FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs | Paper Citation Record

Observation d62351a2-0bcd-4207-aa43-410a169d8df6 · outbound

This paper cites Mixhop: Higher-order graph convolutional architectures via sparsified neighborhood mixing.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Mixhop: Higher-order graph convolutional architectures via sparsified neighborhood mixing

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.470639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f318936b-5805-451f-9d18-48c0489ee11e · outbound

This paper cites Personalized subgraph federated learning.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Personalized subgraph federated learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.476877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc1582fd-26f9-469c-840c-71fa2a7c7d36 · outbound

This paper cites Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.482101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f91e9ad-c4a6-434b-9650-56fa0d6be7f7 · outbound

This paper cites Node classification in social networks.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Node classification in social networks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.487601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b52c5b05-e966-4fa0-8c51-f3b62845bddb · outbound

This paper cites Fast unfolding of communities in large networks.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Fast unfolding of communities in large networks

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.492753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e665ca29-5752-4871-b36b-48755fde7997 · outbound

This paper cites Beyond low-frequency information in graph convolutional networks.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Beyond low-frequency information in graph convolutional networks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.497792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fc0c772-3ca8-4521-b31a-b695db337399 · outbound

This paper cites Geometric deep learning: going beyond euclidean data.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Geometric deep learning: going beyond euclidean data

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.503731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9405afc9-0e20-4487-90d9-6eaeb04fa364 · outbound

This paper cites FedGL: Federated Graph Learning Framework with Global Self-Supervision.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs FedGL: Federated Graph Learning Framework with Global Self-Supervision

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.508953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b7241f6-eb9d-46ba-8d8e-83b47ae5c677 · outbound

This paper cites Fede: Embedding knowledge graphs in federated setting.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Fede: Embedding knowledge graphs in federated setting

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.514158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dcf487e-ebe6-4fce-8ea8-03368e6b8c18 · outbound

This paper cites Iterative deep graph learning for graph neural networks: Better and robust node embeddings.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Iterative deep graph learning for graph neural networks: Better and robust node embeddings

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.520854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e877e200-fa5c-4402-8018-53bc04d8a08d · outbound

This paper cites Adaptive Universal Generalized PageRank Graph Neural Network.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Adaptive Universal Generalized PageRank Graph Neural Network

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.525752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ceadb40-707d-4324-b5c0-dedfe2fc326c · outbound

This paper cites Grapheditor: An efficient graph representation learning and unlearning approach.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Grapheditor: An efficient graph representation learning and unlearning approach

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.530959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc84ba6e-3d6d-4d99-8d31-1dd2237d68a2 · outbound

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

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.536560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3609b4bc-2b88-4e7d-be20-3e9ff54a913b · outbound

This paper cites Benchmarking graph neural networks.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Benchmarking graph neural networks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.541778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a588db2-d0d1-4e19-93b5-d9e2f2300443 · outbound

This paper cites Fairness through awareness.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Fairness through awareness

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.547785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3e8468f-3e2b-433a-9485-98ab6c608952 · outbound

This paper cites Variational inference for graph convolutional networks in the absence of graph data and adversarial settings.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Variational inference for graph convolutional networks in the absence of graph data and adversarial settings

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.552704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4c51565-d977-4903-8734-eca49f35d440 · outbound

This paper cites Graph neural networks for social recommendation.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Graph neural networks for social recommendation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.558418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da3f2cb9-6410-4d37-b8de-a7c43ead4d00 · outbound

This paper cites Learning discrete structures for graph neural networks.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Learning discrete structures for graph neural networks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.563710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f847109a-1e7d-4482-8e7f-cba0235ceb0b · outbound

This paper cites Federated learning: A signal processing perspective.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Federated learning: A signal processing perspective

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.568569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8baa4750-05fe-40f1-acb3-05df86385c75 · outbound

This paper cites Diffusion improves graph learning.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Diffusion improves graph learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.573414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0e81dea-4101-4af2-be90-ff37988b3f7d · outbound

