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Paper Citation Record · LEDGER

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation

As of 15 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2505.24172.

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

pith.paper-citation-record.v1
2505.24172 v1

Coverage vector

measured 59 of 59 reference resolution

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measured 59 of 59 standing notices

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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

59 of 59 outbound references displayed

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External citation measurements

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Outbound references

Observation 637ceaff-1efb-4ac6-8015-fecec308b708 · outbound

This paper cites Item-based collabora- tive filtering recommendation algorithms,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Item-based collabora- tive filtering recommendation algorithms,

Reference 1

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Observation d8504c2c-84fe-4097-a169-882dccd7877e · outbound

This paper cites Matrix factorization techniques for recommender systems,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Matrix factorization techniques for recommender systems,

Reference 2

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Observation d8059669-5f0c-461d-89db-b6bf3a864b9e · outbound

This paper cites Neural collaborative filtering,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Neural collaborative filtering,

Reference 3

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Observation 8bf28db8-2768-4ee0-a53e-a93689e9b4d3 · outbound

This paper cites A survey of heterogeneous information network analysis,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation A survey of heterogeneous information network analysis,

Reference 4

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Observation e48582b3-2f6c-4c73-a09b-f885246f73fb · outbound

This paper cites A heterogeneous information network based cross domain insurance recommendation system for cold start users,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation A heterogeneous information network based cross domain insurance recommendation system for cold start users,

Reference 5

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Observation 9dbdd899-d02d-4122-b928-0525c4623209 · outbound

This paper cites Metapath- guided heterogeneous graph neural network for intent recommendation,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Metapath- guided heterogeneous graph neural network for intent recommendation,

Reference 6

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Observation 9af1025a-672c-4b2d-9d28-d2fef952ceef · outbound

This paper cites Context- dependent propagating-based video recommendation in multimodal het- erogeneous information networks,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Context- dependent propagating-based video recommendation in multimodal het- erogeneous information networks,

Reference 7

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Observation 53b9cada-5bbc-4b73-96b9-d335b81d4f36 · outbound

This paper cites Graph attention networks,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Graph attention networks,

Reference 8

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Observation ad712f2d-0ffe-429d-8287-65c557ab2f21 · outbound

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

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Semi-Supervised Classification with Graph Convolutional Networks

Reference 9

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Observation a9a0c66f-8d9d-4f39-aeac-89dbcc7e63ac · outbound

This paper cites Graph random neural networks for semi- supervised learning on graphs,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Graph random neural networks for semi- supervised learning on graphs,

Reference 10

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Observation ce794b11-f339-47e2-975e-7dcc37bee496 · outbound

This paper cites Lightgcn: Simplifying and powering graph convolution network for recommenda- tion,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Lightgcn: Simplifying and powering graph convolution network for recommenda- tion,

Reference 11

Resolution
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Observation 2fe01148-503b-4611-8c9e-416b3ac2c8e4 · outbound

This paper cites Neural graph collaborative filtering,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Neural graph collaborative filtering,

Reference 12

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Observation 26ed8446-7bc9-4ccb-8297-28758b30710c · outbound

This paper cites Heterogeneous graph attention network,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Heterogeneous graph attention network,

Reference 13

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This paper cites Self-supervised heterogeneous graph neural network with co-contrastive learning,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Self-supervised heterogeneous graph neural network with co-contrastive learning,

Reference 14

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Observation 4fb144dc-34b2-4596-9c94-79bdf5f87ee1 · outbound

This paper cites Robust heterogeneous graph neural networks against adversarial attacks,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Robust heterogeneous graph neural networks against adversarial attacks,

Reference 15

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Observation c0653d9b-b857-471b-8585-359345fed3f8 · outbound

This paper cites A simple framework for contrastive learning of visual representations,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation A simple framework for contrastive learning of visual representations,

Reference 16

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Observation 2ad41b36-0e7e-4405-8129-08119e34270f · outbound

This paper cites Bootstrap your own latent-a new approach to self-supervised learning,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Bootstrap your own latent-a new approach to self-supervised learning,

Reference 17

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Observation de481d07-a9e7-4cca-9e09-fa5134801fc0 · outbound

This paper cites Heterogeneous graph contrastive learning for recommendation,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Heterogeneous graph contrastive learning for recommendation,

