DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules | Paper Citation Record

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This paper cites Deeprna- twist: Language model guided rna torsion angle prediction with attention-inception network.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Deeprna- twist: Language model guided rna torsion angle prediction with attention-inception network

Reference 1

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This paper cites Rnasolo: a repository of cleaned pdb-derived rna 3d structures.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Rnasolo: a repository of cleaned pdb-derived rna 3d structures

Reference 2

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This paper cites Optuna: A next-generation hyperparameter optimization framework.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Optuna: A next-generation hyperparameter optimization framework

Reference 3

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This paper cites On the bottleneck of graph neural networks and its practical implications.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules On the bottleneck of graph neural networks and its practical implications

Reference 4

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This paper cites Geometric deep learning on molecular representations.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Geometric deep learning on molecular representations

Reference 5

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This paper cites Gotennet: Rethinking efficient 3d equivariant graph neural networks.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Gotennet: Rethinking efficient 3d equivariant graph neural networks

Reference 6

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This paper cites Protein structure prediction and structural genomics.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Protein structure prediction and structural genomics

Reference 7

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This paper cites Implicit graph neural networks: A monotone operator viewpoint.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Implicit graph neural networks: A monotone operator viewpoint

Reference 8

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This paper cites Mace: Higher order equivariant message passing neural networks for fast and accurate force fields.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Mace: Higher order equivariant message passing neural networks for fast and accurate force fields

Reference 9

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Observation 8e34f449-fc8b-452f-935e-5be29dededee · outbound

This paper cites The protein data bank.Nucleic acids research, 28(1):235–242, 2000.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules The protein data bank.Nucleic acids research, 28(1):235–242, 2000

Reference 10

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This paper cites Rna-torsionbert: lever- aging language models for rna 3d torsion angles prediction.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Rna-torsionbert: lever- aging language models for rna 3d torsion angles prediction

Reference 11

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This paper cites Geometric and Physical Quantities Improve E(3) Equivariant Message Passing.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Geometric and Physical Quantities Improve E(3) Equivariant Message Passing

Reference 13

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This paper cites Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges

Reference 14

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This paper cites Crystal structure of a group i ribozyme domain: principles of rna packing.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Crystal structure of a group i ribozyme domain: principles of rna packing

Reference 15

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This paper cites Are high- degree representations really unnecessary in equivariant graph neural networks? In The Thirty-eighth Annual Conference on Neural Information Processing Systems.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Are high- degree representations really unnecessary in equivariant graph neural networks? In The Thirty-eighth Annual Conference on Neural Information Processing Systems

Reference 16

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Observation 0e2db7ed-a309-4dcf-8df3-83ae219303ec · outbound

This paper cites Are high- degree representations really unnecessary in equivariant graph neural networks? arXiv preprint arXiv:2410.11443, 2024.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Are high- degree representations really unnecessary in equivariant graph neural networks? arXiv preprint arXiv:2410.11443, 2024

Reference 17

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Observation 29128484-a485-4a29-863e-7251a629e6d4 · outbound

This paper cites Simple and deep graph convolutional networks.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Simple and deep graph convolutional networks

Reference 18

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Observation b8ac6e80-674e-44c6-8de8-786d15c761a9 · outbound

This paper cites Efficient and scalable implicit graph neural networks with virtual equilibrium.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Efficient and scalable implicit graph neural networks with virtual equilibrium

Reference 19

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Observation 72465da2-a983-4594-b9cd-7433d5eca41a · outbound

This paper cites Optimization-induced graph implicit nonlinear diffusion.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Optimization-induced graph implicit nonlinear diffusion

Reference 20

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This paper cites A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability

Reference 21

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This paper cites The limitless future of rna therapeutics.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules The limitless future of rna therapeutics

Reference 22

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This paper cites Rna structure determination: From 2d to 3d.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Rna structure determination: From 2d to 3d

Reference 23

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This paper cites A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems

Reference 24

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This paper cites Long range graph benchmark.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Long range graph benchmark

Reference 25

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DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Unresolved cited work

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This paper cites A euclidean trans- former for fast and stable machine learned force fields.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules A euclidean trans- former for fast and stable machine learned force fields

Reference 27

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This paper cites Se (3)-transformers: 3d roto-translation equivariant attention networks.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Se (3)-transformers: 3d roto-translation equivariant attention networks

Reference 28

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This paper cites Gemnet: Universal directional graph neural networks for molecules.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Gemnet: Universal directional graph neural networks for molecules

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:47.644063Z

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This paper cites Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules

Reference 30

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DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Directional Message Passing for Molecular Graphs

Reference 31

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This paper cites e3nn: Euclidean Neural Networks.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules e3nn: Euclidean Neural Networks

Reference 32

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This paper cites Transformers meet directed graphs.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Transformers meet directed graphs

Reference 33

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This paper cites Tuning the performance of synthetic riboswitches using machine learning.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Tuning the performance of synthetic riboswitches using machine learning

Reference 34

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Observation 5c53a71c-c956-4638-8b53-eb9309ffae57 · outbound

This paper cites Implicit graph neural networks.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Implicit graph neural networks

Reference 35

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Observation d406d10b-7263-4c63-8d96-05f0725fecb9 · outbound

This paper cites A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications

Reference 36

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This paper cites Geometrically Equivariant Graph Neural Networks: A Survey.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Geometrically Equivariant Graph Neural Networks: A Survey

Reference 37

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This paper cites Ribonanza: deep learning of rna structure through dual crowdsourcing.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Ribonanza: deep learning of rna structure through dual crowdsourcing

Reference 38

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Observation a5979652-ba58-45e1-ac69-a2204673f724 · outbound

This paper cites Rna-dependent rna polymerase: Structure, mechanism, and drug discovery for covid-19.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Rna-dependent rna polymerase: Structure, mechanism, and drug discovery for covid-19

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:47.597649Z

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Observation 40abd8f2-d6f7-45e0-a506-939aeafd0ee4 · outbound

This paper cites Learning from Protein Structure with Geometric Vector Perceptrons.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Learning from Protein Structure with Geometric Vector Perceptrons

Reference 40

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This paper cites Joshi, Cristian Bodnar, Simon V.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Joshi, Cristian Bodnar, Simon V

Reference 41

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Observation 59342f30-4bbe-40be-8a90-ea466259bf9d · outbound

This paper cites Highly accurate protein structure prediction with alphafold.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Highly accurate protein structure prediction with alphafold

Reference 42

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This paper cites Directional message passing for molecular graphs.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Directional message passing for molecular graphs

Reference 43

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This paper cites On the generalization of equivariance and convolution in neural networks to the action of compact groups.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules On the generalization of equivariance and convolution in neural networks to the action of compact groups

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:47.566501Z

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Observation 855c7ef0-c7a9-4195-b511-e28b6e916b8c · outbound

This paper cites Unbiased stochastic proximal solver for graph neural networks with equilibrium states.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Unbiased stochastic proximal solver for graph neural networks with equilibrium states

Reference 45

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Observation 338cb7a0-c5f7-4d1d-8ebe-11f65a3c64d0 · outbound

This paper cites Scalable and effective implicit graph neural networks on large graphs.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Scalable and effective implicit graph neural networks on large graphs

Reference 46

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Observation ab4aaa77-7604-427a-b963-a7f402fc644c · outbound

This paper cites Mgnni: Multiscale graph neural networks with implicit layers.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Mgnni: Multiscale graph neural networks with implicit layers

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:47.540472Z

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Observation 588d85f6-1dc7-4f93-8105-b86c5a2c5625 · outbound

This paper cites Spherical message passing for 3d molecular graphs.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Spherical message passing for 3d molecular graphs

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:47.530746Z

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Observation e0393739-b613-453a-b09d-968256fec0f8 · outbound

This paper cites Dssr: an integrated software tool for dissecting the spatial structure of rna.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Dssr: an integrated software tool for dissecting the spatial structure of rna

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:47.521445Z

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Observation 15dc8a8d-da3b-44f9-89f5-979deb2a2f2a · outbound

This paper cites Enhancing graph transformers with hierarchical distance structural encoding.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Enhancing graph transformers with hierarchical distance structural encoding

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:47.512573Z

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Observation dac6ea7d-3b11-4678-8147-cb89c12f3212 · outbound

This paper cites Transformers over directed acyclic graphs.Advances in Neural Information Processing Systems, 36:47764–47782, 2023.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Transformers over directed acyclic graphs.Advances in Neural Information Processing Systems, 36:47764–47782, 2023

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:47.503313Z

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Observation 99d56a26-3f5f-47d5-bb4e-5a6085e9d5e9 · outbound

This paper cites Role of solvent accessibility for aggregation-prone patches in protein folding.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Role of solvent accessibility for aggregation-prone patches in protein folding

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:47.493532Z

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Observation 627c8a89-c46a-44f9-b415-e00cfd051457 · outbound

This paper cites SE(3)-hyena operator for scalable equivariant learning, 2024.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules SE(3)-hyena operator for scalable equivariant learning, 2024

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:47.482931Z

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Observation 0835acae-6dd1-4968-ad25-8bf7dcb2fd77 · outbound

This paper cites Revisiting over-smoothing and over-squashing using ollivier-ricci curvature.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Revisiting over-smoothing and over-squashing using ollivier-ricci curvature

Reference 54

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Observation 1f5f8b37-f895-4e16-901e-4c8d53c90eb6 · outbound

This paper cites Bridging biomolecular modalities for knowledge transfer in bio-language models.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Bridging biomolecular modalities for knowledge transfer in bio-language models

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:47.467142Z

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Observation 4eefd683-6352-48ee-b5b1-39d3856f4df1 · outbound

This paper cites Recipe for a General, Powerful, Scalable Graph Transformer.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Recipe for a General, Powerful, Scalable Graph Transformer

Reference 56

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Observation 183b9da3-3ef4-4806-b01c-96e7ad0cd64f · outbound

This paper cites mrna-based therapeutics—developing a new class of drugs.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules mrna-based therapeutics—developing a new class of drugs