This paper cites Attribute inference attacks in online social networks.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Attribute inference attacks in online social networks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.579020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ae66680-40fb-46f8-a005-ec2b6675bc3a · outbound

This paper cites SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.583924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59a632e4-662f-49a4-8afd-db026cc30ee2 · outbound

This paper cites Ieee-cis fraud detection, 2019.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Ieee-cis fraud detection, 2019

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.589195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2666fca-5b91-4700-bf5b-6a0018065212 · outbound

This paper cites Semi-supervised learning with graph learning-convolutional networks.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Semi-supervised learning with graph learning-convolutional networks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.594248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99469013-ced7-4e27-8848-c7315384bfa7 · outbound

This paper cites Graph structure learning for robust graph neural networks.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Graph structure learning for robust graph neural networks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.599064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63c46db0-cd12-416c-80e1-413859098955 · outbound

This paper cites Metis: A software package for partitioning unstructured graphs, partitioning meshes, and computing fill-reducing orderings of sparse matrices.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Metis: A software package for partitioning unstructured graphs, partitioning meshes, and computing fill-reducing orderings of sparse matrices

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.604051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac9b2f3d-e5b7-4681-b273-3ac865a02385 · outbound

This paper cites Differentiable graph module (dgm) for graph convolutional networks.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Differentiable graph module (dgm) for graph convolutional networks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.608766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b108c3e2-29a0-41b2-bddf-156972c54fea · outbound

This paper cites How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.613581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c36fafa2-57c2-4f38-9add-dd680df0a9ed · outbound

This paper cites Adam: A Method for Stochastic Optimization.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Adam: A Method for Stochastic Optimization

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.619029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aec2a67d-81ae-4bad-ae24-e9d98a9a9350 · outbound

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

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Semi-Supervised Classification with Graph Convolutional Networks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.623920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2c2a175-cf48-451c-a721-71b262d1c56b · outbound

This paper cites Rethinking graph transformers with spectral attention.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Rethinking graph transformers with spectral attention

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.629755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 730ba1ae-5297-4d27-8e2f-d968696c1fa9 · outbound

This paper cites Federated learning over coupled graphs.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Federated learning over coupled graphs

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:15.323263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4152bbef-7c74-49a6-89cf-14deac79e2b3 · outbound

This paper cites Adaptive graph convolutional neural networks.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Adaptive graph convolutional neural networks

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:15.305243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3a74e2dc-940c-4783-ad14-282b12a87409 · outbound

This paper cites Adaptive graph convolutional neural networks.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Adaptive graph convolutional neural networks

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:15.285947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0ebc8875-5594-45c8-9562-e5e0bde27d72 · outbound

This paper cites Federated learning: Challenges, methods, and future directions.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Federated learning: Challenges, methods, and future directions

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.649958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1e7eefd-7aa8-4ef6-baa0-77318276efd5 · outbound

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

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Finding global homophily in graph neural networks when meeting heterophily

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:15.251917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 62cf55ce-f7a6-4b42-adac-ea720f3468c4 · outbound

This paper cites Gslb: the graph structure learning benchmark.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Gslb: the graph structure learning benchmark

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:15.234922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c9a23602-df46-4b0c-96c4-b0945fefc7b1 · outbound

This paper cites Towards deeper graph neural networks.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Towards deeper graph neural networks

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:15.218097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f5207f3e-591c-4b4c-92bb-c3314a92f7a0 · outbound

This paper cites Federated Graph Neural Networks: Overview, Techniques and Challenges.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Federated Graph Neural Networks: Overview, Techniques and Challenges

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.669071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f86d57e-2b8d-48f4-9332-761698f6470a · outbound

This paper cites Federated graph neural networks: Overview, techniques, and challenges.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Federated graph neural networks: Overview, techniques, and challenges

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:15.200509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 649eeb04-e754-45b2-b985-045e9fd22a74 · outbound

This paper cites Towards unsupervised deep graph structure learning.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Towards unsupervised deep graph structure learning

