ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction | Paper Citation Record

Observation 52ae8b5c-06b8-4943-a0fd-fb9e9c20e17e · outbound

This paper cites Moleculenet: a benchmark for molecular machine learning.Chemical science, 9(2):513–530, 2018.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Moleculenet: a benchmark for molecular machine learning.Chemical science, 9(2):513–530, 2018

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:07.898580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a763fe1c-514d-4500-b56e-9e9c2f6ae2c6 · outbound

This paper cites Artificial intelligence foundation for therapeutic science.Nature chemical biology, 18(10):1033–1036, 2022.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Artificial intelligence foundation for therapeutic science.Nature chemical biology, 18(10):1033–1036, 2022

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:07.999315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82138948-6880-44af-9621-3ac5091d5496 · outbound

This paper cites Smiles, a chemical language and information system.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Smiles, a chemical language and information system

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:08.060743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98af3310-cf8f-4ee9-b51d-3a79976b606a · outbound

This paper cites An open source chemical structure curation pipeline using rdkit.Journal of Cheminformatics, 12(1):51, 2020.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction An open source chemical structure curation pipeline using rdkit.Journal of Cheminformatics, 12(1):51, 2020

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:08.160917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1017fdf4-b6c9-408c-a40a-c921a8db59b0 · outbound

This paper cites Analyzing learned molecular representations for property prediction.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Analyzing learned molecular representations for property prediction

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:08.260261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation debd0629-9fa2-477b-a862-72415dd08b82 · outbound

This paper cites Cornell university press, 1960.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Cornell university press, 1960

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:08.359101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb88b84f-ec8d-4fa3-93c1-7f11f77b3fb5 · outbound

This paper cites Iterative partial equalization of orbital electronegativity—a rapid access to atomic charges.Tetrahedron, 36(22):3219–3228, 1980.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Iterative partial equalization of orbital electronegativity—a rapid access to atomic charges.Tetrahedron, 36(22):3219–3228, 1980

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:08.458329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62d0ce4f-9177-4657-a1b5-dc319e2aab40 · outbound

This paper cites Uni-mol: A universal 3d molecular representation learning framework.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Uni-mol: A universal 3d molecular representation learning framework

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:08.553050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c3b3554-cfda-4611-9bd5-69d0038e4aba · outbound

This paper cites Data-driven quantum chemical property prediction leveraging 3d conformations with uni-mol+.Nature communications, 15(1):7104, 2024.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Data-driven quantum chemical property prediction leveraging 3d conformations with uni-mol+.Nature communications, 15(1):7104, 2024

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:08.624889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be0919ea-9a44-4b29-9664-3b44662b462b · outbound

This paper cites Exploring molecular pretraining model at scale.Advances in Neural Information Processing Systems, 37:46956–46978, 2024.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Exploring molecular pretraining model at scale.Advances in Neural Information Processing Systems, 37:46956–46978, 2024

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:08.725005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 396956d8-cdef-4434-b3d2-9d2945834893 · outbound

This paper cites Magnetic eigenmaps for community detection in directed networks.Physical Review E, 95(2):022302, 2017.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Magnetic eigenmaps for community detection in directed networks.Physical Review E, 95(2):022302, 2017

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:08.820133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f363ec53-aca7-414d-8fda-138ddb3b8a27 · outbound

This paper cites Magnet: A neural network for directed graphs.Advances in neural information processing systems, 34:27003–27015, 2021.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Magnet: A neural network for directed graphs.Advances in neural information processing systems, 34:27003–27015, 2021

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:08.895210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fb00660-fc8e-4a80-8530-12ec927cb0e9 · outbound

This paper cites Young, and Sinan Guven Aksoy.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Young, and Sinan Guven Aksoy

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:08.963292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd3dcf3c-3da2-4743-a26f-6361954efb78 · outbound

This paper cites Directed graph contrastive learning.Advances in neural information processing systems, 34:19580–19593, 2021.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Directed graph contrastive learning.Advances in neural information processing systems, 34:19580–19593, 2021

