Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement | Paper Citation Record

Observation 67464bd9-51e9-4640-9d03-397e515783e7 · outbound

This paper cites A Note on Over-Smoothing for Graph Neural Networks.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement A Note on Over-Smoothing for Graph Neural Networks

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:19.346482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 582652a8-4623-44a9-94ca-ed1fc941785c · outbound

This paper cites Grand: Graph neural diffusion.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Grand: Graph neural diffusion

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:19.437323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5edb9dbd-8f6f-47b2-8e8f-a222591ccc96 · outbound

This paper cites Graph coarsening: from scientific computing to machine learning.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Graph coarsening: from scientific computing to machine learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:19.581382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 334be713-b9ab-49f4-bbbe-6e57d2c90d16 · outbound

This paper cites Optimization-induced graph implicit nonlinear diffusion.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Optimization-induced graph implicit nonlinear diffusion

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:19.700393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5a8f95c-c1d7-4d22-a96c-9812f0ed1e90 · outbound

This paper cites A gromov- W asserstein geometric view of spectrum-preserving graph coarsening.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement A gromov- W asserstein geometric view of spectrum-preserving graph coarsening

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:19.836094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fa63e75-5325-4ee1-8300-bcda66b7762f · outbound

This paper cites Adaptive universal generalized pagerank graph neural network.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Adaptive universal generalized pagerank graph neural network

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:19.980347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 046fc28d-096a-40ad-b437-b6070b82194d · outbound

This paper cites Spectral Graph Theory , volume 92.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Spectral Graph Theory , volume 92

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:20.126168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3d1b60f-dbf7-4b87-8284-c12c28ac66fe · outbound

This paper cites Elements of information theory.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Elements of information theory

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:20.306523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0089d3d-4055-4022-b9cd-be9cae4e1b29 · outbound

This paper cites Re-think and re-design graph neural networks in spaces of continuous graph diffusion functionals.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Re-think and re-design graph neural networks in spaces of continuous graph diffusion functionals

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:20.424611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a71176a-b558-46f5-8017-b4ea9b4e8939 · outbound

This paper cites Halappanavar, Edoardo Serra, and Alex Pothen.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Halappanavar, Edoardo Serra, and Alex Pothen

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:20.541826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82882b04-d981-4c62-9991-8843a6078736 · outbound

This paper cites Polynormer: Polynomial-expressive graph transformer in linear time.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Polynormer: Polynomial-expressive graph transformer in linear time

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:20.648127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 166e7ff9-c6eb-4249-b252-1b0cc9860873 · outbound

This paper cites Graph coarsening via convolution matching for scalable graph neural network training.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Graph coarsening via convolution matching for scalable graph neural network training

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:20.757139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32b20e6e-658c-467c-b04f-7a8b0c41d25f · outbound

This paper cites an unresolved cited work.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:20.842196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad82b09a-a195-4055-a2c8-4fc5525a5247 · outbound

This paper cites Pde-gcn: Novel architectures for graph neural networks motivated by partial differential equations.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Pde-gcn: Novel architectures for graph neural networks motivated by partial differential equations

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:20.926134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80d4c959-b82d-40cf-ba1f-497f97f525b4 · outbound

This paper cites Faster graph embeddings via coarsening.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Faster graph embeddings via coarsening

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:21.021591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e9294b1-9b0d-4735-8926-8d35a3ce5a0b · outbound

This paper cites Implicit graph neural diffusion based on constrained dirichlet energy minimization.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Implicit graph neural diffusion based on constrained dirichlet energy minimization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:21.122171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a55a8b14-6f16-45c3-acba-02acf9c0de8d · outbound

This paper cites Bronstein.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Bronstein

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:21.172855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40037a1a-69f8-4399-b7a1-ee854666abce · outbound

This paper cites A Survey on Learning from Graphs with Heterophily: Recent Advances and Future Directions.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement A Survey on Learning from Graphs with Heterophily: Recent Advances and Future Directions

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:21.258312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a062cb5d-40f2-454c-ae0b-c14dfdc07eea · outbound

