Effects of Dropout on Performance in Long-range Graph Learning Tasks | Paper Citation Record

Observation 0c7e0d31-bdb8-41a1-92fa-d0fa25431412 · outbound

This paper cites Expanders via local edge flips.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Expanders via local edge flips

Reference 1

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This paper cites Alon and V.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Alon and V

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This paper cites Eigenvalues and expanders.Combinatorica, 6(2):83–96, June 1986.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Eigenvalues and expanders.Combinatorica, 6(2):83–96, June 1986

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Observation e826f601-2597-4db7-a0e8-1425ec14e857 · outbound

This paper cites On the bottleneck of graph neural networks and its practical impli- cations.

Effects of Dropout on Performance in Long-range Graph Learning Tasks On the bottleneck of graph neural networks and its practical impli- cations

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This paper cites Diffwire: Inductive graph rewiring via the lov ´asz bound.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Diffwire: Inductive graph rewiring via the lov ´asz bound

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This paper cites Banerjee, Kedar Karhadkar, Yu Guang Wang, Uri Alon, and Guido Mont ´ufar.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Banerjee, Kedar Karhadkar, Yu Guang Wang, Uri Alon, and Guido Mont ´ufar

Reference 6

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This paper cites Kostylev, Mikael Monet, Jorge P ´erez, Juan Reutter, and Juan Pablo Silva.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Kostylev, Mikael Monet, Jorge P ´erez, Juan Reutter, and Juan Pablo Silva

Reference 7

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This paper cites Understanding oversquash- ing in GNNs through the lens of effective resistance.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Understanding oversquash- ing in GNNs through the lens of effective resistance

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This paper cites Borgwardt, Cheng Soon Ong, Stefan Sch ¨onauer, S.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Borgwardt, Cheng Soon Ong, Stefan Sch ¨onauer, S

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This paper cites Chandra, Prabhakar Raghavan, Walter L.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Chandra, Prabhakar Raghavan, Walter L

Reference 10

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This paper cites Stochastic training of graph convolutional networks with variance reduction.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Stochastic training of graph convolutional networks with variance reduction

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Observation 38910640-d5f3-4e6b-b074-216089ccfa70 · outbound

This paper cites FastGCN: Fast learning with graph convolutional net- works via importance sampling.

Effects of Dropout on Performance in Long-range Graph Learning Tasks FastGCN: Fast learning with graph convolutional net- works via importance sampling

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Observation 6c3434e6-52e0-4ccd-95b2-f374e2bf3187 · outbound

This paper cites Simple and deep graph convolutional networks.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Simple and deep graph convolutional networks

Reference 13

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Observation efc05dea-591a-4b83-8f6d-d8dc29cd445f · outbound

This paper cites Lawrence Erlbaum Associates, Hillsdale, NJ, 2 edition, 1988.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Lawrence Erlbaum Associates, Hillsdale, NJ, 2 edition, 1988

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Observation 2a041bc4-1f5a-44ab-bc6d-301bbd46bcbf · outbound

This paper cites The flip markov chain for connected regular graphs.Discrete Applied Mathematics, 254:56–79, 2019.

Effects of Dropout on Performance in Long-range Graph Learning Tasks The flip markov chain for connected regular graphs.Discrete Applied Mathematics, 254:56–79, 2019

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Observation 6f66e8d2-9e64-4442-a28c-b8097e4c568b · outbound

This paper cites Expander graph propagation.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Expander graph propagation

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This paper cites Lopez de Compadre, Gargi Debnath, Alan J.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Lopez de Compadre, Gargi Debnath, Alan J

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Observation 3ed9539e-ac78-49d6-8e28-c79856abfa8d · outbound

This paper cites On over-squashing in message passing neural networks: The impact of width, depth, and topology.

Effects of Dropout on Performance in Long-range Graph Learning Tasks On over-squashing in message passing neural networks: The impact of width, depth, and topology

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This paper cites Dobson and Andrew J.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Dobson and Andrew J

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Observation 595efe04-1885-40d6-9aa6-a1b2782cb052 · outbound

This paper cites Long range graph benchmark.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Long range graph benchmark

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This paper cites Dropmessage: Unifying random dropping for graph neural networks.Proceedings of the AAAI Conference on Artificial Intelligence, 37(4):4267–4275, Jun.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Dropmessage: Unifying random dropping for graph neural networks.Proceedings of the AAAI Conference on Artificial Intelligence, 37(4):4267–4275, Jun

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Observation efa1bdda-86e5-44f3-932a-bea51b12c3d4 · outbound

This paper cites A local switch markov chain on given degree graphs with application in connectivity of peer-to-peer networks.