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:15.183931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 082a03e8-006f-4703-9a08-cfb17aa60905 · outbound

This paper cites Beyond smoothing: Unsupervised graph representation learning with edge heterophily discriminating.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Beyond smoothing: Unsupervised graph representation learning with edge heterophily discriminating

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:15.165516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8715c8f6-fa72-4ff6-9c7b-c655d2915d27 · outbound

This paper cites Egnn: Graph structure learning based on evolutionary computation helps more in graph neural networks.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Egnn: Graph structure learning based on evolutionary computation helps more in graph neural networks

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:15.147250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation de435c30-61ba-4b68-92ad-4ea865ee078d · outbound

This paper cites STFL: A Temporal-Spatial Federated Learning Framework for Graph Neural Networks.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs STFL: A Temporal-Spatial Federated Learning Framework for Graph Neural Networks

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.696199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b50e93b8-5768-4c58-a127-778826983d11 · outbound

This paper cites Revisiting heterophily for graph neural networks.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Revisiting heterophily for graph neural networks

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:15.129532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 86c6ec12-5b3c-458a-8ef2-31f5415e9b9f · outbound

This paper cites Learning to drop: Robust graph neural network via topological denoising.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Learning to drop: Robust graph neural network via topological denoising

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:15.111416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 69e7c928-98c1-4da8-9a53-bec982b850f5 · outbound

This paper cites Learning disentangled representations for recommendation.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Learning disentangled representations for recommendation

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:15.093040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9f34ca23-21b5-497f-94d8-86ac03b735e6 · outbound

This paper cites Is Homophily a Necessity for Graph Neural Networks?.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Is Homophily a Necessity for Graph Neural Networks?

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.717271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49e00170-cc7e-4122-9439-02a324b3c502 · outbound

This paper cites Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.722501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63629d99-0ecc-40a0-bd83-e23abb8907ba · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Communication-efficient learning of deep networks from decentralized data

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.728549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5253065-4cb4-441c-b07f-4497d492f3d9 · outbound

This paper cites Sgnn: A graph neural network based federated learning approach by hiding structure.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Sgnn: A graph neural network based federated learning approach by hiding structure

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:15.063601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f7c281b8-ab24-4873-b9bc-7113b628f3aa · outbound

This paper cites Query-driven active surveying for collective classification.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Query-driven active surveying for collective classification

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:15.044347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation eb4fa7b7-7ea9-4887-9703-0a4b73ec6f0b · outbound

This paper cites Cosine similarity metric learning for face verification.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Cosine similarity metric learning for face verification

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:15.026580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 13f3c21d-8e61-4a4d-9cce-6a74e68cbc54 · outbound

This paper cites Netprobe: a fast and scalable system for fraud detection in online auction networks.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Netprobe: a fast and scalable system for fraud detection in online auction networks

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:15.005471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6fd70857-d770-4444-b7c4-348395433cc9 · outbound

This paper cites Differentially private federated knowledge graphs embedding.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Differentially private federated knowledge graphs embedding

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:14.988729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 26af0bcf-ddf4-4fdb-a9c5-ad1883fb407c · outbound

This paper cites Multi-scale attributed node embedding.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Multi-scale attributed node embedding

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.761281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d298d79-b119-4690-8b13-07bb3684e150 · outbound

This paper cites The graph neural network model.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs The graph neural network model

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.767702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a77a762b-8fae-4222-904f-b302f5f5b687 · outbound

This paper cites Collective classification in network data.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Collective classification in network data

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.773014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec2abb04-1853-49a1-b69f-8f609432945a · outbound

This paper cites Graph neural networks in particle physics.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Graph neural networks in particle physics

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:14.930994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 983f4930-aa17-45bc-b2bb-4b9dcb7aa7e8 · outbound

This paper cites Graph structure learning with variational information bottleneck.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Graph structure learning with variational information bottleneck

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:14.912064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3743365c-ebfb-49b0-9fb8-6105b3b10f1e · outbound

