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation cdfd33ff-ca13-4c45-bad5-90af69800605 · outbound

This paper cites Neural graph collaborative filtering,.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Neural graph collaborative filtering,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T21:44:33.869654Z digest=sha256:3b1b6af90f38d499307d0be770bacb243144150ea9d43c4e996025c4ed447e8d

Observation fc01a94c-56a8-4eba-97d5-92449f39008d · outbound

This paper cites Graph Attention Networks.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Graph Attention Networks

Reference 17

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Observation 56e7bb32-2f64-4e04-bc43-d13f9f6ec40f · outbound

This paper cites Kgcl: A knowledge- enhanced graph contrastive learning framework for session-based rec- ommendation,.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Kgcl: A knowledge- enhanced graph contrastive learning framework for session-based rec- ommendation,

Reference 18

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c7f16d52-6337-417b-9071-aea8b0a4153e · outbound

This paper cites Feature-level deeper self-attention network for sequential recommendation.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Feature-level deeper self-attention network for sequential recommendation

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 9a095652-d191-4237-8583-b7618c2f75a3 · outbound

This paper cites S3-rec: Self-supervised learning for sequential recom- mendation with mutual information maximization,.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion S3-rec: Self-supervised learning for sequential recom- mendation with mutual information maximization,

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:44:33.884950Z digest=sha256:3dd630c3e83927916f8c0dc077332afcb17a5e413ef5356e12195d421de29f72

Observation 93fa3260-1302-47e9-8471-f5bd2a55778d · outbound

This paper cites Parallel recurrent neural network architectures for feature-rich session-based recommen- dations,.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Parallel recurrent neural network architectures for feature-rich session-based recommen- dations,

Reference 21

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:44:33.888365Z digest=sha256:ed5aa38ce3eabb46a387fe99e785a2ef6c2d6b65863e539bf9ad14c272935c81

Observation 53d6e95a-bf80-46e8-a19d-b1eb6958f664 · outbound

This paper cites Icai-sr: Item categorical attribute integrated sequential recommendation,.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Icai-sr: Item categorical attribute integrated sequential recommendation,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T21:44:33.892626Z digest=sha256:d4ae99ac6c353536b4eecadb5e5a34227f6e7c2099043f8512052344440ea1f9

Observation 7de2805a-3d82-43c2-a8a7-3e4c6c389d0b · outbound

This paper cites Decoupled side information fusion for sequential recommendation,.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Decoupled side information fusion for sequential recommendation,

Reference 23

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raw_fallback, observed 2026-08-10T21:44:34.203931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T21:44:33.896002Z digest=sha256:3777b99c35c1aececad10842b9cf5e519139d72626721874b8526cc4cbb76498

Observation b8ef7a0d-d127-4968-9561-1de677e93d56 · outbound

This paper cites Knowledge graph embedding via dynamic mapping matrix,.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Knowledge graph embedding via dynamic mapping matrix,

Reference 24

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raw_fallback, observed 2026-08-10T21:44:34.192750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 65b0e1c2-465d-4f8d-878d-6b0237e429b5 · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 25

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Unavailable: canonical work link unavailable.

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Observation 8d8e37cb-3444-42da-bee4-3646679f7ea2 · outbound

This paper cites P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 89dfb5d8-d4cb-4905-8114-d8981bd769e5 · outbound

This paper cites Graph attention networks,.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Graph attention networks,

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:44:33.910632Z digest=sha256:f85133f453f40efd3f7011a4f2a409e2ca32f5ed5e64286cd225dfd488f0d7a1

Observation 408cb2e2-6b2d-4cfe-ab66-87dd836bf5d6 · outbound

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

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Semi-Supervised Classification with Graph Convolutional Networks

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:44:33.914026Z digest=sha256:1a6b679114e94fa13c7b9d431087522aaec3fcf8ba4b7ecef7488cbc46cf9e4b

Observation 4fdde22e-cb52-4f34-86d6-582f397ecd4e · outbound

This paper cites Inductive representation learning on large graphs,.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Inductive representation learning on large graphs,

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation df9c5153-2ed4-400f-b3c7-bb0bc06f927b · outbound

This paper cites BPR: Bayesian Personalized Ranking from Implicit Feedback.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion BPR: Bayesian Personalized Ranking from Implicit Feedback

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:44:33.921183Z digest=sha256:796ae5573d28b4b6045aacf5e2f9e850067bb2b6bc0b00359cfa53513593ac30

Observation 08fc445c-9b67-4e66-9ff0-75e7ae8a5007 · outbound

This paper cites Fast context-aware recommendations with factorization machines,.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Fast context-aware recommendations with factorization machines,

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-10T21:44:34.165694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 4812bf68-f2ed-4d3e-bd95-bcf2e4da5f63 · outbound

This paper cites Neural factorization machines for sparse predictive analytics,.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Neural factorization machines for sparse predictive analytics,

Reference 32

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raw_fallback, observed 2026-08-10T21:44:34.152761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T21:44:33.929286Z digest=sha256:6b89911932109ef5f5c5d220afca0a71e6da79f7213ebd16458d251499c98e94

Observation 1515a3fa-f22a-45c8-b4ae-12d63cdbe34c · outbound

This paper cites Ripplenet: Propagating user preferences on the knowledge graph for recommender systems,.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Ripplenet: Propagating user preferences on the knowledge graph for recommender systems,

Reference 33

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raw_fallback, observed 2026-08-10T21:44:34.140621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T21:44:33.933425Z digest=sha256:450fb557d67ddffdce721512b16c22a8bfcf8b393f36c8fc3d9a74ad75442b36

Observation 3bc7d47c-c1b4-4966-bd62-1ea864e8d1cf · outbound

This paper cites Graph convolutional matrix completion,.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Graph convolutional matrix completion,

Reference 34

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raw_fallback, observed 2026-08-10T21:44:34.128554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T21:44:33.936832Z digest=sha256:aa5df2b6e47e39f45391e870beda4a3844e1697812cbd2f127a5893174788221

Observation 23b81c98-b6df-469a-937f-de75d2ad96b7 · outbound

This paper cites Knowledge-aware graph neural networks with label smooth- ness regularization for recommender systems,.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Knowledge-aware graph neural networks with label smooth- ness regularization for recommender systems,

Reference 35

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raw_fallback, observed 2026-08-10T21:44:34.116845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T21:44:33.940350Z digest=sha256:cfa5a030d5b2d802c4d5604f577af0bf637aa16c1e2c7a024d5418fe59b81287

Observation 179a02fe-247c-4982-bb42-ae0645b4fbae · outbound

This paper cites Understanding the difficulty of training deep feedforward neural networks,.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Understanding the difficulty of training deep feedforward neural networks,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T21:44:33.943968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 348f1c78-9e51-4f00-ada2-c04b93d272de · outbound

This paper cites Adam: A Method for Stochastic Optimization.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Adam: A Method for Stochastic Optimization

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T21:44:33.947537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:44:33.947537Z digest=sha256:f5a3ce63f7cd98b97b5cb543b13c44b0331a00245f431e9611011b14303440a1

Observation 0161dd46-a0af-4ff2-b91a-a8c1e1e34929 · outbound

This paper cites Rein- forcement knowledge graph reasoning for explainable recommendation,.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Rein- forcement knowledge graph reasoning for explainable recommendation,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:34.098681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e2541be2-b0c7-4177-96d2-955ed3d2a7b7 · outbound

This paper cites Jointly learning explainable rules for recommendation with knowledge graph,.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Jointly learning explainable rules for recommendation with knowledge graph,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:34.087113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation db1e82bb-cc44-4687-b4f6-7405519f2020 · outbound

This paper cites Measuring and relieving the over-smoothing problem for graph neural networks from the topological view,.

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Measuring and relieving the over-smoothing problem for graph neural networks from the topological view,

Reference 40

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Pith citing papers

No inbound Pith citation observations are available.