Effects of Dropout on Performance in Long-range Graph Learning Tasks A local switch markov chain on given degree graphs with application in connectivity of peer-to-peer networks

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Observation 98cda430-6699-494f-b4a7-1ebf4e110fb0 · outbound

This paper cites Graph random neural networks for semi-supervised learning on graphs.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Graph random neural networks for semi-supervised learning on graphs

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Effects of Dropout on Performance in Long-range Graph Learning Tasks Unresolved cited work

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Observation 6ccf599d-c4e7-4224-b5b9-3bcd48463645 · outbound

This paper cites Rewiring with positional encodings for graph neural networks.Transactions on Machine Learning Research, 2023.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Rewiring with positional encodings for graph neural networks.Transactions on Machine Learning Research, 2023

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This paper cites Bayesian convolutional neural networks with bernoulli approximate variational inference, 2016.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Bayesian convolutional neural networks with bernoulli approximate variational inference, 2016

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This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Dropout as a bayesian approximation: Representing model uncertainty in deep learning

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This paper cites A theoretically grounded application of dropout in re- current neural networks.

Effects of Dropout on Performance in Long-range Graph Learning Tasks A theoretically grounded application of dropout in re- current neural networks

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Observation e4741de1-2016-470e-a3d8-b6b0deab7b8b · outbound

This paper cites Large-scale learnable graph convolutional networks.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Large-scale learnable graph convolutional networks

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This paper cites Expanders via local edge flips in quasilinear time.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Expanders via local edge flips in quasilinear time

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Observation 8d11d495-9f9a-4ef6-a9fa-3aedfb32c6d2 · outbound

This paper cites Lee Giles, Kurt D.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Lee Giles, Kurt D

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This paper cites Schoenholz, Patrick F.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Schoenholz, Patrick F

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This paper cites Konstantin Rusch, Michael Bronstein, Andreea Deac, Marc Lack- enby, Siddhartha Mishra, and Petar Veliˇckovi´c.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Konstantin Rusch, Michael Bronstein, Andreea Deac, Marc Lack- enby, Siddhartha Mishra, and Petar Veliˇckovi´c

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Observation 47b08db4-76b5-4d55-be59-f19c0888dcf0 · outbound

This paper cites Giraldo, Konstantinos Skianis, Thierry Bouwmans, and Fragkiskos D.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Giraldo, Konstantinos Skianis, Thierry Bouwmans, and Fragkiskos D

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This paper cites DRew: Dynamically rewired message passing with delay.

Effects of Dropout on Performance in Long-range Graph Learning Tasks DRew: Dynamically rewired message passing with delay

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Observation 72b39d0f-b841-48e6-8edf-653609b87d57 · outbound

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Effects of Dropout on Performance in Long-range Graph Learning Tasks Inductive representation learning on large graphs

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Observation 6cb167fd-d05e-473f-ad47-8f01e102c73d · outbound

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Effects of Dropout on Performance in Long-range Graph Learning Tasks Bayesian graph neural networks with adaptive con- nection sampling, 2020

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Observation f773092b-0fb1-4b68-9fce-5af5772a9d91 · outbound

This paper cites Deep residual learning for image recognition.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Deep residual learning for image recognition

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This paper cites an unresolved cited work.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Unresolved cited work

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Observation 7296b421-3244-4327-b68a-16183b01ff05 · outbound

This paper cites Open Graph Benchmark: Datasets for Machine Learning on Graphs.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Open Graph Benchmark: Datasets for Machine Learning on Graphs

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Observation db55101f-b34d-47e1-a80f-89fe57e73dcc · outbound

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Effects of Dropout on Performance in Long-range Graph Learning Tasks Normalization techniques in training dnns: Methodology, analysis and application, 2020

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Observation b885bacd-fe84-414f-bbee-b5caeb1d86d9 · outbound

This paper cites ZINC: a free tool to discover chemistry for biology.J Chem Inf Model, 52(7):1757–1768, June 2012.

