Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T11:52:33.660149Z
Paper Citation Record · LEDGER
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs
As of 16 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:1908.08169.
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
60 of 60 outbound references displayed
- verified exact1
- verified fuzzy49
- unresolved10
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation fb954a90-6e92-4659-b2fe-1dbd4c255e67 · outbound
This paper cites These algorithms rely on a sufficient number of labeled nodes provided to ensure desirable clas- sification accuracy.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs These algorithms rely on a sufficient number of labeled nodes provided to ensure desirable clas- sification accuracy
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.695246Z
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 c0458d1b-f8cb-4fb6-b390-a5b62e74911d · outbound
This paper cites an unresolved cited work.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T11:52:34.679831Z
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 f4925bf1-306f-47b3-8f46-597a5e2578e8 · outbound
This paper cites This offers an advantage that the graph embedding network and the discriminator can collaborate with each other to mutually strengthen their performance.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs This offers an advantage that the graph embedding network and the discriminator can collaborate with each other to mutually strengthen their performance
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.665053Z
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 d02a1d78-bc54-4cd9-be95-1a5e2e5006b8 · outbound
This paper cites The rest of this article is organized as follows.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs The rest of this article is organized as follows
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.649482Z
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 406d9ded-26da-4997-809e-8ab16e60ca14 · outbound
This paper cites an unresolved cited work.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T11:52:34.633197Z
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 4b8539ab-d865-497f-8e32-a4795a4fa621 · outbound
This paper cites an unresolved cited work.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T11:52:34.617939Z
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 c724f5d6-37e6-4d62-9af5-f8d4f0ff57de · outbound
This paper cites an unresolved cited work.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T11:52:34.603377Z
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 359d437e-a67c-43cc-b67f-08c35ee20e86 · outbound
This paper cites ANRMAB improves AGE by dynamically adjusting the weights of different strategies based on the MAB reward.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs ANRMAB improves AGE by dynamically adjusting the weights of different strategies based on the MAB reward
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.587946Z
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 07bcb08e-2051-4e54-99f4-948c51707056 · outbound
This paper cites This method is used to evaluate the advantages of GNN-based AL methods over traditional graph-based AL methods.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs This method is used to evaluate the advantages of GNN-based AL methods over traditional graph-based AL methods
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.572318Z
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 e373021c-6ea0-404c-acc2-556719ba2fe6 · outbound
This paper cites To assess the importance of different aspects of SEAL, we also compare with four variants of SEAL via ablation studies.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs To assess the importance of different aspects of SEAL, we also compare with four variants of SEAL via ablation studies
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.558138Z
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 28338a9e-2bbf-4f77-b8c4-fd0eb896e2c5 · outbound
This paper cites Specifically, it changes G(·)’s loss function in (5) as J G = JGCN.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Specifically, it changes G(·)’s loss function in (5) as J G = JGCN
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.543314Z
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 88ce17c4-3b68-4f9a-ac83-34a8694206c1 · outbound
This paper cites an unresolved cited work.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T11:52:34.528571Z
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 d7782646-dd4d-4bd6-9700-5721019c3c69 · outbound
This paper cites It is equivalent to setting α a s0i n( 8 ) , while other parameters remain the same as with SEAL.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs It is equivalent to setting α a s0i n( 8 ) , while other parameters remain the same as with SEAL
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.514095Z
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 f018e1ff-1647-4f01-9f5a-1328aef2f38c · outbound
This paper cites This is equiv- alent to setting δ to 1 in (6) and (7).
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs This is equiv- alent to setting δ to 1 in (6) and (7)
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.499418Z
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 9c5c21bb-d1a0-43af-8808-10b5754c5e3b · outbound
This paper cites Semi-supervised classification with graph convolutional networks,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Semi-supervised classification with graph convolutional networks,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.484324Z
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 47561846-303d-4ca6-8828-b41a42d2d86a · outbound
This paper cites Active learning with extremely sparse labeled examples,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Active learning with extremely sparse labeled examples,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.468504Z
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 833560a3-f0f6-406b-9fbe-f4df8435db4b · outbound
This paper cites Learning and inference with constraints,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Learning and inference with constraints,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.454294Z
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 4c4c2ff3-b3b6-41da-8917-b58eaf32dc1b · outbound
This paper cites Heterogeneous uncertainty sampling for supervised learning,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Heterogeneous uncertainty sampling for supervised learning,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.439437Z
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 b6849d29-b05a-4f95-8d3a-58b979e4f9b9 · outbound
This paper cites Toward optimal active learning through monte carlo estimation of error reduction,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Toward optimal active learning through monte carlo estimation of error reduction,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.424259Z
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 5e352f69-bc6a-40ff-840d-8125d7226b9c · outbound
This paper cites Query by committee,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Query by committee,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.407978Z
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 a2f5fe25-ccad-4d1a-802a-d2d7dc3777b6 · outbound
This paper cites Employing EM and pool- based active learning for text classification,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Employing EM and pool- based active learning for text classification,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.392749Z
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 f3728677-3782-42c9-a98b-2880d0ec27d7 · outbound
This paper cites A sequential algorithm for training text classifiers,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs A sequential algorithm for training text classifiers,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.377555Z
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 a788b08c-6ba5-4920-b451-afa8fa00e186 · outbound
This paper cites A variance minimization criterion to active learning on graphs,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs A variance minimization criterion to active learning on graphs,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.362777Z
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 b978ed4d-6cc8-4038-adab-270ccf0d6627 · outbound
This paper cites Towards active learning on graphs: An error bound minimization approach,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Towards active learning on graphs: An error bound minimization approach,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.347427Z
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 dfd34874-5350-4113-a945-6d456a0a9432 · outbound
This paper cites σ -optimality for active learning on Gaussian random fields,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs σ -optimality for active learning on Gaussian random fields,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.332430Z
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 ae779cce-3687-4752-9517-39585cefa959 · outbound
This paper cites Active learning for networked data,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Active learning for networked data,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.317807Z
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 e8ef8324-478f-49d1-8a34-6a315be64bb4 · outbound
This paper cites Active class discovery and learning for networked data,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Active class discovery and learning for networked data,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.302505Z
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 18403ef5-d1dd-4a95-afbf-21d7ddb82fa5 · outbound
This paper cites Active sampling for graph-aware classification,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Active sampling for graph-aware classification,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.287561Z
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 09343d5e-bf7c-4747-860a-07b03df28d03 · outbound
This paper cites Graph Attention Networks.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Graph Attention Networks
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:52:33.512729Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d8972f7b-4317-4f32-9fae-2982a1f86942 · outbound
This paper cites Deep attributed net- work embedding by preserving structure and attribute information,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Deep attributed net- work embedding by preserving structure and attribute information,
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:52:33.517963Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c467ba33-0fbc-45dd-b512-0e0520405af4 · outbound
This paper cites Link-based classification,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Link-based classification,
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.272328Z
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 2cd624aa-d28c-4dee-8acf-347abce6bc91 · outbound
This paper cites Deepwalk: Online learning of social representations,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Deepwalk: Online learning of social representations,
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.256290Z
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 57c93329-0e8a-477c-a049-a54990b519e4 · outbound
This paper cites Active Learning for Graph Embedding.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Active Learning for Graph Embedding
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:52:33.531667Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 731dc4bc-d662-46e2-960b-e8e23f1df27b · outbound
This paper cites Active discriminative network representation learning,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Active discriminative network representation learning,
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.241696Z
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 91a8b5e9-f59c-421c-a316-0cfbf9130e0d · outbound
This paper cites Multiple-instance active learning,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Multiple-instance active learning,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.226756Z
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 351c811e-7096-4275-8343-8a0c9ca67836 · outbound
This paper cites Scalable active learning for multiclass image classification,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Scalable active learning for multiclass image classification,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.212637Z
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 445116e8-16e1-42b5-9643-e114fac8e55d · outbound
This paper cites Neural networks and the bias/variance dilemma,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Neural networks and the bias/variance dilemma,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.197731Z
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 4c8b090d-6d33-4710-bfe9-8454568aea6c · outbound
This paper cites Information-ba sed objective functions for active data selection,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Information-ba sed objective functions for active data selection,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.183180Z
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 1fb5c2c5-d76b-4535-ad66-fce109a6aac9 · outbound
This paper cites An analysis of active learning strategies for sequence labeling tasks,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs An analysis of active learning strategies for sequence labeling tasks,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.168137Z
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 df001f7e-a17a-42b6-8714-9f69a70579b7 · outbound
This paper cites Selective sampling for example-based word sense disambiguation,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Selective sampling for example-based word sense disambiguation,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.153530Z
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 0bc05efb-14bd-4447-b8ee-9de6988726c2 · outbound
This paper cites Active learning literature survey,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Active learning literature survey,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.138247Z
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 6ec5e54b-50e9-4fd3-b7df-9ce03a170bde · outbound
This paper cites an unresolved cited work.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Unresolved cited work
Reference 42
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T11:52:34.123099Z
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 4825422a-4112-458d-b9d0-cfa08919b23d · outbound
This paper cites Batch mode active learning for networked data,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Batch mode active learning for networked data,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.107858Z
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 11892b90-79e4-41ef-a028-61b2bb5d0936 · outbound
This paper cites Active Semi-Supervised Learning using Submodular Functions.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Active Semi-Supervised Learning using Submodular Functions
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T11:52:33.723605Z
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 9f986f3a-5d94-45fb-9296-700401dea1b0 · outbound
This paper cites Label selection on graphs,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Label selection on graphs,
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.093474Z
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 d0529efe-8fc4-423b-b562-5892943fc663 · outbound
This paper cites Graph-based active learning based on label propagation,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Graph-based active learning based on label propagation,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.078264Z
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 a5ad0ce8-75cf-4c33-b58a-8d6dda95bc8e · outbound
This paper cites A scalable algorithm for graph- based active learning,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs A scalable algorithm for graph- based active learning,
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.062827Z
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 c25a2e6c-a88c-4bc9-8d10-5f706595bd94 · outbound
This paper cites Combining active learning and semi-supervised learning using Gau ssian fields and harmonic functions,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Combining active learning and semi-supervised learning using Gau ssian fields and harmonic functions,
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.047688Z
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 7146093b-fc56-486d-9cda-d8b877dfbd60 · outbound
This paper cites Data-adaptive active sampling for efficient graph-cognizant classification,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Data-adaptive active sampling for efficient graph-cognizant classification,
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.030697Z
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 95b430c1-5204-4406-8641-376097787cb3 · outbound
This paper cites Combining link and content for col- lective active learning,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Combining link and content for col- lective active learning,
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:34.015094Z
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 e26d3663-cd68-414c-8838-b12bec7aad41 · outbound
This paper cites A survey on instance selection for active learning,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs A survey on instance selection for active learning,
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:33.999464Z
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 b540317c-421a-41e1-a3c0-546498a2eb7c · outbound
This paper cites Generative adversarial nets,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Generative adversarial nets,
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:33.984016Z
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 645d5b69-87a2-476f-af45-af1fe17f4ff5 · outbound
This paper cites Adversarial active learning for sequences labeling and generation,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Adversarial active learning for sequences labeling and generation,
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:33.969078Z
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 9eacc154-d660-429f-ba61-ffb2408f14ee · outbound
This paper cites V ariational adversarial active learning,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs V ariational adversarial active learning,
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:33.953653Z
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 aeb94cf0-bfac-4392-8e00-7cf97bd4fd51 · outbound
This paper cites Improved techniques for training GANs,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Improved techniques for training GANs,
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:33.936785Z
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 2b5a72d1-d11c-4027-9d16-f2799f09513d · outbound
This paper cites Semi- supervised learning based on generative adversarial network: A com- parison between good GAN and bad GAN approach,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Semi- supervised learning based on generative adversarial network: A com- parison between good GAN and bad GAN approach,
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:33.921771Z
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 ff3af24a-aef0-43ad-a628-965aecc1716a · outbound
This paper cites Towards Principled Unsupervised Learning.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Towards Principled Unsupervised Learning
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:52:33.645310Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3631b617-936c-4424-87be-a4ab29832082 · outbound
This paper cites Good semi-supervised learning that requires a bad GAN,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Good semi-supervised learning that requires a bad GAN,
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:33.906045Z
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 41788fda-253c-422c-a2e8-75635ad4da49 · outbound
This paper cites Collective classification in network data,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Collective classification in network data,
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:33.890663Z
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 ddd60a4f-dc8c-4827-aac6-df1dd7614b9f · outbound
This paper cites Attributed network embedding via subspace discovery,.
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Attributed network embedding via subspace discovery,
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:52:33.875077Z
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.