Reference 18

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This paper cites Self- supervised graph learning for recommendation,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Self- supervised graph learning for recommendation,

Reference 19

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Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Representation Learning with Contrastive Predictive Coding

Reference 20

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This paper cites Heterogeneous graph contrastive learning network for personalized micro-video recom- mendation,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Heterogeneous graph contrastive learning network for personalized micro-video recom- mendation,

Reference 21

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Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Heterogeneous informa- tion network embedding for recommendation,

Reference 22

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Observation a77605f4-048e-488f-b7b1-e0bd864cb77a · outbound

This paper cites Social recommendation with self-supervised metagraph informax network,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Social recommendation with self-supervised metagraph informax network,

Reference 23

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Observation 240816a2-b859-478a-82ab-d735e37dfc2d · outbound

This paper cites Are graph augmentations necessary? simple graph contrastive learning for recommendation,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Are graph augmentations necessary? simple graph contrastive learning for recommendation,

Reference 24

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Observation 0e64c245-fe76-4646-b172-3f4753965dd4 · outbound

This paper cites Pathsim: Meta path-based top-k similarity search in heterogeneous information networks,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Pathsim: Meta path-based top-k similarity search in heterogeneous information networks,

Reference 25

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Observation 14ade10d-ea0b-460f-9683-a9f1b5948bcc · outbound

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

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Understanding the difficulty of training deep feedforward neural networks,

Reference 26

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This paper cites Birds of a feather: Homophily in social networks,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Birds of a feather: Homophily in social networks,

Reference 27

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Source-reported events for the cited work

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Observation e0813ca9-9b1b-4a37-ab17-5174ad7425ba · outbound

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

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation BPR: Bayesian Personalized Ranking from Implicit Feedback

Reference 28

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Observation 4515ff88-b97f-429c-8875-e07c6695bb1a · outbound

This paper cites Heterogeneous graph trans- former,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Heterogeneous graph trans- former,

Reference 29

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Observation bce98896-aa95-45d0-80c8-18efde479c89 · outbound

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Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Kgat: Knowledge graph attention network for recommendation,

Reference 30

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Observation c14e2a4d-5e09-4e15-bdd9-be7968e241c7 · outbound

This paper cites Openhgnn: An open source toolkit for heterogeneous graph neural network,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Openhgnn: An open source toolkit for heterogeneous graph neural network,

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation a7411ea3-0926-460a-b5e6-915adcfb92fe · outbound

This paper cites Leveraging meta-path based context for top-n recommendation with a neural co-attention model,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Leveraging meta-path based context for top-n recommendation with a neural co-attention model,

Reference 32

Resolution
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Source-reported events for the cited work

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Observation 21cddae6-8fdb-4c73-9c6c-b3d39e4a6d50 · outbound

This paper cites Robust preference-guided based disentangled graph social rec- ommendation,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Robust preference-guided based disentangled graph social rec- ommendation,

Reference 33

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Source-reported events for the cited work

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Observation 12251469-7e0b-48b5-8b18-21477c3f037d · outbound

This paper cites Visualizing data using t-sne.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Visualizing data using t-sne

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 7df5a08a-1039-4606-ad51-c2e169d1e335 · outbound

This paper cites Understanding contrastive representation learning through alignment and uniformity on the hypersphere,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Understanding contrastive representation learning through alignment and uniformity on the hypersphere,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:38:50.814202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation b175b948-18d0-4611-af29-1742fd07d7bf · outbound

This paper cites Graph neural networks for social recommendation,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Graph neural networks for social recommendation,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:38:50.561561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:38:40.706672Z digest=sha256:2c917e5bbd23a6c9d894b0ebf7875c05c17c039ffca359bbb629ef45c220f638

Observation 0405a278-101b-4aa7-a207-18cbe93d9ecd · outbound

This paper cites Modeling relational data with graph convolutional networks,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Modeling relational data with graph convolutional networks,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:38:50.318201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:38:40.846675Z digest=sha256:83163cb4ddf12786fd59c4fdb4d436d167f21eced51401cd5cc3eab02e5fba27

Observation fe951c8a-c844-4079-bd87-047d1de82204 · outbound

This paper cites Graph-refined convolutional network for multimedia recommendation with implicit feedback,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Graph-refined convolutional network for multimedia recommendation with implicit feedback,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:38:49.977221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:38:40.987685Z digest=sha256:231b870c43a903574f0c2cee1049bb3052bac76648d89d97766d59bfcbdd1e9c

Observation d842c58f-f9fa-41a2-96b3-d4e022154547 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T12:38:41.162588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:38:41.162588Z digest=sha256:44c52d89d9e1d6429f74bb73f0d0ca57ebdee9df4230be430404766944a51655

Observation df8a70f2-bf72-4d57-9ada-9db2c3eb036f · outbound

This paper cites Distributed representations of words and phrases and their composi- tionality,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Distributed representations of words and phrases and their composi- tionality,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:38:49.672715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:38:41.290824Z digest=sha256:9071f5a8705b17506fae2cc6c16bf3ee57c53f35bdb2416099abcd5b77bd08bc

Observation 2a233589-9113-4de3-98d8-f4f2da36d71e · outbound

This paper cites Multi-behavior sequential recommendation with temporal graph transformer,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Multi-behavior sequential recommendation with temporal graph transformer,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:38:49.356379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:38:41.409499Z digest=sha256:d39c6d142278d8cc985c2f9061896ff523b7b3f3abf8d552476f80273ab9f8f6

Observation ead63f0e-6f8a-4298-b674-a7c702cb7fef · outbound

This paper cites News recommendation via multi-interest news sequence modelling,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation News recommendation via multi-interest news sequence modelling,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:38:49.039075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:38:41.537741Z digest=sha256:84aae7457518350f97393e28b18372894643e0ab621a9dd6f3e684a885b9d5f8

Observation a04872ba-0d9c-4c4b-b36f-e1e1c6341519 · outbound

This paper cites Heterogeneous network representation learning: A unified framework with survey and benchmark,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Heterogeneous network representation learning: A unified framework with survey and benchmark,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:38:48.714222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:38:41.663557Z digest=sha256:2303c397d7eb3b0132294c84d94010dde9027514fe0c32a1b1b50e43589371a9

Observation 6378728f-6395-4259-bb0b-c59a7a81b95e · outbound

This paper cites User- context collaboration and tensor factorization for gnn-based social rec- ommendation,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation User- context collaboration and tensor factorization for gnn-based social rec- ommendation,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:38:48.454950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:38:41.836603Z digest=sha256:ef4253602113559960691dc1ee61e1050fabe22e35b70cb9d82ae1ab9fd3982a

Observation 82cefb50-b278-4713-981a-f549f9cd614b · outbound

This paper cites Self-attentive graph convo- lution network with latent group mining and collaborative filtering for personalized recommendation,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Self-attentive graph convo- lution network with latent group mining and collaborative filtering for personalized recommendation,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:38:48.143969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:38:41.975535Z digest=sha256:9cd78195da2e752ad03e6d50e4a59b5d91b5c6801f34332575ee174e4fdf31ca

Observation 294f4093-1210-4cf0-ac2f-c9a29a1642bf · outbound

This paper cites Meta-path based neighbors for behavioral target generalization in sequential recommendation,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Meta-path based neighbors for behavioral target generalization in sequential recommendation,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:38:47.860171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:38:42.131545Z digest=sha256:a40c6d1bef38b15462d48e7ba25ab227fa86bbc34b165fb222ad410eba9d4739

Observation 6400d51c-102c-4ccb-9dac-cb92bd1a8157 · outbound

This paper cites Heterogeneous graph structure learning for graph neural networks,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Heterogeneous graph structure learning for graph neural networks,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:38:47.558210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:38:42.227898Z digest=sha256:4d6d645b4dc4232e605454aca4244d90496a763e310866993ac6e14cf41ba499

Observation d4ac933b-30c5-48ca-a8f8-58df73c17ff7 · outbound

This paper cites Sparse graph attention networks,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Sparse graph attention networks,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:38:47.262004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:38:42.388174Z digest=sha256:4eaad3f22b9f84d578f4c5ae3d149445ca8d95ccf43ec20801340bbed6cc7339

Observation b737d718-fafe-4df5-8773-858178e7c8dd · outbound

This paper cites Hgate: heterogeneous graph attention auto-encoders,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Hgate: heterogeneous graph attention auto-encoders,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:38:47.007631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:38:42.434349Z digest=sha256:e013db296e83097a6aa312d702d01051f1d38379801c39d068761a44a40aac40

Observation b3484a78-ccc6-4914-8924-a70f74d6dee0 · outbound

This paper cites Towards robust neural graph col- laborative filtering via structure denoising and embedding perturbation,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Towards robust neural graph col- laborative filtering via structure denoising and embedding perturbation,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:38:46.705345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:38:42.563401Z digest=sha256:5aff63a9be442fbed0582904fe565243eb57bd27cc7b32ffdbf9c968d85341f6

Observation ac34cc83-9c98-4a56-a912-4767f534beca · outbound

This paper cites Fedrecattack: Model poisoning attack to federated recommendation,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Fedrecattack: Model poisoning attack to federated recommendation,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:38:46.347388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:38:42.696158Z digest=sha256:1104d90a16e16d3abf5552b764c4f3ce9935eac72fc98b57345c65e12d3131f7

Observation e13c2dd5-3c19-4e13-9a2e-ad51ee20d97c · outbound

This paper cites Revisiting graph- based recommender systems from the perspective of variational auto- encoder,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Revisiting graph- based recommender systems from the perspective of variational auto- encoder,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:38:45.990954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:38:42.795705Z digest=sha256:c9d30294432e7f132d3ce60ed02c4caf5fce26e760f355efed0634e4ebb2984c

Observation 86fe7961-12a2-497b-8107-0eaf2e9c061c · outbound

This paper cites Deep matrix factorization with implicit feedback embedding for recommenda- tion system,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Deep matrix factorization with implicit feedback embedding for recommenda- tion system,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:38:45.700138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:38:42.877881Z digest=sha256:e4bb820b7183941b3db484ec02ed55839fc7c10dc279b5af3ed7d7a4f6442fc3

Observation 458916d4-f300-4ad6-b127-94121eff9a6f · outbound

This paper cites Intent-guided heterogeneous graph contrastive learning for recommendation,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Intent-guided heterogeneous graph contrastive learning for recommendation,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:38:45.377934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:38:42.998202Z digest=sha256:b323b25576cba2ffb5c8fed82f0a3ae53db594d9dce5d4e34e9648e930fd21a4

Observation 33f53876-f500-4388-9f43-94ea8da20a98 · outbound

This paper cites Denoising heterogeneous graph pre-training framework for recommendation,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Denoising heterogeneous graph pre-training framework for recommendation,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:38:45.071811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:38:43.096525Z digest=sha256:5eb12893fccaedd32fd311645c4e3343999e4f42f95df8e40a65a37e0b3ecc3a

Observation 3efbad86-58dd-403e-a6ed-0984cad16565 · outbound

This paper cites Generative- contrastive heterogeneous graph neural network,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Generative- contrastive heterogeneous graph neural network,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:38:44.773428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:38:43.190203Z digest=sha256:e1ec2d8bf43371c479670558a49c05ce6eef0f8690d03714b01714177d8ea1ab

Observation 1c36bec2-bc86-4c75-b932-4a72101a1988 · outbound

This paper cites Intent Representation Learning with Large Language Model for Recommendation.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Intent Representation Learning with Large Language Model for Recommendation

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:38:44.176489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:38:43.340576Z digest=sha256:915eb7c2fb7a3ce51165db485d85a59e3786042f4c375e9517c57cc340649d4d

Observation 78c66bae-9ad0-42bd-91fa-14c5b9123320 · outbound

This paper cites Simple yet effective heterogeneous graph contrastive learning for recommendation,.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Simple yet effective heterogeneous graph contrastive learning for recommendation,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:38:44.451280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:38:43.442977Z digest=sha256:c01bd450ec790ba37e6647b5ac3d1d76e58a7769aa71524a5445da9400a27a57

Observation df95c0e9-f28e-4f2c-beb0-445e2e9e6c17 · outbound

This paper cites Towards Distribution Matching between Collaborative and Language Spaces for Generative Recommendation.

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation Towards Distribution Matching between Collaborative and Language Spaces for Generative Recommendation

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:38:43.955640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:38:43.625151Z digest=sha256:26ec21277aaeca57632755a53a97a37bec8eb0b332c407d483b49c3345c0bb8b

Pith citing papers

No inbound Pith citation observations are available.