This paper cites Breaking the limit of graph neural networks by improving the assortativity of graphs with local mixing patterns.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Breaking the limit of graph neural networks by improving the assortativity of graphs with local mixing patterns

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:14.891929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d73dc56d-79c5-46cd-ac4c-ceb91fd6c4b5 · outbound

This paper cites Federated learning on non-iid graphs via structural knowledge sharing.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Federated learning on non-iid graphs via structural knowledge sharing

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:14.875083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8aeb098b-58aa-4b8d-9d5a-042b58d20c98 · outbound

This paper cites Social influence analysis in large-scale networks.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Social influence analysis in large-scale networks

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:14.858940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 80d46e46-560c-4b6a-8f0d-d78a5df6a70a · outbound

This paper cites Social influence analysis in large-scale networks.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Social influence analysis in large-scale networks

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:14.841100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 57b76378-3eba-44c5-8814-dffa632bcd34 · outbound

This paper cites Graph attention networks.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Graph attention networks

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.808133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 423b1ca8-a64f-470d-b374-09553344f7aa · outbound

This paper cites Confederated learning: Federated learning with decentralized edge servers.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Confederated learning: Federated learning with decentralized edge servers

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:14.813783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 05b8e346-225f-4016-8da9-7c2e024e462a · outbound

This paper cites Am-gcn: Adaptive multi-channel graph convolutional networks.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Am-gcn: Adaptive multi-channel graph convolutional networks

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:14.796650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 697c3bd1-b8f1-49f7-b637-508f16404ab7 · outbound

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

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Nodeformer: A scalable graph structure learning transformer for node classification

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:14.780316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2355882e-ad2f-4745-b4cc-51dc3f0a8f0d · outbound

This paper cites Session-based recommendation with graph neural networks.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Session-based recommendation with graph neural networks

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.829168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75d93774-b092-4c4c-94ad-601ed516b7b2 · outbound

This paper cites Graph information bottleneck.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Graph information bottleneck

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:14.750629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation eab25bc4-1928-4b62-9306-277b498717fc · outbound

This paper cites A comprehensive survey on graph neural networks.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs A comprehensive survey on graph neural networks

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:14.735204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6b03066f-1e63-43d9-9c84-ce3dd03ad5ff · outbound

This paper cites Graph learning: A survey.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Graph learning: A survey

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.844733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87485a30-b5f6-4786-981c-1d34ac2ff780 · outbound

This paper cites Graph neural networks in node classification: survey and evaluation.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Graph neural networks in node classification: survey and evaluation

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.849874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f64f4174-7711-4166-b8e3-bf456626307a · outbound

This paper cites Federated graph classification over non-iid graphs.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Federated graph classification over non-iid graphs

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:14.699743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a47baa0d-4129-4f88-8a69-12e4ff430d4b · outbound

This paper cites Federated node classification over graphs with latent link-type heterogeneity.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Federated node classification over graphs with latent link-type heterogeneity

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:14.682912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bac83556-4089-4fd2-a2b3-17ac92db07c8 · outbound

This paper cites How Powerful are Graph Neural Networks?.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs How Powerful are Graph Neural Networks?

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.868896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 044e4887-ecec-45e5-8198-d75fea9c4e8f · outbound

This paper cites Representation learning on graphs with jumping knowledge networks.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Representation learning on graphs with jumping knowledge networks

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:14.665637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 07a3ff2a-4c9c-4894-9edd-1cd9ca58661c · outbound

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

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Two sides of the same coin: Heterophily and oversmoothing in graph convolutional neural networks

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:14.644748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b4e2565a-43eb-4a10-a3a4-4369ed17b90f · outbound

This paper cites Diverse message passing for attribute with heterophily.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Diverse message passing for attribute with heterophily

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.884628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8b42fb3-0579-4075-89a9-1a003fb0786d · outbound

This paper cites Graph pointer neural networks.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Graph pointer neural networks

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:14.617282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5053212d-3267-4825-8626-c17b619e4f0f · outbound

This paper cites Revisiting semi-supervised learning with graph embeddings.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Revisiting semi-supervised learning with graph embeddings

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.894875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 507ec9de-4c53-40b1-893b-e46bf1528607 · outbound

This paper cites Fedfm: Anchor-based feature matching for data heterogeneity in federated learning.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Fedfm: Anchor-based feature matching for data heterogeneity in federated learning

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:14.591582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7b83cc7b-41ff-470e-b07e-692d907de12c · outbound

This paper cites The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:14.575461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c58abc3d-ecbc-4b06-abcf-820191ea936c · outbound

This paper cites Graph convolutional neural networks for web-scale recommender systems.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Graph convolutional neural networks for web-scale recommender systems

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.910160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9651be05-dd10-4353-8566-3f6499639d3c · outbound

This paper cites Graph-revised convolutional network.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Graph-revised convolutional network

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:14.548425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d61301b9-f4d5-4573-8468-6eb1e6114987 · outbound

This paper cites Explainability in graph neural networks: A taxonomic survey.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Explainability in graph neural networks: A taxonomic survey

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.920356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58934daf-2ed1-4ced-8506-af569cbf50bd · outbound

This paper cites GraphSAINT: Graph Sampling Based Inductive Learning Method.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs GraphSAINT: Graph Sampling Based Inductive Learning Method

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.925104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c862091-b11b-43b3-be2d-dd6694c48024 · outbound

This paper cites Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation

Reference 88

Resolution: verified exact; local_arxiv, observed 2026-08-16T05:16:14.110220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b5471591-2d9a-4fa7-8b86-92c70a43ed25 · outbound

This paper cites Subgraph federated learning with missing neighbor generation.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Subgraph federated learning with missing neighbor generation

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:14.519305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 701c0198-665e-4a70-b557-95a064221204 · outbound

This paper cites Bayesian graph convolutional neural networks for semi-supervised classification.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Bayesian graph convolutional neural networks for semi-supervised classification

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:14.501219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e7f6c23b-ae1a-413e-8ba1-48e32c3c2a38 · outbound

This paper cites Heterogeneous graph structure learning for graph neural networks.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Heterogeneous graph structure learning for graph neural networks

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:14.483021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 043d7b96-f705-4074-86e1-069be40719de · outbound

This paper cites Data augmentation for graph neural networks.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Data augmentation for graph neural networks

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:14.466459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 637e76b2-dcbf-42fe-9589-17022802b485 · outbound

This paper cites GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.958671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5866476-ba34-41c6-81d8-e4cf058bd049 · outbound

This paper cites Asfgnn: Automated separated-federated graph neural network.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Asfgnn: Automated separated-federated graph neural network

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:14.450652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 96bf75a0-89d3-4d51-86c5-7dfd8ea5834c · outbound

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

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Graph Neural Networks for Graphs with Heterophily: A Survey

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.968970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e1dbfac-23ff-4eaf-a677-43826626f431 · outbound

This paper cites Finding the missing-half: Graph complementary learning for homophily-prone and heterophily-prone graphs.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Finding the missing-half: Graph complementary learning for homophily-prone and heterophily-prone graphs

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:14.434084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ae5d752c-c929-4a8c-8de8-2259a1f9ca40 · outbound

This paper cites Graph neural networks: A review of methods and applications.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Graph neural networks: A review of methods and applications

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.979652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f0613b2-b2e7-48e9-8356-c598f07fa79e · outbound

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

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Beyond homophily in graph neural networks: Current limitations and effective designs

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.984852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f243fcbe-b7c3-4c4d-83fd-1f2185e82da9 · outbound

This paper cites Mixedad: A scalable algorithm for detecting mixed anomalies in attributed graphs.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Mixedad: A scalable algorithm for detecting mixed anomalies in attributed graphs

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:16:14.396916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0cf73341-ff69-4e9a-a4b4-878be7babf38 · outbound

This paper cites AliGraph: A Comprehensive Graph Neural Network Platform.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs AliGraph: A Comprehensive Graph Neural Network Platform

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.994351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers