Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T05:46:43.606377Z
Paper Citation Record · LEDGER
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems
As of 17 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2412.17245.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
58 of 58 outbound references displayed
- verified exact0
- verified fuzzy42
- unresolved14
- parse uncertain0
- malformed identifier1
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ebdacd8c-4b8c-4a76-8f2c-c99fac8edcb2 · outbound
This paper cites an unresolved cited work.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:46:44.619385Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3392f2e0-b604-425b-b53a-acec3abbc161 · outbound
This paper cites C., and Lang, K.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems C., and Lang, K
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:44.605392Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f2dc06c6-06c9-4617-920b-d4eaf424d5a7 · outbound
This paper cites Frappe: Understanding the Usage and Perception of Mobile App Recommendations In-The-Wild.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems Frappe: Understanding the Usage and Perception of Mobile App Recommendations In-The-Wild
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:46:43.357043Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation efbd077a-c900-4aba-a914-4b3fc626150a · outbound
This paper cites an unresolved cited work.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:46:44.591152Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5310ccf3-d343-4975-8b7d-a69b136a7fca · outbound
This paper cites D., Guillaume, J.-L., Lambiotte, R., and Lefebvre, E.Fast unfolding of communities in large networks.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems D., Guillaume, J.-L., Lambiotte, R., and Lefebvre, E.Fast unfolding of communities in large networks
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:44.577812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b7eff39c-9ca3-4e0c-b9fc-d59a737156f3 · outbound
This paper cites Recommender systems survey.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems Recommender systems survey
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:44.564164Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a8dc7e1d-75c9-4153-a116-1cb58dc35c3c · outbound
This paper cites Scikit-network: Graph analysis in python.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems Scikit-network: Graph analysis in python
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:44.548101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7c691cf1-eea6-45dd-bed9-84f4fa0ba3d2 · outbound
This paper cites Maximizing Modularity is hard.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems Maximizing Modularity is hard
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:46:43.381499Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c46b1a26-2352-4a05-aa67-1f5b0c5a39de · outbound
This paper cites B., Anderson, G., Corrado, G.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems B., Anderson, G., Corrado, G
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:44.533605Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 29b16d6c-40e9-4003-9c2c-dd66a14dc855 · outbound
This paper cites Adaptive factorization network: Learning adaptive-order feature interactions.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems Adaptive factorization network: Learning adaptive-order feature interactions
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:44.517918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f644082a-e9da-4f2e-8412-40bdb1c9fb7e · outbound
This paper cites A., and Leskovec, J.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems A., and Leskovec, J
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:44.503275Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 407076e8-5786-44fc-b6b8-aeb82e72f89a · outbound
This paper cites H., and Cheng, D.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems H., and Cheng, D
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:44.488671Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4952e827-5f89-4efb-b071-ff1b64cab7a6 · outbound
This paper cites N., and Barahona, M.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems N., and Barahona, M
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:44.474955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d9d47959-cd35-45c7-b505-80489f718e17 · outbound
This paper cites an unresolved cited work.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:46:44.458848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 406fbb75-555a-41e5-96bd-b58665c5ddf6 · outbound
This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems From Local to Global: A Graph RAG Approach to Query-Focused Summarization
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:46:43.412341Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b36f7eb7-1b26-40a3-a1b3-91c43c262953 · outbound
This paper cites E., Weichert, F., and Leskovec, J.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems E., Weichert, F., and Leskovec, J
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:44.443997Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c3e4d9e7-35a9-402f-b882-7f5180048fc3 · outbound
This paper cites A survey of graph neural networks for recommender systems: Challenges, methods, and directions.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems A survey of graph neural networks for recommender systems: Challenges, methods, and directions
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:44.428675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c60157d1-46b0-4e2b-8a62-fd7cf24e0eb2 · outbound
This paper cites Learning image and user features for recommendation in social networks.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems Learning image and user features for recommendation in social networks
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:44.413214Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 28167539-f7ab-41e4-a95c-3f9bfcef8e9b · outbound
This paper cites Learning to Collide: Recommendation System Model Compression with Learned Hash Functions.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems Learning to Collide: Recommendation System Model Compression with Learned Hash Functions
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:46:43.430439Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 710cb5da-b6f3-4e4d-9fdc-e17be89e108e · outbound
This paper cites S., Riley, P.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems S., Riley, P
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:44.398024Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 29fb04f7-f125-4d64-95c3-8a7daff6576a · outbound
This paper cites DeepFM: A Factorization-Machine based Neural Network for CTR Prediction.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:46:43.440761Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 43cc0795-2af8-4fb6-b8e5-6cb84edea3f9 · outbound
This paper cites V., Shah, N., and Zhao, T.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems V., Shah, N., and Zhao, T
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:44.385241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1117e3d4-e718-471e-8321-342ccdf51c51 · outbound
This paper cites M., Cot- tel, B., Hazelwood, K.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems M., Cot- tel, B., Hazelwood, K
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:44.370142Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 645e76e7-1e24-4b45-a95d-62765a91f77a · outbound
This paper cites MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:46:43.454778Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f425effe-dabd-4e94-9f68-6a39f161e9d9 · outbound
This paper cites M., Konstan, J.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems M., Konstan, J
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:44.355101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c8975f83-67b7-4d07-8bad-de22fbfd26ef · outbound
This paper cites In WWW (2016).
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems In WWW (2016)
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:44.340105Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4c2163fa-ed26-4c8a-837d-b28de5f299ad · outbound
This paper cites In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (2020).
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (2020)
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:44.325295Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 560b5ac4-a3c2-4503-a06a-8fe86c35bff9 · outbound
This paper cites Neural collaborative filtering, 2017.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems Neural collaborative filtering, 2017
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:44.310720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8b75bc63-e262-46ce-bcb5-20cbb2a577d9 · outbound
This paper cites Collaborative filtering for implicit feedback datasets.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems Collaborative filtering for implicit feedback datasets
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:44.295947Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 82730bcc-ea4e-4089-b0d6-c9bf652d6d2e · outbound
This paper cites How does message passing improve collaborative filtering? In NeurIPS (2024).
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems How does message passing improve collaborative filtering? In NeurIPS (2024)
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:44.280885Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6c4da2a1-821d-4bda-8d62-37c276f5a4ae · outbound
This paper cites Z., Y ao, T., Yi, X., Chen, T.-L., Hong, L., and Chi, E.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems Z., Y ao, T., Yi, X., Chen, T.-L., Hong, L., and Chi, E
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:44.264111Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4a1012e1-0904-4cbe-bc1e-0f2b8909319c · outbound
This paper cites Adam: A Method for Stochastic Optimization.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems Adam: A Method for Stochastic Optimization
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:46:43.490851Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a152515-13eb-4ae7-873f-cc609b7fe906 · outbound
This paper cites N., and Welling, M.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems N., and Welling, M
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:44.249253Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cdb874a7-8f29-41c4-af47-aa29f4beced5 · outbound
This paper cites M., and Volinsky, C.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems M., and Volinsky, C
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:44.234162Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d8de7bfd-e3d4-4684-9210-4066e77b67a8 · outbound
This paper cites Laplacian Dynamics and Multiscale Modular Structure in Networks.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems Laplacian Dynamics and Multiscale Modular Structure in Networks
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:46:43.504790Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4e393e03-5383-4f7e-9985-99d4e1ad4627 · outbound
This paper cites In SIGIR (2024).
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems In SIGIR (2024)
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:44.219237Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c2dcf0cd-c7d4-4771-af63-7f9e37cfde3f · outbound
This paper cites ArXiv (2022).
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems ArXiv (2022)
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:44.103532Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6e9d85f5-e85c-466c-bfcd-99844b334235 · outbound
This paper cites Deep Learning Training in Facebook Data Centers: Design of Scale-up and Scale-out Systems.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems Deep Learning Training in Facebook Data Centers: Design of Scale-up and Scale-out Systems
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:46:43.519106Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9ab22b6b-c5d5-4292-84ba-b7318c71debf · outbound
This paper cites Deep Learning Recommendation Model for Personalization and Recommendation Systems.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems Deep Learning Recommendation Model for Personalization and Recommendation Systems
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:46:43.523899Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4eddc645-9f5f-4bcb-80d4-29487f06c566 · outbound
This paper cites an unresolved cited work.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems Unresolved cited work
Reference 40
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:46:44.088675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 87cdb713-1a25-42ab-8f67-8505373cbf9a · outbound
This paper cites I., and Weiss, Y.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems I., and Weiss, Y
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:44.073072Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8707ba64-8966-4466-99b4-cb5e7e0dd119 · outbound
This paper cites Graph neural networks exponentially lose expressive power for node classification.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems Graph neural networks exponentially lose expressive power for node classification
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:44.057581Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d3a2c1c7-0fd7-4e37-89f6-208b45acea33 · outbound
This paper cites Bpr: Bayesian personalized ranking from implicit feedback.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems Bpr: Bayesian personalized ranking from implicit feedback
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:44.042066Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 318f463c-88d9-43d1-b742-891226b4a76e · outbound
This paper cites T.Maps of random walks on complex networks reveal community structure.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems T.Maps of random walks on complex networks reveal community structure
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:44.026698Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ce7b365a-ae15-4597-8bc7-e73a0d226ffa · outbound
This paper cites Improving Out-of-Vocabulary Handling in Recommendation Systems.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems Improving Out-of-Vocabulary Handling in Recommendation Systems
Reference 45
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-11T05:46:43.651988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 08109aa2-174b-4b7f-b1b3-fb9bff7f4690 · outbound
This paper cites Graph attention networks.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems Graph attention networks
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:44.010625Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 99a043b3-ad58-44ec-aa6c-804ffa1b2bf4 · outbound
This paper cites Towards representation alignment and uniformity in collaborative filtering.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems Towards representation alignment and uniformity in collaborative filtering
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:43.995857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 86b330a7-beeb-45fb-a892-fb062251a68b · outbound
This paper cites Z., Jain, S., Lin, D., Hong, L., and Chi, E.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems Z., Jain, S., Lin, D., Hong, L., and Chi, E
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:43.978405Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation dbc80dbc-4d6d-4129-81e1-4f7018fe0b8e · outbound
This paper cites In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (2019).
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (2019)
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:43.961871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9ff157f4-9566-416a-b274-535a17e8ef98 · outbound
This paper cites Q., Dasgupta, A., Attenberg, J., Langford, J., and Smola, A.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems Q., Dasgupta, A., Attenberg, J., Langford, J., and Smola, A
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:43.945956Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b0506ccb-f6f4-41a6-b122-5e7422763f22 · outbound
This paper cites Demystifying oversmoothing in attention-based graph neural networks.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems Demystifying oversmoothing in attention-based graph neural networks
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:43.930582Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 39dffac3-e552-4c8c-a90f-415106ba800e · outbound
This paper cites In ICLR (2023).
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems In ICLR (2023)
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:43.915329Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ce99f6ee-48e8-4b4c-a3f3-c42b0e9643b7 · outbound
This paper cites In 2022 IEEE International Conference on Data Mining (ICDM) (2022), pp.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems In 2022 IEEE International Conference on Data Mining (ICDM) (2022), pp
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:43.897578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 53c512af-f16d-4c3b-9b7d-f9818b565868 · outbound
This paper cites How powerful are graph neural networks? In ICLR (2019).
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems How powerful are graph neural networks? In ICLR (2019)
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:43.879720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 246be617-76ef-49f0-861b-4b4602b16b7c · outbound
This paper cites I., Tejani, A., Gupta, A., Myana, P.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems I., Tejani, A., Gupta, A., Myana, P
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:43.865306Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7c79bcce-0ad8-4c4c-b064-48e2035e162b · outbound
This paper cites Graph-less neural networks: Teach- ing old mlps new tricks via distillation.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems Graph-less neural networks: Teach- ing old mlps new tricks via distillation
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:43.851780Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ff050a8a-5ff7-4cd6-a93b-f9042a1f0535 · outbound
This paper cites Deep learning based recommender system: A survey and new perspectives.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems Deep learning based recommender system: A survey and new perspectives
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:46:43.836562Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f33328aa-6a48-46fe-abf7-55286f27f59e · outbound
This paper cites Learning from graphs beyond message passing neural networks.
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems Learning from graphs beyond message passing neural networks
Reference 58
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-11T05:46:43.820400Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.