This paper cites Scalable graph condensation with evolving capabilities.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Scalable graph condensation with evolving capabilities

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:21.309500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6684dd35-a48d-4afa-8795-7f326b31c109 · outbound

This paper cites From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:21.387518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7e25632-62d6-42aa-b406-204b69475586 · outbound

This paper cites Aditya Prakash, and Wei Jin.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Aditya Prakash, and Wei Jin

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:21.473341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d40d311a-3858-4985-a8e1-7ce5d60695ae · outbound

This paper cites Open graph benchmark: Datasets for machine learning on graphs.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Open graph benchmark: Datasets for machine learning on graphs

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:21.585961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04722bd4-c9b6-49d0-8e9a-c1d065cb0f8e · outbound

This paper cites Scaling up graph neural networks via graph coarsening.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Scaling up graph neural networks via graph coarsening

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:21.730385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de222d8a-ecc8-4d2a-b1c2-2a825d9e2f76 · outbound

This paper cites Graph condensation for graph neural networks.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Graph condensation for graph neural networks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:21.873669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5d1ee6a-aa1e-44e3-bc73-76c43043704b · outbound

This paper cites Graph coarsening with preserved spectral properties.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Graph coarsening with preserved spectral properties

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:22.006682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab6614ca-c23e-4913-8d26-86d060921636 · outbound

This paper cites Graph Coarsening with Message-Passing Guarantees.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Graph Coarsening with Message-Passing Guarantees

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:22.173162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7cc6264-b47d-4b31-ad4c-8899667c3ef5 · outbound

This paper cites Ugc: Universal graph coarsening.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Ugc: Universal graph coarsening

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:22.353985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf442f8c-c9f8-4c25-a3cd-74b0b3d483f3 · outbound

This paper cites Multi-task learning using uncertainty to weigh losses for scene geometry and semantics.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Multi-task learning using uncertainty to weigh losses for scene geometry and semantics

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:22.512965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7da9128f-a5f1-4e2d-9dea-7e483d647dbe · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Adam: A Method for Stochastic Optimization

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:22.625478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f99dbcd2-13fd-4a4e-986c-08abc8b71f8a · outbound

This paper cites Kipf and Max Welling.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Kipf and Max Welling

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:22.717919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8659e7f9-13f7-4165-a7ec-8d418d3b4fb8 · outbound

This paper cites A unified framework for optimization-based graph coarsening.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement A unified framework for optimization-based graph coarsening

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:22.827301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e757268-dd1c-43e3-b8fa-bb3d5b3836f4 · outbound

This paper cites Featured graph coarsening with similarity guarantees.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Featured graph coarsening with similarity guarantees

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:22.892731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 344039d4-881f-4a4d-8fa3-4ff6257f48de · outbound

This paper cites Finding global homophily in graph neural networks when meeting heterophily.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Finding global homophily in graph neural networks when meeting heterophily

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:23.081211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f93c2413-4f80-4651-a728-66a34bc2ec13 · outbound

This paper cites Large scale learning on non-homophilous graphs: New benchmarks and strong simple methods.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Large scale learning on non-homophilous graphs: New benchmarks and strong simple methods

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:23.245812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc06e17d-5fb1-4eb2-9b3e-6263a2c917c5 · outbound

This paper cites Graph summarization methods and applications: A survey.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Graph summarization methods and applications: A survey

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:23.335152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fe0f442-4beb-446f-94d9-868e1516312b · outbound

This paper cites Spectrally approximating large graphs with smaller graphs.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Spectrally approximating large graphs with smaller graphs

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:23.517521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation deb85a26-1d57-4d9d-af22-76e3c5edecee · outbound

This paper cites The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:23.675195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77e1801b-dc0a-4e8e-94f2-b5c60692d3ee · outbound

This paper cites A fractional graph laplacian approach to oversmoothing.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement A fractional graph laplacian approach to oversmoothing

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:23.820167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 632485e8-88e6-442c-9c76-f4191143df11 · outbound

This paper cites an unresolved cited work.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:23.895980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a52299e-da00-4a0a-99e9-be083b865da8 · outbound

This paper cites Perona and J.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Perona and J

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:24.021539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a8be85f-3511-4437-8a3c-f5c216c3b7d5 · outbound

This paper cites A critical look at the evaluation of GNN s under heterophily: Are we really making progress? In International Conference on Learning Representations, 2023.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement A critical look at the evaluation of GNN s under heterophily: Are we really making progress? In International Conference on Learning Representations, 2023

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:24.127720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f75a0101-f497-487f-b0d1-f54bd896e142 · outbound

This paper cites Aditya Prakash, Chanhyun Kang, Yao Zhang, and V.S.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Aditya Prakash, Chanhyun Kang, Yao Zhang, and V.S

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:24.241847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0b3f441-0862-4ecd-8bb5-78a5837a2386 · outbound

This paper cites Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:24.361104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fed0015-8486-462c-bea1-9f724dbc0f78 · outbound

This paper cites an unresolved cited work.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Unresolved cited work

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:24.541210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6623d33-4c8f-40e0-98c9-5e572d3b28a1 · outbound

This paper cites A Survey on Oversmoothing in Graph Neural Networks.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement A Survey on Oversmoothing in Graph Neural Networks

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:24.661666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d8edef5-4a4d-4e11-9bc6-bbb163121961 · outbound

This paper cites Scalable graph neural network training: The case for sampling.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Scalable graph neural network training: The case for sampling

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:24.836278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f7172e7-ec40-43db-8458-865621964cba · outbound

This paper cites Graph attention networks.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Graph attention networks

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:24.995480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b4fd53c-9cb7-4b0c-a803-3085160da7e8 · outbound

This paper cites an unresolved cited work.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Unresolved cited work

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:25.149245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53dacdfa-98dd-43d9-8e7f-8a7888029b8d · outbound

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

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Sgformer: Simplifying and empowering transformers for large-graph representations

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:25.372674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3789f2ae-9a62-45ec-b4f6-553de3b5cfe5 · outbound

This paper cites Graph coarsening via supervised granular-ball for scalable graph neural network training.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Graph coarsening via supervised granular-ball for scalable graph neural network training

Reference 51

Resolution: verified exact; doi, observed 2026-08-01T06:33:25.541460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7df88939-b30f-40f0-8c31-a1dd24b9bafd · outbound

This paper cites Two sides of the same coin: Heterophily and oversmoothing in graph convolutional neural networks.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Two sides of the same coin: Heterophily and oversmoothing in graph convolutional neural networks

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:25.630408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b20814a-8545-4b30-ae75-7a232fee9c68 · outbound

This paper cites A survey on multi-task learning.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement A survey on multi-task learning

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:25.755811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dde2a014-b07f-4290-9f23-34ff7b11c136 · outbound

This paper cites Graph Neural Networks for Graphs with Heterophily: A Survey.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Graph Neural Networks for Graphs with Heterophily: A Survey

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:25.883847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 305a52d9-c06a-47d7-bfc7-aba8b4a9ce15 · outbound

This paper cites Beyond homophily in graph neural networks: Current limitations and effective designs.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Beyond homophily in graph neural networks: Current limitations and effective designs

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:26.185361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31dfa6c5-ecb9-4ba3-b78f-4c4add77c391 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , author=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Proceedings of the AAAI Conference on Artificial Intelligence , author=

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:26.499112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8becf0ab-5c5f-4a32-a0bf-04fe07574246 · outbound

This paper cites 2020 , isbn =.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement 2020 , isbn =

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:26.626262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f587add-8332-4cd2-810f-f643638c7828 · outbound

This paper cites 2021 , eprint=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement 2021 , eprint=

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:26.773859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 267dc409-d19d-4c77-bece-5c6b16ff83bb · outbound

This paper cites 2023 , eprint=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement 2023 , eprint=

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:26.915845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a40eb9f9-7692-48a0-841d-75d280ac8be3 · outbound

This paper cites 2024 , eprint=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement 2024 , eprint=

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:27.075070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd300021-5858-4bbd-ae88-a8fe87361029 · outbound

This paper cites 2023 , eprint=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement 2023 , eprint=

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:27.221537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 706f4f39-94b7-475d-b11a-f721738bbc95 · outbound

This paper cites ICML , year=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement ICML , year=

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:27.311029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aea32836-c49c-48f5-a9fa-bf4996653e63 · outbound

This paper cites Proceedings of the 2023 SIAM International Conference on Data Mining (SDM) , publisher=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Proceedings of the 2023 SIAM International Conference on Data Mining (SDM) , publisher=

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:27.414143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49c1e09b-32a8-4855-83b8-70a602bd5323 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , author=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Proceedings of the AAAI Conference on Artificial Intelligence , author=

Reference 66

Resolution: verified exact; doi, observed 2026-08-01T06:33:24.974627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cb42962e-94bf-4d6c-804c-450ebb234388 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , author=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Proceedings of the AAAI Conference on Artificial Intelligence , author=

Reference 67

Resolution: verified exact; doi, observed 2026-08-01T06:33:24.790108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2da3f2fe-5ab2-4481-ab02-56acaa1f707a · outbound

This paper cites 2023 , eprint=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement 2023 , eprint=

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:27.898559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad1ad098-1e7b-4447-9a78-bb79b8dbafba · outbound

This paper cites PC-Conv: Unifying Homophily and Heterophily with Two-Fold Filtering , url=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement PC-Conv: Unifying Homophily and Heterophily with Two-Fold Filtering , url=

Reference 69

Resolution: verified exact; doi, observed 2026-08-01T06:33:24.641681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d73f1588-61b4-46bd-94eb-745a84b58a92 · outbound

This paper cites 2024 , eprint=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement 2024 , eprint=

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:28.190945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ed8b308-99e1-4853-90fc-73a6cbc99a8b · outbound

This paper cites 2023 , eprint=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement 2023 , eprint=

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:28.336498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a74f6c6-d064-4a53-bc12-44bd492ba124 · outbound

This paper cites 2024 , eprint=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement 2024 , eprint=

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:28.477057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d662b35-2e05-4977-b45e-cebe148803ff · outbound

This paper cites 2017 , eprint=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement 2017 , eprint=

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:28.648347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 070b162c-b0a1-444f-8b23-133c357362a7 · outbound

This paper cites and Bresson, Xavier , title=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement and Bresson, Xavier , title=

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:28.760688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72d785fa-48c6-4c2a-9b74-9062391f1858 · outbound

This paper cites Factorization Machines , year=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Factorization Machines , year=

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:28.924843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5bed093-a8aa-495b-99d0-a1853f4e73a1 · outbound

This paper cites Higher-Order Factorization Machines , url=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Higher-Order Factorization Machines , url=

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:29.105986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50d462ec-6b22-4a28-ad7f-a2c5a38d0267 · outbound

This paper cites Proceedings of the 26th International Joint Conference on Artificial Intelligence , pages=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Proceedings of the 26th International Joint Conference on Artificial Intelligence , pages=

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:29.242049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f22be240-8182-466f-9ab2-db27cc1e3aa0 · outbound

This paper cites 2017 , eprint=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement 2017 , eprint=

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:29.408087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93770403-073c-4bb4-80b1-fc968082ad96 · outbound

This paper cites and Sturmfels, Pascal and Lee, Su-In , title=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement and Sturmfels, Pascal and Lee, Su-In , title=

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:29.554013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e99f2fd9-6b72-444b-b7db-749a4de55be9 · outbound

This paper cites 2020 , isbn=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement 2020 , isbn=

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:29.689685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36f787c9-64ef-4f14-b0ed-34fd6a054084 · outbound

This paper cites 2024 , eprint=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement 2024 , eprint=

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:29.862356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f43daee2-fa99-48c9-a246-84da46a89441 · outbound

This paper cites Aggarwal and Dawei Yin and Jiliang Tang , title=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Aggarwal and Dawei Yin and Jiliang Tang , title=

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:30.030185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76641a9b-6af9-49c2-be7c-e57ff60299ac · outbound

This paper cites The Eleventh International Conference on Learning Representations , year=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement The Eleventh International Conference on Learning Representations , year=

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:30.206306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4f76a50-13a2-48fd-955b-328f37d7355d · outbound

This paper cites Dual Feature Interaction-Based Graph Convolutional Network , year=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Dual Feature Interaction-Based Graph Convolutional Network , year=

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:30.375998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 151f48d5-0eef-4694-814b-a188af90f152 · outbound

This paper cites 2021 , isbn=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement 2021 , isbn=

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:30.525711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a5aff45-0612-47b1-bfa6-16af1cfa5147 · outbound

This paper cites EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks , url=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks , url=

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:30.911207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f92ea83-89b5-4c80-abd5-047bfec009c9 · outbound

This paper cites 2024 , eprint=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement 2024 , eprint=

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:31.104495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e97e7949-547d-460d-b8ba-0f73b28e2005 · outbound

This paper cites Node-Oriented Spectral Filtering for Graph Neural Networks , year=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Node-Oriented Spectral Filtering for Graph Neural Networks , year=

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:31.302979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 544a3b58-2f69-4c5d-b3cc-bef92747cad8 · outbound

This paper cites Graph Neural Networks With Convolutional ARMA Filters , year=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Graph Neural Networks With Convolutional ARMA Filters , year=

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:31.472833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 248c0338-7595-468d-b721-85178027ef6d · outbound

This paper cites , journal=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement , journal=

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:31.633068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a146b25d-3e6b-4c35-85fc-0ea32fc05525 · outbound

This paper cites Rational Neural Networks for Approximating Graph Convolution Operator on Jump Discontinuities , year=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Rational Neural Networks for Approximating Graph Convolution Operator on Jump Discontinuities , year=

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:31.802822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d4b5742-5dcf-489b-8fe2-774b993c217e · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , month =.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , month =

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:31.945850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddd917a9-4621-4ffa-b086-9161e971985a · outbound

This paper cites 2022 , editor=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement 2022 , editor=

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:32.063129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbe06900-e544-40c5-a8ba-dd5256f2e917 · outbound

This paper cites and Fefferman, Robert , year=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement and Fefferman, Robert , year=

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:32.385987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32ff9d52-b638-478a-ba6d-be7448484cbd · outbound

This paper cites International Conference on Learning Representations , year=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement International Conference on Learning Representations , year=

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:32.537391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 326c4ca5-8846-4ac8-a378-a214cd9e423c · outbound

This paper cites an unresolved cited work.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Unresolved cited work

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:32.649962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 945335af-dee9-43f0-a15d-2502f90e0671 · outbound

This paper cites Infinite Impulse Response Graph Filters in Wireless Sensor Networks , year=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Infinite Impulse Response Graph Filters in Wireless Sensor Networks , year=

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:32.776344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f96e4836-a841-4cc8-b5fd-0f3e49a0c27d · outbound

This paper cites Autoregressive Moving Average Graph Filtering , year=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Autoregressive Moving Average Graph Filtering , year=

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:32.906956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b15e8b44-e2ea-420b-be02-7bba6518be5c · outbound

This paper cites Rational Chebyshev Graph Filters , year=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Rational Chebyshev Graph Filters , year=

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:33.010731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 032aac9d-cfbb-435f-af77-259260eada70 · outbound

This paper cites Fourier-Based and Rational Graph Filters for Spectral Processing , year=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Fourier-Based and Rational Graph Filters for Spectral Processing , year=

Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:33.075073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a4c5b2e-20c9-454a-ad4a-0523bcd71259 · outbound

This paper cites Optimal surface smoothing as filter design.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement Optimal surface smoothing as filter design

Reference 103

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:33.238539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92fced29-8b55-4d5d-a08b-8b726b52ebf8 · outbound

This paper cites , booktitle=.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement , booktitle=

Reference 104

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:33.401987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d921d4ec-0bff-4b94-8abd-6c367047ac62 · outbound

This paper cites and Zhi-Quan Luo and Sturm, J.F.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement and Zhi-Quan Luo and Sturm, J.F

Reference 105

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:33.563449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers