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Paper Citation Record · LEDGER

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction

As of 20 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 4 inbound Pith citation observations for arXiv:2411.14001.

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

pith.paper-citation-record.v1
2411.14001 v1

Coverage vector

measured 82 of 82 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:43:36.296747Z

measured 86 of 86 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:50:39.156704Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T15:14:47.082462Z

Reference resolution

82 of 82 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6e38ddbe-2ecf-441b-a47e-a9d4a72050b1 · outbound

This paper cites Pathalign: A vision–language model for whole slide images in histopathology.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Pathalign: A vision–language model for whole slide images in histopathology

Reference 1

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Observation 5f11151d-3eb2-4ede-8880-694cf5c40e56 · outbound

This paper cites DER-GCN: Dialogue and Event Relation-Aware Graph Convolutional Neural Network for Multimodal Dialogue Emotion Recognition.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction DER-GCN: Dialogue and Event Relation-Aware Graph Convolutional Neural Network for Multimodal Dialogue Emotion Recognition

Reference 2

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Observation aabf3d59-75c9-4fcd-9baf-65ea68e364cf · outbound

This paper cites A two-stage multimodal emotion recog- nition model based on graph contrastive learning.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction A two-stage multimodal emotion recog- nition model based on graph contrastive learning

Reference 3

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Observation 6990bc2c-895b-4a11-8ba4-a5c7334be332 · outbound

This paper cites MCSFF: Multi-modal Consistency and Specificity Fusion Framework for Entity Alignment.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction MCSFF: Multi-modal Consistency and Specificity Fusion Framework for Entity Alignment

Reference 4

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Observation cb7f8a8f-e1d3-40dc-9979-5443c5912fd8 · outbound

This paper cites Graph Contrastive Learning via Cluster-refined Negative Sampling for Semi-supervised Text Classification.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Graph Contrastive Learning via Cluster-refined Negative Sampling for Semi-supervised Text Classification

Reference 5

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Observation 048c88cd-b390-44bb-aedc-2dea5aa8d883 · outbound

This paper cites Der-gcn: Dialog and event relation-aware graph convolutional neural network for multimodal dialog emotion recognition.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Der-gcn: Dialog and event relation-aware graph convolutional neural network for multimodal dialog emotion recognition

Reference 6

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Source-reported events for the cited work

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Observation 433cf540-1e7f-4344-b41e-cf6d6a5ac74d · outbound

This paper cites Edge-enhanced minimum-margin graph attention network for short text classification.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Edge-enhanced minimum-margin graph attention network for short text classification

Reference 7

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Observation 9fb0240a-37cd-443d-b426-3b1d40c309db · outbound

This paper cites Long-term follow-up of pediatric ms patients starting treat- ment with injectable first-line agents: a multicentre, italian, retrospective, observational study.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Long-term follow-up of pediatric ms patients starting treat- ment with injectable first-line agents: a multicentre, italian, retrospective, observational study

Reference 8

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Source-reported events for the cited work

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Observation 75de3f62-73cc-45c3-b842-f1444abceb8a · outbound

This paper cites Shortest-path kernels on graphs.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Shortest-path kernels on graphs

Reference 9

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Source-reported events for the cited work

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Observation da048f70-ea59-4ae5-8ce2-944085e05231 · outbound

This paper cites Assessing long- term prognosis improvement as a consequence of treatment pattern changes in ms.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Assessing long- term prognosis improvement as a consequence of treatment pattern changes in ms

Reference 10

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Source-reported events for the cited work

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Observation 5b573f5c-6c20-493e-93a8-c8b935d8bc7a · outbound

This paper cites Scaling vision transformers to gigapixel images via hierarchical self-supervised learning.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Scaling vision transformers to gigapixel images via hierarchical self-supervised learning

Reference 11

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Source-reported events for the cited work

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Observation 7bb6fc33-dcca-4a49-8330-8f83075d41c8 · outbound

This paper cites Towards a general-purpose foundation model for computational pathology.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Towards a general-purpose foundation model for computational pathology

Reference 12

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Source-reported events for the cited work

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Observation e6cb2ea3-9bf9-4d9f-b12e-f8191273e2e8 · outbound

This paper cites Graph transfer learning via adversarial domain adaptation with graph convolution.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Graph transfer learning via adversarial domain adaptation with graph convolution

Reference 13

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Source-reported events for the cited work

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Observation 6766a5ce-a87a-411c-ba37-ee8a70e3f33a · outbound

This paper cites Generating hypergraph-based high-order representations of whole-slide histopathological images for survival prediction.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Generating hypergraph-based high-order representations of whole-slide histopathological images for survival prediction

Reference 14

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Source-reported events for the cited work

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Observation 5522c714-fce0-4978-819f-25c597f447d0 · outbound

This paper cites Pathology-and-genomics multimodal transformer for survival outcome prediction.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Pathology-and-genomics multimodal transformer for survival outcome prediction

Reference 15

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Source-reported events for the cited work

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Observation 197e4375-7b45-49f3-b3c8-4bf91cf17bf9 · outbound

This paper cites A closer look at distribution shifts and out- of-distribution generalization on graphs.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction A closer look at distribution shifts and out- of-distribution generalization on graphs

Reference 16

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Source-reported events for the cited work

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Observation 6a21488d-c1a4-470e-ac9e-dd1d2439b111 · outbound

This paper cites Towards open temporal graph neural networks.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Towards open temporal graph neural networks

Reference 17

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Source-reported events for the cited work

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Observation 441f8358-50ad-4c25-81f3-0e57cfa14822 · outbound

This paper cites Chest ct score in covid- 19 patients: correlation with disease severity and short-term prognosis.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Chest ct score in covid- 19 patients: correlation with disease severity and short-term prognosis

Reference 18

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Source-reported events for the cited work

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Observation 8ab8185c-eb21-495f-89bd-4fad9dad4572 · outbound

This paper cites Topology-aware graph pooling networks.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Topology-aware graph pooling networks

Reference 19

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Source-reported events for the cited work

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Observation b68601d4-1acb-4870-91b0-ceda307fab2d · outbound

This paper cites Learning adaptive node embeddings across graphs.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Learning adaptive node embeddings across graphs

Reference 20

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Source-reported events for the cited work

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Observation b470bccc-dad8-4784-bab3-7c05dc5c4501 · outbound

This paper cites Attention-based deep multiple instance learning.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Attention-based deep multiple instance learning

Reference 21

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Observation 98054cc9-2c3d-44aa-a81f-daee88e0d5b1 · outbound

This paper cites Assessing changes in relapse rates in multiple sclerosis.Multiple sclerosis journal, 16(12): 1414–1421, 2010.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Assessing changes in relapse rates in multiple sclerosis.Multiple sclerosis journal, 16(12): 1414–1421, 2010

Reference 22

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Source-reported events for the cited work

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Observation bd73e695-2835-4492-b5a0-a8097472d39f · outbound

This paper cites Transcriptomics-guided slide representation learning in computational pathology.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Transcriptomics-guided slide representation learning in computational pathology

Reference 23

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Source-reported events for the cited work

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Observation 34f5c633-6e79-4903-a1d3-c73c944a2f45 · outbound

This paper cites Model- ing dense multimodal interactions between biological path- ways and histology for survival prediction.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Model- ing dense multimodal interactions between biological path- ways and histology for survival prediction

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f1a59218-ab06-4109-a433-79bdf762a2a1 · outbound

This paper cites Machine learning and deep learning ap- proaches in breast cancer survival prediction using clinical data.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Machine learning and deep learning ap- proaches in breast cancer survival prediction using clinical data

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 2bf52816-560e-4fa4-a343-78a8bb91db51 · outbound

This paper cites Dual-stream multiple instance learning network for whole slide image classifica- tion with self-supervised contrastive learning.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Dual-stream multiple instance learning network for whole slide image classifica- tion with self-supervised contrastive learning

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation dbc83674-1f25-4ed8-816e-4bfa1831eb05 · outbound

This paper cites Dynamic graph repre- sentation with knowledge-aware attention for histopathology whole slide image analysis.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Dynamic graph repre- sentation with knowledge-aware attention for histopathology whole slide image analysis

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 68cf27cb-6ded-4b8f-a42f-a37d640898a2 · outbound

This paper cites Graph cnn for survival analysis on whole slide pathological images.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Graph cnn for survival analysis on whole slide pathological images

Reference 28

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 78bb2897-fa62-4e20-9a1e-2f81f00c91bc · outbound

This paper cites Multi-domain generalized graph meta learning.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Multi-domain generalized graph meta learning

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 6af87ab7-2dde-4b15-991f-d06ef545cf85 · outbound

This paper cites Data-efficient and weakly supervised computational pathology on whole- slide images.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Data-efficient and weakly supervised computational pathology on whole- slide images

Reference 30

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Source-reported events for the cited work

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Observation 4239c641-8e25-48e5-8bd2-7d5633e6d50d · outbound

This paper cites Visual language pre- trained multiple instance zero-shot transfer for histopathol- ogy images.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Visual language pre- trained multiple instance zero-shot transfer for histopathol- ogy images

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f0ad1ec7-eef9-4add-9211-8805ee4a5447 · outbound

This paper cites Source-free progressive graph learning for open-set domain adaptation.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Source-free progressive graph learning for open-set domain adaptation

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-12T15:43:39.028127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation a2ef4817-049b-4b35-b16d-070cd5cafb46 · outbound

This paper cites Active uni- versal domain adaptation.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Active uni- versal domain adaptation

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-12T15:43:38.998953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:35.278379Z digest=sha256:91b438555d157de47173e7a5ca47facbf4a409c8792e45c75087eaebde6de33c

Observation e362ab37-ba77-4232-9717-a85260350710 · outbound

This paper cites Inferring latent domains for unsupervised deep domain adaptation.IEEE Transactions on Pattern Analysis and Machine Intelligence , 43(2):485–498,.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Inferring latent domains for unsupervised deep domain adaptation.IEEE Transactions on Pattern Analysis and Machine Intelligence , 43(2):485–498,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:38.920981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:35.286560Z digest=sha256:89afeab063701de2accf9611a31ffa9cf214e9f0508e42676eee102ca09a589d

Observation 97605a03-0550-413f-b345-3e33130db1f7 · outbound

This paper cites A multi-message passing framework based on heterogeneous graphs in conversational emotion recognition.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction A multi-message passing framework based on heterogeneous graphs in conversational emotion recognition

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:38.810422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:35.296915Z digest=sha256:0fdd1804fa4a0b1d7b67a15a142396282246f586670987b560948f6da322dbe4

Observation f0d76385-c08d-44dc-abbc-29ddb28df40e · outbound

This paper cites Deep imbalanced learning for multimodal emotion recogni- tion in conversations.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Deep imbalanced learning for multimodal emotion recogni- tion in conversations

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:38.722124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:35.308452Z digest=sha256:e2375e847151784e589e8cd7b6da6cf5f3079eaa3b38f0581593c76c5626c507

Observation 57dbaa13-bf77-4d44-9ac9-3180b03d09a4 · outbound

This paper cites Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-12T15:43:35.409688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:43:35.409688Z digest=sha256:7c1f1c516f6cf631c2c56bf25906e05e168453956c06a3c870f74cc406105e79

Observation 6582e723-6c29-4354-8ee6-a9f2d8868567 · outbound

This paper cites Masked graph learning with recurrent alignment for multimodal emotion recognition in conversa- tion.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Masked graph learning with recurrent alignment for multimodal emotion recognition in conversa- tion

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:38.651972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:35.481693Z digest=sha256:bf9e5cd937729380daf64392ae3dade68815cc33ca5745d7de3e927d413bdebd

Observation 65aad2f5-820f-41bf-80e6-737ae6c0fd32 · outbound

This paper cites Co-pilot: Dynamic top-down point cloud with conditional neighborhood aggregation for multi-gigapixel histopathology image representation.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Co-pilot: Dynamic top-down point cloud with conditional neighborhood aggregation for multi-gigapixel histopathology image representation

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:38.627140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:35.540034Z digest=sha256:c931d3ee889dd4cfab3e3d6f9ffa750165cb59b692374c3779bbd74a7c3cbca5

Observation 31eb8733-db81-4280-b755-ead77bf40198 · outbound

This paper cites Dynamic changes and prognostic value of pulmonary congestion by lung ultra- sound in acute and chronic heart failure: a systematic review.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Dynamic changes and prognostic value of pulmonary congestion by lung ultra- sound in acute and chronic heart failure: a systematic review

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:38.606026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:35.568083Z digest=sha256:a9715066ebea511140e7143615fe5bd893de802c55e793b199b9b0a9ae4710b3

Observation cc831006-a069-47d2-8932-229d997b1be5 · outbound

This paper cites Assessing treatment response to oral drugs for multiple sclerosis in real-world setting: a magnims study.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Assessing treatment response to oral drugs for multiple sclerosis in real-world setting: a magnims study

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:38.581470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:35.577209Z digest=sha256:c8b5b4817aef7d1b261017f68fa6aff139409301a234f1763f2bebe2e536307f

Observation 6643e799-5632-4866-aaef-346c4cc9639b · outbound

This paper cites Maximum classifier discrepancy for unsuper- vised domain adaptation.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Maximum classifier discrepancy for unsuper- vised domain adaptation

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:38.468072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:35.585811Z digest=sha256:96182db251c4899da72bd99763df45735a40552b58d9623a723c27e6ea0fb091

Observation bc76cd15-5aae-4acd-9a4c-280e12fd7117 · outbound

This paper cites Transmil: Transformer based 10 correlated multiple instance learning for whole slide image classification.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Transmil: Transformer based 10 correlated multiple instance learning for whole slide image classification

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:38.385306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:35.592648Z digest=sha256:f7731df54c78de8f66bd630e5930a4af405121d1e75053feaf7920ef858742af

Observation a8cf8212-2d92-43ce-90aa-4aae0c1c2aee · outbound

This paper cites Wasser- stein distance guided representation learning for domain adaptation.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Wasser- stein distance guided representation learning for domain adaptation

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:38.282556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:35.599160Z digest=sha256:520fcbdfd8e2764ec6ded316ff8a29ecc2809b4a2db28fef36058d15e1496248

Observation 4528dbe5-9258-45e3-ac5d-a21945459874 · outbound

This paper cites Object detection in medical images based on hierarchical transformer and mask mechanism.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Object detection in medical images based on hierarchical transformer and mask mechanism

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:38.252038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:35.604450Z digest=sha256:03e9f0830f6bb45b1e3eeaa0b902f3f100770ece9d30dee150ff4cf858533040

Observation 5f31d3fd-51d9-4605-841c-81b1472b045b · outbound

This paper cites Conversational emotion recognition studies based on graph convolutional neural networks and a dependent syn- tactic analysis.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Conversational emotion recognition studies based on graph convolutional neural networks and a dependent syn- tactic analysis

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:38.228505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:35.610522Z digest=sha256:95a63fb454ce58c0f549e30e3908775313e639e5f40571eaeabe6fe23e567ce6

Observation ed5eab8d-bcfd-4095-a3c1-ffc5927cdffc · outbound

This paper cites CILF-CIAE: CLIP-driven Image-Language Fusion for Correcting Inverse Age Estimation.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction CILF-CIAE: CLIP-driven Image-Language Fusion for Correcting Inverse Age Estimation

Reference 47

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unresolved
no resolver link, observed 2026-08-12T15:43:35.615768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:43:35.615768Z digest=sha256:2dd6a6d691669948b3f2cca5c82d167833a2806b52385f255ff033f794c3e14e

Observation 04ce9ebb-254a-4321-af92-92b8c4a60553 · outbound

This paper cites Graph infor- mation bottleneck for remote sensing segmentation.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Graph infor- mation bottleneck for remote sensing segmentation

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-12T15:43:35.621340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:43:35.621340Z digest=sha256:d3bfcde69fe59860bad65da90cc09551678fa2842d88d8a1b109b23d32b2fc78

Observation 94049d90-842e-48e4-8f22-11619b85f4ef · outbound

This paper cites Graphunet: Graph make strong encoders for remote sens- ing segmentation.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Graphunet: Graph make strong encoders for remote sens- ing segmentation

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:38.197933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:35.626541Z digest=sha256:c6a365b785d9a396659d5ae671c1d36ba6920d4863f8579ca688172893b679fa

Observation aadc9df9-be6c-44ec-bcd9-dc19eb171cde · outbound

This paper cites Adversarial Representation with Intra-Modal and Inter-Modal Graph Contrastive Learning for Multimodal Emotion Recognition.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Adversarial Representation with Intra-Modal and Inter-Modal Graph Contrastive Learning for Multimodal Emotion Recognition

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-12T15:43:35.633987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:43:35.633987Z digest=sha256:c3d886ae60b17b5d0e8fc14450b97fc79db7af665a9d2c48be019bc29cc8d4df

Observation a7143ec2-54a1-4ba4-b68b-a88a5e2dcbef · outbound

This paper cites A comprehensive survey on multi-modal conversational emotion recognition with deep learning.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction A comprehensive survey on multi-modal conversational emotion recognition with deep learning

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-12T15:43:35.640362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:43:35.640362Z digest=sha256:a26bb77835aa94a9e772628a3dcaee75b9800a26a1930a3ba10cda0ae9f2473f

Observation c2b8198a-e9ed-4989-ae8e-b68d9b669b77 · outbound

This paper cites Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversations.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversations

Reference 52

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unresolved
no resolver link, observed 2026-08-12T15:43:35.646069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:43:35.646069Z digest=sha256:07e58db202796662470e833d0bee0add48cf73a804630c2973dbee81880a8984

Observation e44b00c3-ac5e-4226-9820-187ea55c573c · outbound

This paper cites SpeGCL: Self-supervised Graph Spectrum Contrastive Learning without Positive Samples.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction SpeGCL: Self-supervised Graph Spectrum Contrastive Learning without Positive Samples

Reference 53

Resolution
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no resolver link, observed 2026-08-12T15:43:35.652021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:43:35.652021Z digest=sha256:c5429b98ab460e1d3dad50d920f82f42bdbb884becadff29c89e11dc58e35e1b

Observation 69417949-1995-45b1-a1f2-0cb49ec230e9 · outbound

This paper cites Contrastive Graph Representation Learning with Adversarial Cross-view Reconstruction and Information Bottleneck.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Contrastive Graph Representation Learning with Adversarial Cross-view Reconstruction and Information Bottleneck

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-12T15:43:35.691267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:43:35.691267Z digest=sha256:5d397ba4a8f3291202ccec748ec48a6c2612f70668fd31d1fae3e9d22b369ead

Observation fcc4e751-0641-470a-b309-9a5807250980 · outbound

This paper cites A low-rank matching attention based cross-modal feature fusion method for conversational emotion recogni- tion.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction A low-rank matching attention based cross-modal feature fusion method for conversational emotion recogni- tion

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:38.170262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:35.794471Z digest=sha256:d0cb6543fdf6290948257c2ce048f0ec799750b3eac5eaf52afc044e23ad2d3f

Observation 4bf1a4d3-bb41-4992-9a34-291af778e88b · outbound

This paper cites Adversarial alignment and graph fusion via information bottleneck for multimodal emotion recognition in conversations.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Adversarial alignment and graph fusion via information bottleneck for multimodal emotion recognition in conversations

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:38.134258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:35.861636Z digest=sha256:ebac28435f0f3cf4c907ded8cbd3bbce77677be70c73ef2a9aebaf33a1e9e75d

Observation 6c202212-450a-4af2-b99b-24647341a400 · outbound

This paper cites Revisiting Multi-modal Emotion Learning with Broad State Space Models and Probability-guidance Fusion.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Revisiting Multi-modal Emotion Learning with Broad State Space Models and Probability-guidance Fusion

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-12T15:43:35.886529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:43:35.886529Z digest=sha256:c12388d0d1775b2bb9ae8367577528fb9ffb7119a48e98807bea272eb0b093fc

Observation 5124e37b-ca54-4b22-9d41-f8ae849b3e6e · outbound

This paper cites Masked contrastive graph representation learning for age es- timation.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Masked contrastive graph representation learning for age es- timation

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:38.095111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:35.894443Z digest=sha256:d056e2805eeda8998d1f26d2a3c19b42f156685210da54d30ca629aef67f53c1

Observation f91997c3-851c-4452-9838-9c53c88080af · outbound

This paper cites Clda: Contrastive learning for semi-supervised domain adaptation.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Clda: Contrastive learning for semi-supervised domain adaptation

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:38.038340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:35.900898Z digest=sha256:bbbb2684b00bfb63b0136b0c8e55c9cf5f59d723f006c5792b216eba4ca4d7b7

Observation c8872893-fb33-44f6-8319-53c5548e9a10 · outbound

This paper cites Can we measure long- term treatment effects in multiple sclerosis? Nature Reviews Neurology, 11(3):176–182, 2015.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Can we measure long- term treatment effects in multiple sclerosis? Nature Reviews Neurology, 11(3):176–182, 2015

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:37.999103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:35.908657Z digest=sha256:26333c3d94cb6836eff8bf16165c0aad686319895225c1935001ba7b83fc5e41

Observation b7d5e877-ab4d-4b62-8e75-851e9790e83a · outbound

This paper cites Deep neural network models for computational histopathology: A survey.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Deep neural network models for computational histopathology: A survey

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:37.893012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:35.915304Z digest=sha256:d17bede39273778356aa0109b587e338158eda8d362d27345ae7726a71b54135

Observation b5a90153-a217-4a3d-ae32-163650f9b5a5 · outbound

This paper cites Gppt: Graph pre-training and prompt tuning to generalize graph neural networks.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Gppt: Graph pre-training and prompt tuning to generalize graph neural networks

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:37.797343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:35.921912Z digest=sha256:64b4eaf7143e83a37659d84044f21f410b5ee935d32e19c618de5699b479bccb

Observation 813f1896-8bfd-454b-9bf7-afda321ac38a · outbound

This paper cites Feature re-embedding: Towards foun- dation model-level performance in computational pathology.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Feature re-embedding: Towards foun- dation model-level performance in computational pathology

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:37.696814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:35.927745Z digest=sha256:02e280d028f246f99cad981f44099213007b49f0f0180dee9a4c0df4c1df0354

Observation 6ebd8793-f737-469c-986b-dff382377490 · outbound

This paper cites Long-term cancer survival prediction using multimodal deep learning.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Long-term cancer survival prediction using multimodal deep learning

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:37.659019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:35.933295Z digest=sha256:850bf44ea3014363a6ba2c73cd854972014fec66edf135cce2b22055057a94c7

Observation 72ed8ef0-5ba5-4903-a784-245c3cd984ff · outbound

This paper cites Dual-stream multi-dependency graph neural net- work enables precise cancer survival analysis.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Dual-stream multi-dependency graph neural net- work enables precise cancer survival analysis

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:37.637579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:35.939013Z digest=sha256:a3c713f9f8d5df091130d27f1e6f9ef9091a883f4aff8269db7ecf9215e30681

Observation 0fd5fd01-af43-4c12-9c64-0965ef907f7b · outbound

This paper cites The cancer genome atlas pan-cancer analysis project.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction The cancer genome atlas pan-cancer analysis project

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:37.620119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:35.943830Z digest=sha256:d04f741d2a8801d772b85e5b3e0465ececc97a171f81c06706340d23e5ddcbe2

Observation adcd1662-354e-4c84-9d3a-0511ea2270af · outbound

This paper cites Attraction and repulsion: Unsupervised domain adaptive graph contrastive learning network.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Attraction and repulsion: Unsupervised domain adaptive graph contrastive learning network

Reference 67

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verified fuzzy
raw_fallback, observed 2026-08-12T15:43:37.601549Z

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source=pdf_text observed=2026-08-12T15:43:35.948864Z digest=sha256:452e2a2d32f1f9e68145591cb2583a7059613a84dfdb32f5d1242138596376d2

Observation 9373bb02-2fa4-441c-98b2-1fcc5c2232ef · outbound

This paper cites Handling distribution shifts on graphs: An invariance per- spective.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Handling distribution shifts on graphs: An invariance per- spective

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:37.570445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:35.978469Z digest=sha256:cc5bd03f00a0dd609e31a0ca6021810110c526b1ad0440777ab61c0fbaae972f

Observation efd2bccd-2488-43db-ab08-afec38dde28b · outbound

This paper cites Mome: Mixture of multimodal experts for cancer survival prediction.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Mome: Mixture of multimodal experts for cancer survival prediction

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-12T15:43:36.049211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:43:36.049211Z digest=sha256:beba1cfadad0da48837eb6d9b768ff6611941ab53adfaf469beff55d1c6541e9

Observation 23ef3492-f9fb-46c6-9ff6-1bfc50b0de5f · outbound

This paper cites Heterogeneous graph attention network for unsupervised multiple-target domain adaptation.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Heterogeneous graph attention network for unsupervised multiple-target domain adaptation

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:37.523607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:36.084807Z digest=sha256:fc09d3fed6f3bc5f05488c4c5799b3a3e8a682ad2c2de60de3691927d676c0b2

Observation 3dcabeda-8094-49a9-a190-9acbc2204233 · outbound

This paper cites From local structures to size generalization 11 in graph neural networks.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction From local structures to size generalization 11 in graph neural networks

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:37.450452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:36.096567Z digest=sha256:f55a6edc4388cf8af2f6970ba0eedc44e2d6bad01110dcd3e0894e77c023baf4

Observation 146927da-0846-44ba-8781-20ce6a55aed2 · outbound

This paper cites Coco: A cou- pled contrastive framework for unsupervised domain adap- tive graph classification.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Coco: A cou- pled contrastive framework for unsupervised domain adap- tive graph classification

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:37.368006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:36.109274Z digest=sha256:be9589019a4642adeda3a4df1f1e6dc6cf903c7741fe88fc94313df00ffe51cb

Observation 21c13460-9a56-44e9-8a25-8a28979aa7c7 · outbound

This paper cites Dream: Dual structured ex- ploration with mixup for open-set graph domain adaption.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Dream: Dual structured ex- ploration with mixup for open-set graph domain adaption

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:37.316788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:36.115692Z digest=sha256:95f1df0fa37beeebe55a10ac1bf647d3e1591860c38388fef8ab148aebab709d

Observation 8a739d3c-33fd-4fd0-9649-82e92019af01 · outbound

This paper cites Prediction model of dow jones index based on lstm-adaboost.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Prediction model of dow jones index based on lstm-adaboost

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:37.295911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:36.122089Z digest=sha256:59caccdfc8619efb491a52709f37f7b1bdd44e5312aee2d132d021b7ee015e00

Observation 7a2e26ad-1863-4837-af74-1fc402601398 · outbound

This paper cites Motor evoked po- tentials for multiple sclerosis, a multiyear follow-up dataset.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Motor evoked po- tentials for multiple sclerosis, a multiyear follow-up dataset

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:37.274145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:36.129384Z digest=sha256:58462baad26abf4440371f6c2ff4b4f876ed211cac1bd47786dd2bc88bb8f517

Observation c857d784-d046-4a5a-b35d-25078395804f · outbound

This paper cites A dynamic prediction model for prognosis of acute-on-chronic liver failure based on the trend of clinical indicators.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction A dynamic prediction model for prognosis of acute-on-chronic liver failure based on the trend of clinical indicators

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:37.244887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:36.136070Z digest=sha256:794ad0e46229a827f32b6a6d9e27c13aa9e048108b90dbec41a25d507d66fcbe

Observation 3d5d3f03-a08c-41ae-8ab3-b46671740c6e · outbound

This paper cites A multi-view mask contrastive learning graph convolu- tional neural network for age estimation.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction A multi-view mask contrastive learning graph convolu- tional neural network for age estimation

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:37.189235Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T15:43:36.142350Z digest=sha256:ec6ce8bf29a34b8aa07b3727441e752a1a1dfb146eb21395197fcebcacce8dca

Observation b4a8d9fe-4f6e-40fc-8489-308f57238645 · outbound

This paper cites Predicting lymph node metastasis using histopathological images based on multiple instance learn- ing with deep graph convolution.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Predicting lymph node metastasis using histopathological images based on multiple instance learn- ing with deep graph convolution

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:37.043400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:36.148561Z digest=sha256:bbf433acf4e8c31f53bb6affb22b27142cc72708b50b587700f73753c36a8a74

Observation 400b8da1-1b77-4cee-9fad-a06754b1ac71 · outbound

This paper cites Survival analysis for multimode ablation us- ing self-adapted deep learning network based on multisource features.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Survival analysis for multimode ablation us- ing self-adapted deep learning network based on multisource features

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:37.020061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:36.154429Z digest=sha256:96d04c74a80ae81f98ddbbf845eec67b87cdb3523f9e9fb4c46f03a6c006e8d2

Observation b4ee78d5-2978-4713-8d82-715e7c1d32ee · outbound

This paper cites Cross-modal translation and alignment for survival analysis.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Cross-modal translation and alignment for survival analysis

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:36.996425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:36.198517Z digest=sha256:56c90140219ed5e6d8eea6064c7d7f9bce8094881e36480b192a9a8c99448d43

Observation d1d1e73d-57ec-450a-9da0-899592f09665 · outbound

This paper cites Cmib: A cross modal interac- tion with information bottleneck framework for multimodal survival analysis.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Cmib: A cross modal interac- tion with information bottleneck framework for multimodal survival analysis

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:36.970744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:36.248215Z digest=sha256:021028e856954eed4743daa273778ca4f972439a945d5c0e037beb57f5e54137

Observation 9194fa02-b2ff-44fa-845c-6335c8c73f8f · outbound

This paper cites Transfer learning of graph neural networks with ego-graph information maximization.Advances in Neu- ral Information Processing Systems, 34:1766–1779, 2021.

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Transfer learning of graph neural networks with ego-graph information maximization.Advances in Neu- ral Information Processing Systems, 34:1766–1779, 2021

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:36.946050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:43:36.296747Z digest=sha256:c5788f925a8f7b2380aa323d518791f96ed756215c34b0c53b31907e5b3afb7c

Pith citing papers

Observation 54edb9d9-a085-4bdd-9dfb-e25400ad160b · inbound

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition cites this paper.

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-12T05:50:39.156704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:50:39.156704Z digest=sha256:e0fe577186f20ca394324069722a869b6997648f36511f946ca293cce2fa65f9

Observation aa278bd4-26cd-430c-943b-a7cbbdba4254 · inbound

Dynamic Graph Neural ODE Network for Multi-modal Emotion Recognition in Conversation cites this paper.

Dynamic Graph Neural ODE Network for Multi-modal Emotion Recognition in Conversation Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-11T23:02:53.876953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:02:53.876953Z digest=sha256:5f5dee2d2c554269f2d878f561932e8ab75bcc8cf050b4d41365615831cff836

Observation d646fb5b-1da6-474b-9723-e917049df42a · inbound

GroupFace: Imbalanced Age Estimation Based on Multi-hop Attention Graph Convolutional Network and Group-aware Margin Optimization cites this paper.

GroupFace: Imbalanced Age Estimation Based on Multi-hop Attention Graph Convolutional Network and Group-aware Margin Optimization Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T15:03:18.643923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:03:18.643923Z digest=sha256:c285a656696e923433404919fd177389859b7abb4602ba898be0d42592713fd3

Observation 1ffc907e-9082-4ed4-adb3-be2bfd3b36e5 · inbound

Graph Mamba Survival Analysis Based on Topology-Aware ordering cites this paper.

Graph Mamba Survival Analysis Based on Topology-Aware ordering Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-06-30T15:14:47.084326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-30T15:09:00.152708Z digest=sha256:6767cb338d85bf071a7a25f86d5c85561253515c30fce074a37f41c9d0c193f5