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:09.030219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2edd87cd-5f4b-4ab7-937f-e0ffb90c1b4a · outbound

This paper cites Extended-connectivity fingerprints.Journal of chemical information and modeling, 50(5):742–754, 2010.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Extended-connectivity fingerprints.Journal of chemical information and modeling, 50(5):742–754, 2010

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:09.159536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d35dfe5f-2f2a-49ba-a7a3-5f07a23fbe5b · outbound

This paper cites pkcsm: predicting small-molecule pharmacokinetic and toxicity properties using graph-based signatures.Journal of medicinal chemistry, 58(9):4066–4072, 2015.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction pkcsm: predicting small-molecule pharmacokinetic and toxicity properties using graph-based signatures.Journal of medicinal chemistry, 58(9):4066–4072, 2015

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:09.259353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a4b7dd1-42a8-49b9-b1c1-0a5c83ebe820 · outbound

This paper cites Swissadme: a free web tool to evaluate pharmacokinetics, drug-likeness and medicinal chemistry friendliness of small molecules.Scientific reports, 7(1):42717, 2017.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Swissadme: a free web tool to evaluate pharmacokinetics, drug-likeness and medicinal chemistry friendliness of small molecules.Scientific reports, 7(1):42717, 2017

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:09.349440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d23274f-8b0b-4e87-8063-617658312682 · outbound

This paper cites vnn web server for admet predictions.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction vnn web server for admet predictions

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:09.449207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e53fb40-8b98-443b-a59a-d39547104f51 · outbound

This paper cites Admetboost: a web server for accurate admet prediction.Journal of molecular modeling, 28(12):408, 2022.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Admetboost: a web server for accurate admet prediction.Journal of molecular modeling, 28(12):408, 2022

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:09.555276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ba16e05-9a3a-4c88-b56f-95fb62200de0 · outbound

This paper cites Admetlab 2.0: an integrated online platform for accurate and comprehensive predictions of admet properties.Nucleic acids research, 49(W1):W5–W14, 2021.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Admetlab 2.0: an integrated online platform for accurate and comprehensive predictions of admet properties.Nucleic acids research, 49(W1):W5–W14, 2021

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:09.620677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7514f78d-c3e3-4fbb-8ae7-8779538a066d · outbound

This paper cites an unresolved cited work.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:09.709112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a002e3f-04c6-4324-9a95-54851651d989 · outbound

This paper cites Admet-ai: a machine learning admet platform for evaluation of large-scale chemical libraries.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Admet-ai: a machine learning admet platform for evaluation of large-scale chemical libraries

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:09.803678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 332eaedb-9d75-4fa0-bb66-5aac6d540056 · outbound

This paper cites Potentialnet for molecular property prediction.ACS central science, 4(11):1520–1530, 2018.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Potentialnet for molecular property prediction.ACS central science, 4(11):1520–1530, 2018

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:09.912124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c804ed3-81c2-4e70-bf4f-a067a2166841 · outbound

This paper cites Chemprop: a machine learning package for chemical property prediction.Journal of Chemical Information and Modeling, 64(1):9–17, 2023.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Chemprop: a machine learning package for chemical property prediction.Journal of Chemical Information and Modeling, 64(1):9–17, 2023

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:10.000437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5bd591b-32ab-4a34-a69b-e521389fcf33 · outbound

This paper cites Chemprop v2: An efficient, modular machine learning package for chemical property prediction.Journal of Chemical Information and Modeling, 2025.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Chemprop v2: An efficient, modular machine learning package for chemical property prediction.Journal of Chemical Information and Modeling, 2025

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:10.104180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffc8f03f-dc35-459a-ae59-d42c871e7396 · outbound

This paper cites Do transformers really perform badly for graph representation?Advances in neural information processing systems, 34:28877–28888, 2021.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Do transformers really perform badly for graph representation?Advances in neural information processing systems, 34:28877–28888, 2021

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:10.200431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be1da040-dd51-4441-a2a1-7a11e4235065 · outbound

This paper cites Admet property prediction via multi-task graph learning under adaptive auxiliary task selection.Iscience, 26(11), 2023.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Admet property prediction via multi-task graph learning under adaptive auxiliary task selection.Iscience, 26(11), 2023

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:10.262362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8677d7fa-8f58-4be2-9f83-15e7300530c3 · outbound

This paper cites Deepdelta: predicting admet improvements of molecular derivatives with deep learning.Journal of cheminformatics, 15(1):101, 2023.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Deepdelta: predicting admet improvements of molecular derivatives with deep learning.Journal of cheminformatics, 15(1):101, 2023

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:10.389345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 529cd476-dc42-4221-8433-a23c7535e688 · outbound

This paper cites Unified and explainable molecular representation learning for imperfectly annotated data from the hypergraph view.Nature Communications, 16(1):1–18, 2025.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Unified and explainable molecular representation learning for imperfectly annotated data from the hypergraph view.Nature Communications, 16(1):1–18, 2025

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:10.482815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c00d244-629b-48c8-b3fc-74b74edc4f43 · outbound

This paper cites Quantum-informed molecular representation learning enhancing admet property prediction.Journal of Chemical Information and Modeling, 64(13):5028–5040, 2024.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Quantum-informed molecular representation learning enhancing admet property prediction.Journal of Chemical Information and Modeling, 64(13):5028–5040, 2024

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:10.555950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4b00b04-11aa-44db-8806-546269740ad2 · outbound

This paper cites Pretraining graph transformers with atom-in-a-molecule quantum properties for improved admet modeling.Journal of Cheminformatics, 17(1):25, 2025.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Pretraining graph transformers with atom-in-a-molecule quantum properties for improved admet modeling.Journal of Cheminformatics, 17(1):25, 2025

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:10.641222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cf2d256-be5d-497c-a901-eaf5f1aff367 · outbound

This paper cites Hypergraph neural networks.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Hypergraph neural networks

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:10.733978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 781dbab7-5c02-43cc-a30a-5f5f97388b9e · outbound

This paper cites Recent advances in hypergraph neural networks: M.-r.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Recent advances in hypergraph neural networks: M.-r

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:10.832535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b56d5703-f5ef-41bf-9906-85fb9af5951c · outbound

This paper cites You are allset: A multiset function framework for hypergraph neural networks.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction You are allset: A multiset function framework for hypergraph neural networks

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:10.935068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10e4b0f7-0695-4b5c-b2c0-731db7f845fb · outbound

This paper cites Sheaf hypergraph networks.Advances in Neural Information Processing Systems, 36:12087–12099, 2023.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Sheaf hypergraph networks.Advances in Neural Information Processing Systems, 36:12087–12099, 2023

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:11.033750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b75b205-77bf-4bd6-a3f1-ff4c6b6cf416 · outbound

This paper cites Directed hypergraph representation learning for link prediction.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Directed hypergraph representation learning for link prediction

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:11.138253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29f73f54-ddec-463e-a04b-0111d79e5279 · outbound

This paper cites Directional sheaf hypergraph networks: Unifying learning on directed and undirected hypergraphs.arXiv preprint arXiv:2510.04727, 2025.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Directional sheaf hypergraph networks: Unifying learning on directed and undirected hypergraphs.arXiv preprint arXiv:2510.04727, 2025

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:11.235771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d4490c3-1e79-4495-a8cd-b8d97b36f0fc · outbound

This paper cites Molecular hypergraph grammar with its application to molecular optimization.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Molecular hypergraph grammar with its application to molecular optimization

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:11.329147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18052e27-f174-4cfa-b267-b596e034b7e7 · outbound

This paper cites Molecular hypergraph neural networks.The Journal of Chemical Physics, 160(14), 2024.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Molecular hypergraph neural networks.The Journal of Chemical Physics, 160(14), 2024

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:11.453177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc69f708-c077-4a4a-a0fd-1987a77287b9 · outbound

This paper cites A hypergraph convolutional neural network for molecular properties prediction using functional group.arXiv, 2021.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction A hypergraph convolutional neural network for molecular properties prediction using functional group.arXiv, 2021

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:11.585264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 254a557d-0cd3-46fb-ab95-ff003551d792 · outbound

This paper cites Msgnn: A spectral graph neural network based on a novel magnetic signed laplacian.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Msgnn: A spectral graph neural network based on a novel magnetic signed laplacian

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:11.712759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 005423bf-066e-4d4f-b967-0ecb909bbc96 · outbound

This paper cites A spectral graph convolution for signed directed graphs via magnetic laplacian.Neural Networks, 164:562–574, 2023.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction A spectral graph convolution for signed directed graphs via magnetic laplacian.Neural Networks, 164:562–574, 2023

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:11.830107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55e27a93-3777-458f-9ed1-977c4e3faef1 · outbound

This paper cites Exploitation of a latent mechanism in graph contrastive learning: Representation scattering.Advances in Neural Information Processing Systems, 37:115351–115376, 2024.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Exploitation of a latent mechanism in graph contrastive learning: Representation scattering.Advances in Neural Information Processing Systems, 37:115351–115376, 2024

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:11.960831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11a3e304-c951-4fcf-b0f0-434676d45c25 · outbound

This paper cites Graph contrastive learning with augmentations.Advances in neural information processing systems, 33:5812–5823, 2020.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Graph contrastive learning with augmentations.Advances in neural information processing systems, 33:5812–5823, 2020

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:12.080121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 400fa32a-ffa5-4136-9820-566b6ede84ea · outbound

This paper cites Adversarial graph augmentation to improve graph contrastive learning.Advances in Neural Information Processing Systems, 34:15920–15933, 2021.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Adversarial graph augmentation to improve graph contrastive learning.Advances in Neural Information Processing Systems, 34:15920–15933, 2021

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:12.208591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c7968f7-ed20-49cb-b942-0047db207383 · outbound

This paper cites Prototypical graph contrastive learning.IEEE transactions on neural networks and learning systems, 35(2):2747–2758, 2022.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Prototypical graph contrastive learning.IEEE transactions on neural networks and learning systems, 35(2):2747–2758, 2022

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:12.340737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51843cc5-ac61-4939-8800-bf00848aa979 · outbound

This paper cites An empirical study of graph contrastive learning.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction An empirical study of graph contrastive learning

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:12.434948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57ed2f7c-ceef-434a-8cf4-b3c6aa08ed45 · outbound

This paper cites Molecular contrastive learning of representations via graph neural networks.Nature Machine Intelligence, 4(3):279–287, 2022.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Molecular contrastive learning of representations via graph neural networks.Nature Machine Intelligence, 4(3):279–287, 2022

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:12.531862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0eb03b9-255a-42a2-9c70-54f32df8b73e · outbound

This paper cites Pre-training molecular graph representation with 3d geometry.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Pre-training molecular graph representation with 3d geometry

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:12.636546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13f996a0-f0f3-4109-af16-5fc7ab95bc34 · outbound

This paper cites 3d graph contrastive learning for molecular property prediction.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction 3d graph contrastive learning for molecular property prediction

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:12.711209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c6c8dd4-f09a-44bb-8c5d-20b93c361f2d · outbound

This paper cites Attention-wise masked graph contrastive learning for predicting molecular property.Briefings in bioinformatics, 23(5):bbac303, 2022.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Attention-wise masked graph contrastive learning for predicting molecular property.Briefings in bioinformatics, 23(5):bbac303, 2022

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:12.806410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6df7b8ef-67d5-46f0-9e73-67ebc2b287ca · outbound

This paper cites Advancing drug discovery with enhanced chemical understanding via asymmetric contrastive multimodal learning.Journal of chemical information and modeling, 2025.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Advancing drug discovery with enhanced chemical understanding via asymmetric contrastive multimodal learning.Journal of chemical information and modeling, 2025

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:12.889086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cc4347e-ad8e-4e81-a05d-443bcc22e847 · outbound

