Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T15:18:23.788315Z
Paper Citation Record · LEDGER
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation
As of 18 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2412.11180.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
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
Reference resolution
51 of 51 outbound references displayed
- verified exact3
- verified fuzzy35
- unresolved13
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 35887879-f25b-41a5-9cb9-42e3044db97c · outbound
This paper cites Distilhubert: Speech representation learning by layer-wise distillation of hidden-unit bert.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Distilhubert: Speech representation learning by layer-wise distillation of hidden-unit bert
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:18:27.267007Z
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 bbeb55d8-bb2e-448f-99ae-2efa12cc4d6d · outbound
This paper cites Measuring and relieving the over-smoothing problem for graph neural networks from the topological view.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Measuring and relieving the over-smoothing problem for graph neural networks from the topological view
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:18:27.067843Z
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 1a501718-74b2-4a6f-8d3d-271074d17cd0 · outbound
This paper cites On graph neural networks versus graph-augmented mlps.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation On graph neural networks versus graph-augmented mlps
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:18:27.044285Z
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 2c45e650-5563-4785-97d6-8ca44749acf4 · outbound
This paper cites Simple and deep graph convolutional networks.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Simple and deep graph convolutional networks
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:18:27.018404Z
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 3f9c89ff-5434-4254-b080-28e545a63f4e · outbound
This paper cites Graph-free knowledge distillation for graph neural networks.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Graph-free knowledge distillation for graph neural networks
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:18:26.987585Z
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 e0464db3-42d0-4498-931e-97e4b0cead08 · outbound
This paper cites Effective illicit account detection on large cryptocurrency multigraphs.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Effective illicit account detection on large cryptocurrency multigraphs
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:18:26.958064Z
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 335db149-2297-4f7e-b41b-8ed01577149c · outbound
This paper cites Rayleigh quotient graph neural networks for graph-level anomaly detection.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Rayleigh quotient graph neural networks for graph-level anomaly detection
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:18:26.812643Z
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 901d99d9-116b-4d80-a4bd-cef7045721fa · outbound
This paper cites Spacegnn: Multi-space graph neural network for node anomaly detection with extremely limited labels.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Spacegnn: Multi-space graph neural network for node anomaly detection with extremely limited labels
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:18:26.597439Z
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 f9328c73-4a85-4f93-864e-69ab27b908c8 · outbound
This paper cites Smoothgnn: Smoothing-aware gnn for unsupervised node anomaly detection.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Smoothgnn: Smoothing-aware gnn for unsupervised node anomaly detection
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:18:26.569941Z
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 5e373ede-bc9b-41c2-8990-964442df251c · outbound
This paper cites Freekd: Free-direction knowledge distillation for graph neural networks.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Freekd: Free-direction knowledge distillation for graph neural networks
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:18:26.540873Z
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 727d583d-2600-4584-b221-d277727867d4 · outbound
This paper cites Hamilton, Rex Ying, and Jure Leskovec.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Hamilton, Rex Ying, and Jure Leskovec
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:18:26.510495Z
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 55037a33-7eb4-4bb4-a839-b6e63d19e6f7 · outbound
This paper cites Mlpinit: Embarrassingly simple GNN training acceleration with MLP initialization.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Mlpinit: Embarrassingly simple GNN training acceleration with MLP initialization
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:18:26.470788Z
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 675057e2-88b0-4507-96e3-4f6dbde30fdf · outbound
This paper cites Open graph benchmark: Datasets for machine learning on graphs.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Open graph benchmark: Datasets for machine learning on graphs
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:18:22.795138Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 930b5f90-d78c-42c0-9095-429673c09d8a · outbound
This paper cites Graph-MLP: Node Classification without Message Passing in Graph.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Graph-MLP: Node Classification without Message Passing in Graph
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:18:22.806558Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 798dea18-9119-45b9-8609-a344344babd5 · outbound
This paper cites A Comprehensive Survey of Regression Based Loss Functions for Time Series Forecasting.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation A Comprehensive Survey of Regression Based Loss Functions for Time Series Forecasting
Reference 16
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a951d897-434a-4ff0-9671-219789973b9f · outbound
This paper cites Redundancy-free computation for graph neural networks.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Redundancy-free computation for graph neural networks
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:18:26.416172Z
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 8996d4ea-f67d-42c8-8a78-c45341cfa5a5 · outbound
This paper cites Tinybert: Distilling BERT for natural language understanding.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Tinybert: Distilling BERT for natural language understanding
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:18:26.233951Z
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 ecd47cf7-2e4e-4cd8-9908-a3204f266be5 · outbound
This paper cites Kingma and Jimmy Ba.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Kingma and Jimmy Ba
Reference 19
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9d4926d7-0f35-4a57-844e-9d9192678739 · outbound
This paper cites Kipf and Max Welling.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Kipf and Max Welling
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:18:22.853778Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac38aabb-9555-4ffe-932e-3bdb1d6f389b · outbound
This paper cites Predict then propagate: Graph neural networks meet personalized pagerank.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Predict then propagate: Graph neural networks meet personalized pagerank
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:18:26.111921Z
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 af2e3e90-a8cd-4b4a-9705-0cf700ee6270 · outbound
This paper cites Graph-based Knowledge Distillation by Multi-head Attention Network.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Graph-based Knowledge Distillation by Multi-head Attention Network
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T15:18:24.041153Z
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 d77ba041-e2a0-4782-8830-ec52305a8fd3 · outbound
This paper cites Layer-level knowledge distillation for deep neural network learning.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Layer-level knowledge distillation for deep neural network learning
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:18:26.070328Z
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 0c4d863d-6573-4a38-9b1a-29dbb23f7d20 · outbound
This paper cites Distance encoding: Design provably more powerful neural networks for graph representation learning.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Distance encoding: Design provably more powerful neural networks for graph representation learning
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:18:25.923548Z
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 8017047e-69ed-406b-b6a9-1e62fc1a7b11 · outbound
This paper cites Less is more: Task-aware layer-wise distillation for language model compression.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Less is more: Task-aware layer-wise distillation for language model compression
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:18:25.723737Z
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 b2b46f3a-18b7-4e6e-b631-74b8b009f6d2 · outbound
This paper cites Towards deeper graph neural networks.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Towards deeper graph neural networks
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:18:25.642835Z
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 8c4f26e7-4ec5-45d9-9cbb-16f7107c8dc2 · outbound
This paper cites A critical look at the evaluation of gnns under heterophily: Are we really making progress? ICLR, 2023.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation A critical look at the evaluation of gnns under heterophily: Are we really making progress? ICLR, 2023
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:18:25.613758Z
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 e03f70dd-5a52-45d6-bd3e-99bf49a3877e · outbound
This paper cites Multi-scale attributed node embedding.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Multi-scale attributed node embedding
Reference 28
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d8b9b2c7-d76d-4463-b269-78d0bdf7a10f · outbound
This paper cites A Survey on Oversmoothing in Graph Neural Networks.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation A Survey on Oversmoothing in Graph Neural Networks
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:18:23.232153Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0643a534-9dcd-4bae-8eaf-18b6ae34c464 · outbound
This paper cites Learning mlps on graphs: A unified view of effectiveness, robustness, and efficiency.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Learning mlps on graphs: A unified view of effectiveness, robustness, and efficiency
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:18:25.566455Z
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 d0702eeb-1cce-4173-87ef-86123528ec5c · outbound
This paper cites Knowledge Distillation on Graphs: A Survey.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Knowledge Distillation on Graphs: A Survey
Reference 31
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T15:18:23.962938Z
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 6cf586e0-a91c-4878-b914-b76053ef5bb7 · outbound
This paper cites Graph attention networks.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Graph attention networks
Reference 32
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 47795ecc-6447-43dc-af3e-b0e1a95afef1 · outbound
This paper cites Equivariant and stable positional encoding for more powerful graph neural networks.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Equivariant and stable positional encoding for more powerful graph neural networks
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:18:25.416095Z
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 7a9f6519-860a-4d27-8cc1-82ccda70d0cf · outbound
This paper cites Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:18:23.322842Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 533fffd7-3e78-49c1-9389-b4ebb74fa3f1 · outbound
This paper cites an unresolved cited work.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Unresolved cited work
Reference 35
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T15:18:25.196652Z
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 bf80fe3f-9722-4834-9077-f228048842f4 · outbound
This paper cites an unresolved cited work.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Unresolved cited work
Reference 36
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T15:18:25.098188Z
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 a053731e-eb1e-455b-940a-240feb286de1 · outbound
This paper cites A comprehensive survey on graph neural networks.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation A comprehensive survey on graph neural networks
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:18:25.065038Z
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 8e3af4bf-0946-4ca1-a571-cf3048c48259 · outbound
This paper cites Tinygnn: Learning efficient graph neural networks.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Tinygnn: Learning efficient graph neural networks
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:18:25.040341Z
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 a80cec34-0e58-4ed4-92ea-40bfe6851cfc · outbound
This paper cites Extract the knowledge of graph neural networks and go beyond it: An effective knowledge distillation framework.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Extract the knowledge of graph neural networks and go beyond it: An effective knowledge distillation framework
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:18:23.374131Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7633f529-ddb7-45d4-b0a4-0a4fab096be3 · outbound
This paper cites Vqgraph: Rethinking graph representation space for bridging gnns and mlps.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Vqgraph: Rethinking graph representation space for bridging gnns and mlps
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:18:24.988011Z
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 9e1f048c-3a5c-4303-bb67-40e0738707d8 · outbound
This paper cites Distilling knowledge from graph convolutional networks.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Distilling knowledge from graph convolutional networks
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:18:24.901592Z
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 989f2dac-c010-4812-a725-9e7109170abd · outbound
This paper cites Position-aware graph neural networks.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Position-aware graph neural networks
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:18:24.687725Z
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 86330d6d-c460-4a1b-b1ea-0052762212f2 · outbound
This paper cites Diving into unified data-model sparsity for class-imbalanced graph representation learning.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Diving into unified data-model sparsity for class-imbalanced graph representation learning
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:18:24.660185Z
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 2bc6512b-67c6-42d0-8a4c-91835e699a5b · outbound
This paper cites Heterogeneous graph neural network.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Heterogeneous graph neural network
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:18:24.631874Z
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 ff89b15c-238e-4f41-ba91-4a72a0c26f11 · outbound
This paper cites AGL: a Scalable System for Industrial-purpose Graph Machine Learning.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation AGL: a Scalable System for Industrial-purpose Graph Machine Learning
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T15:18:23.877331Z
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 00baefc0-6285-4173-9b83-84433e9ef8f0 · outbound
This paper cites Graph-less neural networks: Teaching old mlps new tricks via distillation.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Graph-less neural networks: Teaching old mlps new tricks via distillation
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:18:24.595741Z
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 a1388a0a-eb35-411f-b7ac-8096a2838baa · outbound
This paper cites Cold brew: Distilling graph node representations with incomplete or missing neighborhoods.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Cold brew: Distilling graph node representations with incomplete or missing neighborhoods
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:18:24.568458Z
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 a12ffba8-ea4f-409a-98d7-f3013845be32 · outbound
This paper cites Graph neural networks: A review of methods and applications.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Graph neural networks: A review of methods and applications
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:18:24.545406Z
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 a5063654-a473-4ff1-8654-43d71ccecf21 · outbound
This paper cites Slotgat: Slot-based message passing for heterogeneous graphs.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Slotgat: Slot-based message passing for heterogeneous graphs
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:18:24.510726Z
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 0eabfd60-f70c-4ddc-8d7a-a2e76abbcef6 · outbound
This paper cites Effective stabilized self-training on few-labeled graph data.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Effective stabilized self-training on few-labeled graph data
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:18:24.393646Z
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 185dbdad-18d7-453c-8ec9-ef8e7a3c6a2d · outbound
This paper cites Interpreting and unifying graph neural networks with an optimization framework.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Interpreting and unifying graph neural networks with an optimization framework
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:18:24.190642Z
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 ce27870e-5645-40ec-80e9-5e55b9f2c336 · outbound
This paper cites write newline.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation write newline
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:18:23.788315Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.