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:47.451744Z

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Observation 6f742132-6140-4c33-9ba7-e8b16b00dad5 · outbound

This paper cites E (n) equivariant graph neural networks.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules E (n) equivariant graph neural networks

Reference 58

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This paper cites Schnet: A continuous-filter convolutional neural network for modeling quantum interactions.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Schnet: A continuous-filter convolutional neural network for modeling quantum interactions

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:47.436762Z

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Observation 18fb7f4e-7977-4286-b77f-a0391a950e95 · outbound

This paper cites Equivariant message passing for the prediction of tensorial properties and molecular spectra.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Equivariant message passing for the prediction of tensorial properties and molecular spectra

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:47.427879Z

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Observation 0e6997fe-6a9e-4ff1-95b5-1a9f1cd83892 · outbound

This paper cites Accurate RNA 3D structure prediction using a language model-based deep learning approach.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Accurate RNA 3D structure prediction using a language model-based deep learning approach

Reference 61

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Observation f931633d-40d3-4adf-94e7-532a97de485e · outbound

This paper cites Environment and exposure to solvent of protein atoms.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Environment and exposure to solvent of protein atoms

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:47.419434Z

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This paper cites Rna structural dynamics as captured by molecular simulations: a comprehensive overview.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Rna structural dynamics as captured by molecular simulations: a comprehensive overview

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:47.411193Z

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This paper cites Accelerating bayesian optimization for biological sequence design with denoising autoencoders.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Accelerating bayesian optimization for biological sequence design with denoising autoencoders

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:47.402793Z

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Observation b9b82fda-f93d-4ea5-b485-060eb2014855 · outbound

This paper cites Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:45.465877Z

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This paper cites Where did the gap go? reassessing the long-range graph benchmark.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Where did the gap go? reassessing the long-range graph benchmark

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:47.393886Z

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Observation cf6f1981-86ac-49da-bffa-8c3501f8f9b4 · outbound

This paper cites Geometric deep learning of rna structure.Science, 373(6558):1047– 1051, 2021.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Geometric deep learning of rna structure.Science, 373(6558):1047– 1051, 2021

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:47.384085Z

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Observation 6bbdadbe-130f-48ef-90f1-27eae67a132f · outbound

This paper cites Evaluating and learning from rna pseudotorsional space: quantitative validation of a reduced representation for rna structure.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Evaluating and learning from rna pseudotorsional space: quantitative validation of a reduced representation for rna structure

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:47.375827Z

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Observation 47c958a1-2597-4cb8-a7cd-09317365ef7b · outbound

This paper cites Deep learning models for predicting rna degradation via dual crowdsourcing.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Deep learning models for predicting rna degradation via dual crowdsourcing

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:47.366655Z

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Observation 1181f829-1ab7-4199-9da7-40fe157cc8a4 · outbound

This paper cites Nodeformer: A scalable graph structure learning transformer for node classification.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Nodeformer: A scalable graph structure learning transformer for node classification

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:47.357278Z

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Observation bf775884-ec8b-4b47-943c-8241cf04dac6 · outbound

This paper cites Sgformer: Simplifying and empowering transformers for large-graph representations.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Sgformer: Simplifying and empowering transformers for large-graph representations

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:47.348141Z

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Observation af5a8694-4294-4f76-8664-ae9ede8d343a · outbound

This paper cites Representing long-range context for graph neural networks with global attention.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Representing long-range context for graph neural networks with global attention

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:47.339334Z

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Observation adb846ec-2e30-4b7d-9e29-b96a4589568a · outbound

This paper cites A comprehensive survey on graph neural networks.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules A comprehensive survey on graph neural networks

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:47.329737Z

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Observation 4b5abb4b-300f-422d-9c05-2a89f00a9513 · outbound

This paper cites Harmony: A multi-representation framework for rna property prediction.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Harmony: A multi-representation framework for rna property prediction

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:47.319436Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation db91171b-dfcd-4088-bcca-df6b65826ad8 · outbound

This paper cites Beyond sequence: Impact of geometric context for RNA property prediction.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Beyond sequence: Impact of geometric context for RNA property prediction

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:47.309859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ceda982a-447f-45dd-8beb-fa5be18a335d · outbound

This paper cites HELM: Hierarchical Encoding for mRNA Language Modeling.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules HELM: Hierarchical Encoding for mRNA Language Modeling

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:46.158613Z

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Observation 69a8549a-8c74-4142-8489-3fe7e27f4118 · outbound

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

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Do transformers really perform badly for graph representation? Advances in neural information processing systems, 34:28877–28888, 2021

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:47.242324Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0d5178cd-dac8-4110-aecc-d75815e005f6 · outbound

This paper cites Improving equivariant graph neural networks on large geometric graphs via virtual nodes learning.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Improving equivariant graph neural networks on large geometric graphs via virtual nodes learning

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:14:46.965413Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 55dfce3c-f726-48ad-bdf7-e08dd5c7c7ab · outbound

This paper cites Long-Range.

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Long-Range

Reference 79

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Source-reported events for the cited work

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