Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T18:02:52.520522Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2412.08310.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T18:02:52.520522Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
27 of 27 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 7bb39287-d058-49ff-9ed0-a84054a8a0be · outbound
Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs without Message Passing Beyond homophily in graph neural networks: Current limitations and effective designs
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 352b8467-7689-4cf2-b172-7688987aed8d · outbound
Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs without Message Passing Graph Neural Networks for Graphs with Heterophily: A Survey
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76a08507-4c53-4f2d-be0c-f4d9f6044e88 · outbound
Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs without Message Passing Es-gnn: Generalizing graph neural networks beyond homophily with edge splitting
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation fce212f0-e81e-40d3-85af-aabe941c6de0 · outbound
Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs without Message Passing Revisiting heterophily for graph neural networks
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b09435bf-d5d5-4c8e-b3b4-2cbb881241c8 · outbound
Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs without Message Passing Is homophily a necessity for graph neural networks? In The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a1f2740a-7766-4d95-8faf-c31d496a32bd · outbound
Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs without Message Passing Graph-MLP: Node Classification without Message Passing in Graph
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37868d39-01ef-48fa-aa96-00cdc5b3db68 · outbound
Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs without Message Passing Graph attention retrospective
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation afc9e4c9-9a1e-485b-a116-be0c038b509d · outbound
Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs without Message Passing Kipf and Max Welling
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0791b9cb-d8ba-4733-8a0d-ef43305eb12c · outbound
Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs without Message Passing Souza Jr., Tianyi Zhang, Christopher Fifty, Tao Yu, and Kilian Q
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a9a48f49-62a7-4481-aaa3-327737ce36cd · outbound
Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs without Message Passing Graph attention networks
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c5adfd24-55c4-4444-bbba-1dba428a14c5 · outbound
Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs without Message Passing Hamilton, Zhitao Ying, and Jure Leskovec
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 603fd9c5-5d24-485f-baf4-37139f1c632b · outbound
Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs without Message Passing Schaub, and Danai Koutra
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1c823543-5e25-4631-bb56-208602596d6c · outbound
Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs without Message Passing Unresolved cited work
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0897f678-d477-4291-b866-08b4276fc010 · outbound
Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs without Message Passing MixHop: Higher-order graph convolutional architectures via sparsified neighborhood mixing
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3a881136-290b-4d2e-bf6f-f8565eaed863 · outbound
Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs without Message Passing Two sides of the same coin: Heterophily and oversmoothing in graph convolutional neural networks
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4f9829d7-728b-4f7f-89dd-c59de0c01e28 · outbound
Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs without Message Passing Adaptive universal generalized pagerank graph neural network
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5a5e5c65-8fb6-49fa-abfa-7d93e9fddf58 · outbound
Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs without Message Passing Neighborhood pattern is crucial for graph convolutional networks performing node classification
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc596517-8027-43ab-8145-3f06ce80888c · outbound
Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs without Message Passing Label-wise graph convolutional network for heterophilic graphs
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c7eb5e3c-21ea-4d1b-b1de-5b39332400e7 · outbound
Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs without Message Passing GBK-GNN: gated bi-kernel graph neural networks for modeling both homophily and heterophily
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation deca33eb-8a87-4a92-bb3c-987c97d8ba44 · outbound
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1f570b9f-844d-4a53-9009-7c419231ce5e · outbound
Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs without Message Passing Large scale learning on non-homophilous graphs: New benchmarks and strong simple methods
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9620462c-3c2b-4205-a124-519183a5e3c6 · outbound
Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs without Message Passing Geom-GCN: Geometric graph convolutional networks
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7d9d63a7-5a39-41b7-81ef-02fbc875f100 · outbound
Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs without Message Passing Large scale learning on non-homophilous graphs: New benchmarks and strong simple methods
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7b0be902-b0ef-4ebc-9262-ecb7f118eace · outbound
Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs without Message Passing Characteriz- ing graph datasets for node classification: Homophily-heterophily dichotomy and beyond
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 437dfa2c-df45-4757-b59f-ef6462ec0b6b · outbound
Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs without Message Passing Collective classification in network data
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6202044c-e955-4824-ba68-3d04d7cb921d · outbound
Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs without Message Passing Unresolved cited work
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation db326944-fd5f-4832-8e40-da0fcc52bce8 · outbound
Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs without Message Passing Pitfalls of Graph Neural Network Evaluation
Reference 27
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.