This paper cites Universal graph contrastive learning with a novel laplacian perturbation.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Universal graph contrastive learning with a novel laplacian perturbation

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:12.949731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31148463-4e19-492e-b2af-aff8d1030266 · outbound

This paper cites Signed Directed Graph Contrastive Learning with Laplacian Augmentation.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Signed Directed Graph Contrastive Learning with Laplacian Augmentation

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:13.040906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8935677-a74d-472a-852f-2e6abd82da0f · outbound

This paper cites Toward General Digraph Contrastive Learning: A Dual Spatial Perspective.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Toward General Digraph Contrastive Learning: A Dual Spatial Perspective

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:13.091018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d12d6d18-7513-4389-a91d-5b096b8d69cf · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Representation Learning with Contrastive Predictive Coding

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:13.191786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61798a6b-bb49-4bd3-ae9e-5815ed7a46e7 · outbound

This paper cites Ring perception using breadth-first search.Journal of chemical information and computer sciences, 36(5):986–991, 1996.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Ring perception using breadth-first search.Journal of chemical information and computer sciences, 36(5):986–991, 1996

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:13.242242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 890f2401-243b-44d1-9e1a-a696484575c3 · outbound

This paper cites On the art of compiling and using’drug-like’chemical fragment spaces.ChemMedChem, 3(10):1503, 2008.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction On the art of compiling and using’drug-like’chemical fragment spaces.ChemMedChem, 3(10):1503, 2008

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:13.295475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e372536b-d332-43d2-a04a-1a99d817b236 · outbound

This paper cites The properties of known drugs.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction The properties of known drugs

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:13.348164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4df3299d-a0c4-4e6f-b833-4a60d020a141 · outbound

This paper cites Convolutional neural networks on graphs with chebyshev approxi- mation, revisited.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Convolutional neural networks on graphs with chebyshev approxi- mation, revisited

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:13.437168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fac829a-be97-466e-9fa1-2d64a9a68e8e · outbound

This paper cites Convolutional neural networks on graphs with fast localized spectral filtering.Advances in neural information processing systems, 29, 2016.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Convolutional neural networks on graphs with fast localized spectral filtering.Advances in neural information processing systems, 29, 2016

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:13.519167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e075fdd2-d2f0-44db-9558-1bd9669dceef · outbound

This paper cites Mtgl-admet: a novel multi-task graph learning framework for admet prediction enhanced by status-theory and maximum flow.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Mtgl-admet: a novel multi-task graph learning framework for admet prediction enhanced by status-theory and maximum flow

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:13.584169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7313e98-5651-41a0-ad71-175c438e7124 · outbound

This paper cites Mtgib-unet: A multi-task graph information bottleneck and uncertainty weighted network for admet prediction.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Mtgib-unet: A multi-task graph information bottleneck and uncertainty weighted network for admet prediction

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:13.642612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66b0b971-3ef0-4bf8-88cb-7271bc1814c6 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Semi-Supervised Classification with Graph Convolutional Networks

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:13.751339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7d86138-82de-499b-b15f-d91947681879 · outbound

This paper cites Graph Attention Networks.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Graph Attention Networks

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:13.843844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d502ff06-32b3-4bb3-9bc2-f8334b22f5a5 · outbound

This paper cites ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:13.925232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ba87551-a0f0-4ff7-8926-0e8e84f6860a · outbound

This paper cites Modeling physico-chemical admet endpoints with multitask graph convolutional networks.Molecules, 25(1):44, 2019.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Modeling physico-chemical admet endpoints with multitask graph convolutional networks.Molecules, 25(1):44, 2019

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:13.994581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb29134e-1bc7-4be1-b323-4f6fd30d2027 · outbound

This paper cites Bayesian flow network framework for chemistry tasks.Journal of Chemical Information and Modeling, 65(3):1178–1187, 2025.

ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction Bayesian flow network framework for chemistry tasks.Journal of Chemical Information and Modeling, 65(3):1178–1187, 2025

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:14.068280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers