AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery | Paper Citation Record

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This paper cites Strategies for pre-training graph neural networks,.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Strategies for pre-training graph neural networks,

Reference 1

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Observation 0e9d5f9c-1bd3-4ae8-b2a4-87b55c4bb839 · outbound

This paper cites Accurate prediction of molecular properties and drug targets using a self-supervised image representation learning framework,.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Accurate prediction of molecular properties and drug targets using a self-supervised image representation learning framework,

Reference 2

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This paper cites Dual-view learning based on images and sequences for molecular property prediction,.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Dual-view learning based on images and sequences for molecular property prediction,

Reference 3

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This paper cites Similarity maps—a visualization strategy for molecular fingerprints and machine-learning methods,.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Similarity maps—a visualization strategy for molecular fingerprints and machine-learning methods,

Reference 4

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This paper cites Computational methods in drug discovery,.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Computational methods in drug discovery,

Reference 5

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This paper cites Communicative representation learning on attributed molecular graphs,.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Communicative representation learning on attributed molecular graphs,

Reference 6

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This paper cites Molecular contrastive learning with chemical element knowledge graph,.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Molecular contrastive learning with chemical element knowledge graph,

Reference 7

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This paper cites Knowledge graph- enhanced molecular contrastive learning with functional prompt,.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Knowledge graph- enhanced molecular contrastive learning with functional prompt,

Reference 8

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This paper cites Learning feed-forward one-shot learners,.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Learning feed-forward one-shot learners,

Reference 9

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Observation c99e98ce-e9df-4528-bf1b-9b8e3e180cc3 · outbound

This paper cites Low data drug discovery with one-shot learning,.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Low data drug discovery with one-shot learning,

Reference 10

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This paper cites Meta learning with graph attention networks for low-data drug discovery,.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Meta learning with graph attention networks for low-data drug discovery,

Reference 11

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Observation 1df2adb0-47c7-4d3d-9f10-41c9c1387147 · outbound

This paper cites Attribute-guided prototype network for few-shot molecular property prediction,.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Attribute-guided prototype network for few-shot molecular property prediction,

Reference 12

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This paper cites Fp-gnn: a versatile deep learning architecture for enhanced molecular property prediction,.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Fp-gnn: a versatile deep learning architecture for enhanced molecular property prediction,

Reference 13

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Observation 8e8e939b-91c8-435c-87f9-6d7a738c741c · outbound

This paper cites Smiclr: Contrastive learning on multiple molecu- lar representations for semisupervised and unsupervised representation learning,.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Smiclr: Contrastive learning on multiple molecu- lar representations for semisupervised and unsupervised representation learning,

Reference 14

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Observation 08b17c1d-b470-43b3-8c32-50cde2ff588b · outbound

This paper cites Improving Molecular Pretraining with Complementary Featurizations.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Improving Molecular Pretraining with Complementary Featurizations

Reference 15

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Observation 0b3ddfa2-1f5f-42c9-8614-4dda05dcedb3 · outbound

This paper cites Attribute-guided prototype network for few-shot molecular property prediction,.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Attribute-guided prototype network for few-shot molecular property prediction,

Reference 16

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Observation 9f5099c8-a887-4472-8289-3a0c135e01fe · outbound

This paper cites Matching networks for one shot learning,.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Matching networks for one shot learning,

Reference 17

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Observation 6355dc5a-dc67-46a4-8aa8-f208b8afba37 · outbound

This paper cites A closer look at few-shot classification,.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery A closer look at few-shot classification,

Reference 18

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This paper cites A systematic review on data scarcity problem in deep learning: Solution and applications,.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery A systematic review on data scarcity problem in deep learning: Solution and applications,

Reference 19

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Observation b3469d46-fc3f-48bb-9749-d1a63ec046c1 · outbound

This paper cites Adaptive task sampling for meta-learning,.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Adaptive task sampling for meta-learning,

Reference 20

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Observation d93676d3-8166-4c3e-8ceb-65eadafe2456 · outbound

This paper cites Meta-learning with an Adaptive Task Scheduler.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Meta-learning with an Adaptive Task Scheduler

Reference 21

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This paper cites Meta-learning in neural networks: A survey,.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Meta-learning in neural networks: A survey,

Reference 22

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This paper cites Model-agnostic meta-learning for fast adaptation of deep networks,.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Model-agnostic meta-learning for fast adaptation of deep networks,

Reference 23

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Observation 97d811a1-78c3-4d41-a8de-132248398938 · outbound

This paper cites Prototypical networks for few-shot learning,.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Prototypical networks for few-shot learning,

Reference 24

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Observation 784f35af-4f87-4f47-b1ee-d7cfea78af90 · outbound

This paper cites Property-aware relation networks for few-shot molecular property prediction,.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Property-aware relation networks for few-shot molecular property prediction,

Reference 25

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Observation fe280880-d88f-435f-b740-de0b28d9bcad · outbound

This paper cites Few-shot graph learning for molecular property prediction,.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Few-shot graph learning for molecular property prediction,

Reference 26

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Observation f8bbce7a-6986-4760-887a-a5545dda0ee7 · outbound

This paper cites Low data drug discovery with one-shot learning,.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Low data drug discovery with one-shot learning,

Reference 27

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Observation ffd6eead-96a2-4cbd-8ca6-301314cd23da · outbound

This paper cites Few-shot learning for low-data drug discovery,.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Few-shot learning for low-data drug discovery,

Reference 28

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Observation 5fa62947-3bce-4357-b2c3-7d06cfffaf0d · outbound

This paper cites Stop explaining black box machine learning models for high stakes decisions and use inter- pretable models instead,.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Stop explaining black box machine learning models for high stakes decisions and use inter- pretable models instead,

Reference 29

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Observation 649b5bc9-920e-4920-abf2-aeac77bb53b0 · outbound

This paper cites “why should i trust you?.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery “why should i trust you?

Reference 30

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This paper cites Axiomatic attribution for deep networks,.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Axiomatic attribution for deep networks,

Reference 31

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Observation e3bd4dc9-dc42-4c65-a3c6-19b31310a7ec · outbound

This paper cites Multi-objective molecule generation using interpretable substructures,.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Multi-objective molecule generation using interpretable substructures,

Reference 32

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Observation 53fa588e-1ae0-4df2-8649-bf82cabbaee6 · outbound

This paper cites Mastering the game of go without human knowledge,.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Mastering the game of go without human knowledge,

Reference 33

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Observation f66617e6-ac07-4cd0-9b0d-d7ace54c86f9 · outbound

This paper cites Moleculenet: A benchmark for molecular machine learning,.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Moleculenet: A benchmark for molecular machine learning,

Reference 34

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Observation c8fd03a3-09d5-4140-b9f3-207a51e09ffd · outbound

This paper cites Siamese neural networks for one-shot image recognition,.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Siamese neural networks for one-shot image recognition,

Reference 35

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Observation 72d7430c-f6b5-4a42-bfd6-dd3acd4eb366 · outbound

This paper cites Attention-based bidirectional long short-term memory networks for relation classification,.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Attention-based bidirectional long short-term memory networks for relation classification,

Reference 36

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Observation 9dbe557d-68f8-4d4f-92bd-3b9a0d83a388 · outbound

This paper cites Cross-Domain Few-Shot Learning by Representation Fusion.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Cross-Domain Few-Shot Learning by Representation Fusion

Reference 37

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Observation aa103297-9802-46c8-852c-38c36b87fb8a · outbound

This paper cites Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning

Reference 38

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Observation c28dcd3e-fd5c-4eec-9dff-d4c2348cafae · outbound

This paper cites BOIL: Towards Representation Change for Few-shot Learning.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery BOIL: Towards Representation Change for Few-shot Learning

Reference 39

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Observation 3339b77b-7c0d-4cc6-81bd-f6689e3aa431 · outbound

This paper cites Edge-labeling graph neural network for few-shot learning,.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Edge-labeling graph neural network for few-shot learning,

Reference 40

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Observation 88beff69-de98-45c7-a341-fd9dd4f6dc86 · outbound

This paper cites UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery

Reference 41

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Observation 38e5427d-1c5d-4364-acfb-390893846c5d · outbound

This paper cites Learning to propagate labels: Transduc- tive propagation network for few-shot learning,.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Learning to propagate labels: Transduc- tive propagation network for few-shot learning,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:50:18.977275Z

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Observation f7f819f6-0b11-403a-a049-3b2b619a8323 · outbound

This paper cites Therapeutics data commons: Machine learning datasets and tasks for drug discovery and development,.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Therapeutics data commons: Machine learning datasets and tasks for drug discovery and development,

Reference 43

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Observation bc7acf8a-4b83-4f04-b9d0-c9e6ad8d7fa6 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Adam: A Method for Stochastic Optimization

Reference 44

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Observation d350f5ea-7625-4a1c-bf83-d0af72dea9bf · outbound

This paper cites Available: https://pubs.rsc.org/en/content/articlelanding/2018/sc/c7sc02664a.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Available: https://pubs.rsc.org/en/content/articlelanding/2018/sc/c7sc02664a

Reference 2018

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Observation 7352b219-de2a-466a-acbb-61214be70133 · outbound

This paper cites Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

Reference 2021

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Observation 8649d7c1-904e-41fe-9854-ea9116059dbe · outbound

This paper cites Available: https://doi.org/10.1109/TPAMI.2021.3079209.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Available: https://doi.org/10.1109/TPAMI.2021.3079209

Reference 2022

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