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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 13 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 2026-08-13T06:32:02.005865+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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Unavailable: canonical work link unavailable.

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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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Unavailable: canonical work link unavailable.

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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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:39.103428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+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
raw_fallback, observed 2026-08-12T15:43:39.082219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+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

Unavailable: canonical work link unavailable.

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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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:43:39.047293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+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

Resolution
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 2026-08-13T06:32:02.005865+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:35.286560Z digest=sha256:380a702087f20fece14fa4c8be5516c9b7e65c19f70e008d6d4048ad95921e00

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:35.296915Z digest=sha256:3d7d7b1b035ab66bd6332f1d49c7982f782b664acbe97904e22704b2f47cde9b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:35.308452Z digest=sha256:5d4c1b69f304144828524228666c97ac6271277cf78db29862e582b4c89767f3

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

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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:a6fd0def124359b59fde0b2c2a572879835d70518024f2572947ca1b4f25e00f

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:35.481693Z digest=sha256:9410f7f0041d6d203370d5a66d5acacd1635cca706fac8d61b05ab5674935533

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:35.540034Z digest=sha256:8c7580e62d2db75767a8678063ea3173384708cb990c9aa171ff9d229972516e

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:35.568083Z digest=sha256:d8346d9dbdef2ef17f5fe39de229deaeb8dde7037ed9adbf085fb57dc0626aab

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:35.577209Z digest=sha256:9bdcee6c9cc9b390cb4ba145f2313a9f4d548ea08780af782120b0ca778fccdb

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:35.585811Z digest=sha256:651c4660c6a23f6c20bef22eb4e7371c5c3509882b8ea281f5a13d9ac47e4ec8

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:35.592648Z digest=sha256:7615b92ca764c701738d5fcd96f1c34c5e08cd656e60774cb9bbd1f1aebad756

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:35.599160Z digest=sha256:813150c005a47f01fa28c4596fcba76dd535aaba5fe8419337eefe7d925f8d21

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:35.604450Z digest=sha256:6181c28a2d6b6ccd09702948a4a5796dede81adb90527fe75f4945b6a78225c7

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:35.610522Z digest=sha256:0d68c1d576fcc12bc9bc595df38df066e0f416180621d5a3bc9199b71c8eb44e

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

Resolution
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=sha256:36c1709d4e6d2e46f0531b1625406d7b9d089b98c3372bc0a7ff10b7d155b5dd

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:a1d17274f3b9ab8abc3ea76cfa559096e7120578321d071326e220eec7ac9122

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:35.626541Z digest=sha256:b291d5e510092cec2c7948d5e8cfc895e453ba5343527783fcee8c66952ab9b7

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=sha256:8107488ac717ae7b8b4c75f2fcebb6ec90f41b0ff3a1b75ef67c33e4208488b4

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

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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:be8bea27e72c31d7f1196e2aa96fb18a2487cfee13425840ab1d968e07d79523

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
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:43:35.646069Z digest=sha256:59c8bc5a534e91754dd6e10dd97743e6c1a8ea2b99d674edad359c1e28f35ef7

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=sha256:09152414a138a05f3036d5c28da54080bb9f754bf308dc1be6ae95b24f96aad1

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=sha256:8ec282d07daac2565950aaef9eca68a53e2eacc54f564980325d4089f6c36506

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:35.794471Z digest=sha256:59b462c5b03fe9ac53d7489fc23bbd5ff8acd719999c20abbccf86f67e95d6d8

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:35.861636Z digest=sha256:bd18deac0568515e3e45243df50577f44615e673345ec22295b55b496dc0827d

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:a96c33f5dd1388577697bf2cf5b12921e4fe7a8d17a511cc63e1f9bd3d2d4195

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:35.894443Z digest=sha256:233b733f4773cce853ceabc8373093deb9a2adb822af3847a233f185412c9246

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:35.900898Z digest=sha256:865386c51a3615bb438cecd31343ba3e52acd9505cd8a38562da7dbd38eaefc4

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:35.908657Z digest=sha256:de41af0cf71afe97b4a7bde031f43f9c505609cb50dd35a6aab6f06eedc58b10

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:35.915304Z digest=sha256:dc1b364a37135b393d90926f064534251dc289c39139bc590b50cefb9ccf523e

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:35.921912Z digest=sha256:27cc79eb5394692af09c0dd228906d17c6375af2206747c275cdff24cda7c497

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:35.927745Z digest=sha256:f1db5da6876e88cadeb11e2d994947c8fa26c68ec1201bf455e7a9ef0e4664de

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:35.933295Z digest=sha256:04fdbfe205555463a1be603b28fb7f2a6a22550e37d489a086bb2794d86d12d1

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:35.939013Z digest=sha256:204e40d35b2ab8f0a46fc9386ba816d5af06c6abf8a336e7018483ec06c4e040

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:35.943830Z digest=sha256:1028908a0f464a440a6586953b6dceef78907a101b40eec4955a188b5ad67e07

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:35.948864Z digest=sha256:d3c6275a6e50737fd52a26a62ee3e6e16234d3bdcf6e6b3c4474e1b03ee83e8b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:35.978469Z digest=sha256:cfc2d1793396aafb39d13735bc69da7015185f9f675dae579f0950e3cdaab5a6

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:f9abdf69ce319264edba507565ef80ad854edafb5bd57ce7c9a6e436e9d2d2ec

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:36.084807Z digest=sha256:700384e215a45e7619f40a9266047f0c530965174d0f1df225585ad0ba1f02ba

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:36.096567Z digest=sha256:c4cdd001268b78b4c8477b177adedefe4f7668e339560ea47534ff9ff1037f51

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:36.109274Z digest=sha256:0fc608149ed592db011fccc84a8351ada1b2cd3abd94128469d1cc231cd84bf1

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:36.115692Z digest=sha256:51499fce37ce74864f40d6936e1771f23cd0d6d48dbcc65e35a77c2fcfe0e6ac

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:36.122089Z digest=sha256:4a7819a5459fb9c24008bdf23de270cc88165e307f52ea3bdedacbd276261691

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:36.129384Z digest=sha256:9eca48b3c3732c903263aa5d63240b275ae7c79b603a2697f9678d7378fdf07e

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:36.136070Z digest=sha256:d29f5f20f9f16e1c5ae8f30ca59dbc309074ec9ac34f2b4fd593ff599ebe80eb

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

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:36.142350Z digest=sha256:48900c4bcc533e441357f89a444c9d959f75ea9748878bcf82b0fda8a841b0a4

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:36.148561Z digest=sha256:ff2f83d5845d8d27dd6a8c67a31045e94af5fdb959a8b05b531ff2e1d115dc7c

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:36.154429Z digest=sha256:727f3943ad4243515cdd19ee7adcda2a00c82a83e4f8b1c3ed06b9978f34822c

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:36.198517Z digest=sha256:39f072639a3751193c3c117b4bafbead1906e7687d10062594858f4f0c59ee12

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:36.248215Z digest=sha256:2b8389e277633d5d16e4de66a7947914dc212d6328773a8bab3234d6f0008fd6

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:43:36.296747Z digest=sha256:dc00a07e773ca193bd55c197de7833016d8df66ef9684c6bf35d5e159a725ebf

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=sha256:599480d48daa18f6ca6402d7b17ce5d8bfb44537277565543d43adc883ebc4ad

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:b47b5aa8fb2eb37025737f7b28a00dd6e1ae5984b0f8f7d3bcce73afc2a14d16

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=sha256:4c61f6ae0214128de6056d3e5cc673c6a4adf303f9c69ca977feb1c995a4a443

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-30T15:09:00.152708Z digest=sha256:549e4d3ce4e4ec9105dae5ade5e0764e297cbf3720a04cc7f2d18e6a37137903