Effects of Dropout on Performance in Long-range Graph Learning Tasks ZINC: a free tool to discover chemistry for biology.J Chem Inf Model, 52(7):1757–1768, June 2012

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This paper cites Dropagg: Robust graph neural networks via drop aggregation.Neural Networks, 163:65–74, 2023.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Dropagg: Robust graph neural networks via drop aggregation.Neural Networks, 163:65–74, 2023

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Observation 541f92a7-99af-4a83-9804-1a41406e44ab · outbound

This paper cites Banerjee, and Guido Montufar.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Banerjee, and Guido Montufar

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Observation da1d1ec7-fe5a-404b-93cb-288bae01b1f1 · outbound

This paper cites Deep learning without poor local minima.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Deep learning without poor local minima

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:15.018803Z

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Observation e4c29238-74d9-49db-b2b8-c80c7f65cc5e · outbound

This paper cites Adam: A method for stochastic optimization.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Adam: A method for stochastic optimization

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Observation 46d2dc96-20bb-4a0f-8988-feaabb985236 · outbound

This paper cites Kipf and Max Welling.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Kipf and Max Welling

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Observation 5897ba15-a7e1-4366-aee6-e2a312e88ba6 · outbound

This paper cites Howard, Wayne Hubbard, and Lawrence Jackel.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Howard, Wayne Hubbard, and Lawrence Jackel

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Observation b4f94e56-ea32-4ed0-890e-bf8fdc7940d6 · outbound

This paper cites Deepgcns: Can gcns go as deep as cnns? In2019 IEEE/CVF International Conference on Computer Vision (ICCV), pp.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Deepgcns: Can gcns go as deep as cnns? In2019 IEEE/CVF International Conference on Computer Vision (ICCV), pp

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.976624Z

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Observation 1f600a8a-0d6b-410d-8455-96008017761f · outbound

This paper cites Deeper insights into graph convolutional networks for semi-supervised learning.Proceedings of the AAAI Conference on Artificial Intelligence, 32(1), 04 2018.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Deeper insights into graph convolutional networks for semi-supervised learning.Proceedings of the AAAI Conference on Artificial Intelligence, 32(1), 04 2018

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.966479Z

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Observation e87d5edf-286e-4bd9-aaa3-9956f2447348 · outbound

This paper cites an unresolved cited work.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Unresolved cited work

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Resolution: unresolved; raw_fallback, observed 2026-08-08T13:03:14.956006Z

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Observation 05ae836f-bf1d-46df-b62c-a1ee9a4302c0 · outbound

This paper cites New Benchmarks for Learning on Non-Homophilous Graphs.

Effects of Dropout on Performance in Long-range Graph Learning Tasks New Benchmarks for Learning on Non-Homophilous Graphs

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Observation 8f362d25-7d42-4143-88e3-711091385bc3 · outbound

This paper cites Towards deeper graph neural networks.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Towards deeper graph neural networks

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.945277Z

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Observation c90c85aa-5c45-47ba-9370-28da6194422a · outbound

This paper cites Curvdrop: A ricci curvature based approach to prevent graph neural networks from over- smoothing and over-squashing.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Curvdrop: A ricci curvature based approach to prevent graph neural networks from over- smoothing and over-squashing

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.934063Z

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Observation cace7c0f-6b54-466b-baee-14f67728606a · outbound

This paper cites Lov ´asz.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Lov ´asz

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.825001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7ab24084-6960-4544-b45b-af1a72df0f23 · outbound

This paper cites Peer-to-peer networks based on random trans- formations of connected regular undirected graphs.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Peer-to-peer networks based on random trans- formations of connected regular undirected graphs

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.815532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7eb42eea-8e26-4eee-a057-6544036427db · outbound

This paper cites Automating the construction of internet portals with machine learning.Information Retrieval, 3(2):127– 163, 07 2000.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Automating the construction of internet portals with machine learning.Information Retrieval, 3(2):127– 163, 07 2000

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.804912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation df81117f-8e8f-468a-a2f2-a270cf1211dc · outbound

This paper cites Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-08T13:03:13.930965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33cdda56-9c5d-489d-9d1d-7cc1cdcdb6f2 · outbound

This paper cites Smith, Mateusz Paprocki, Ond ˇrej ˇCert´ık, Sergey B.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Smith, Mateusz Paprocki, Ond ˇrej ˇCert´ık, Sergey B

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.793212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7be8b68b-fb0d-4d9e-a8e7-5570c1431cc9 · outbound

This paper cites Geometric matrix completion with recurrent multi-graph neural networks.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Geometric matrix completion with recurrent multi-graph neural networks

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.781895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a1c72ac2-9781-454f-b0a4-57ee5406bb98 · outbound

This paper cites Kriege, Franka Bause, Kristian Kersting, Petra Mutzel, and Mar- ion Neumann.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Kriege, Franka Bause, Kristian Kersting, Petra Mutzel, and Mar- ion Neumann

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.770426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 86b65b6a-0700-42a5-afbd-a3de14499dcd · outbound

This paper cites Query-driven active sur- veying for collective classification.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Query-driven active sur- veying for collective classification

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.759192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4a7248bb-21d8-4327-9694-6fc8c7149028 · outbound

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

Effects of Dropout on Performance in Long-range Graph Learning Tasks Revis- iting over-smoothing and over-squashing using ollivier-ricci curvature

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.748415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f96609b9-9fa9-422d-b583-41ffe4723fdf · outbound

This paper cites Graph neural networks exponentially lose expressive power for node classification.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Graph neural networks exponentially lose expressive power for node classification

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-08T13:03:13.952539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9de6900c-84da-4acc-bbcf-d1414d7fb98b · outbound

This paper cites Dropgnn: Random dropouts increase the expressiveness of graph neural networks.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Dropgnn: Random dropouts increase the expressiveness of graph neural networks

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.730635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0ec25178-ff0b-4063-bbc2-839cdb1a553c · outbound

This paper cites Geom-gcn: Geometric graph convolutional networks.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Geom-gcn: Geometric graph convolutional networks

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.719330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 26c2aeed-0b74-4ca3-ad67-ecb2dc0c07f5 · outbound

This paper cites Probabilistically rewired message-passing neural networks.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Probabilistically rewired message-passing neural networks

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.707516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation acdbe257-1739-4219-b3a5-af1e22c4292d · outbound

This paper cites Dropedge: Towards deep graph convolutional networks on node classification.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Dropedge: Towards deep graph convolutional networks on node classification

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.696822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 10974faa-5deb-4731-afe8-b91689aeebc8 · outbound

This paper cites Multi-Scale Attributed Node Embedding.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Multi-Scale Attributed Node Embedding

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.685586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b213b4cc-d892-47ec-8875-b684809c6f44 · outbound

This paper cites Konstantin Rusch, Michael M.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Konstantin Rusch, Michael M

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.674863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a77d7e91-04ff-432e-9591-ef72ea3095d5 · outbound

This paper cites The graph neural network model.IEEE Transactions on Neural Networks, 20(1):61–80, 2009.

Effects of Dropout on Performance in Long-range Graph Learning Tasks The graph neural network model.IEEE Transactions on Neural Networks, 20(1):61–80, 2009

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.664493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7075d459-9e2d-40bd-ab18-1c29694df074 · outbound

This paper cites Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, and Max Welling.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, and Max Welling

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-08T13:03:13.980749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ba68779-29e1-4d24-a907-76dec133dd29 · outbound

This paper cites BRENDA, the enzyme database: updates and major new developments.Nucleic Acids Res, 32(Database issue):D431–3, January 2004.

Effects of Dropout on Performance in Long-range Graph Learning Tasks BRENDA, the enzyme database: updates and major new developments.Nucleic Acids Res, 32(Database issue):D431–3, January 2004

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.647847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0cae4464-5567-40c2-acc9-b416751e7431 · outbound

This paper cites an unresolved cited work.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-08T13:03:14.638090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 358ac192-1715-4d52-a2fd-7b227a2db2b2 · outbound

This paper cites Pitfalls of graph neural network evaluation.Relational Representation Learning Workshop, NeurIPS 2018, 2018.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Pitfalls of graph neural network evaluation.Relational Representation Learning Workshop, NeurIPS 2018, 2018

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.628073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6e725c17-5a37-41af-9c66-090285b1f50e · outbound

This paper cites Approximate counting, uniform generation and rapidly mixing markov chains.Information and Computation, 82(1):93–133, 1989.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Approximate counting, uniform generation and rapidly mixing markov chains.Information and Computation, 82(1):93–133, 1989

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.617942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e53c205d-89ab-4e57-8cd9-05c7b456f5de · outbound

This paper cites Dropout: A simple way to prevent neural networks from overfitting.Journal of Machine Learning Research, 15(56):1929–1958, 2014.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Dropout: A simple way to prevent neural networks from overfitting.Journal of Machine Learning Research, 15(56):1929–1958, 2014

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.606979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a533e815-7cf6-4269-a5ac-c7ef688c5a04 · outbound

This paper cites Going deeper with convolutions.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Going deeper with convolutions

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.595957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f82d721e-9ea2-4b2a-9524-8abd5c96c610 · outbound

This paper cites Bronstein.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Bronstein

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.584746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b4ac3041-803e-46a2-972c-e429871b148b · outbound

This paper cites Attention is all you need.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Attention is all you need

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.572248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2745a69a-373a-4e79-bac4-b5b1c8c99f7a · outbound

This paper cites Graph attention networks.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Graph attention networks

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.561586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 977fb9e4-1c9b-4513-b20f-9acf4792d065 · outbound

This paper cites Comparison of descriptor spaces for chemical compound retrieval and classification.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Comparison of descriptor spaces for chemical compound retrieval and classification

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.551190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 76306656-d1bc-4e28-a411-bb254adf5ffd · outbound

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

Effects of Dropout on Performance in Long-range Graph Learning Tasks Representing long-range context for graph neural networks with global attention

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.539871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 00ebea97-f8e4-4cc8-8599-7341bb93c82d · outbound

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

Effects of Dropout on Performance in Long-range Graph Learning Tasks Representation learning on graphs with jumping knowledge networks

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.528931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f05b4aca-0e8a-4f37-8c26-f9a9fe745a1b · outbound

This paper cites How powerful are graph neural networks?, 2019.

Effects of Dropout on Performance in Long-range Graph Learning Tasks How powerful are graph neural networks?, 2019

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-08T13:03:14.022733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46d726d0-7865-4977-bd05-51b7af24513f · outbound

This paper cites Shedding light on random dropping and oversmoothing.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Shedding light on random dropping and oversmoothing

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.511155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 00e64fa6-8c3c-4ba9-92d3-a29643030005 · outbound

This paper cites Vishwanathan.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Vishwanathan

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.500234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f5d5a16d-5e7c-4cf8-83af-4fe239d1b16e · outbound

This paper cites Hamilton, and Jure Leskovec.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Hamilton, and Jure Leskovec

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.490753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0357e83f-eec0-4c30-a57c-88ade52134ad · outbound

This paper cites Graph contrastive learning with augmentations.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Graph contrastive learning with augmentations

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.481146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f368c38e-5c94-43d3-bb3e-7404354ef96b · outbound

This paper cites an unresolved cited work.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Unresolved cited work

Reference 90

Resolution: unresolved; raw_fallback, observed 2026-08-08T13:03:14.470908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8cd29040-159d-4074-85d3-22da4a2bcf52 · outbound

This paper cites L2-gcn: Layer-wise and learned efficient training of graph convolutional networks.

Effects of Dropout on Performance in Long-range Graph Learning Tasks L2-gcn: Layer-wise and learned efficient training of graph convolutional networks

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.461863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 783cbae3-2f50-44ae-8752-305bf1e086e9 · outbound

This paper cites Bringing your own view: Graph contrastive learning without prefabricated data augmentations.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Bringing your own view: Graph contrastive learning without prefabricated data augmentations

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.451629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ff882283-c9a1-4574-a861-b53a983705b2 · outbound

This paper cites Pairnorm: Tackling oversmoothing in gnns.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Pairnorm: Tackling oversmoothing in gnns

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.440944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ade2e00b-394b-4240-bcd5-86a7ca5f361d · outbound

This paper cites Cold brew: Distilling graph node representations with incomplete or missing neighborhoods.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Cold brew: Distilling graph node representations with incomplete or missing neighborhoods

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.429972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 78180ab3-68c2-4598-9ec1-a9a06baa797f · outbound

This paper cites Towards deeper graph neural networks with differentiable group normalization.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Towards deeper graph neural networks with differentiable group normalization

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.418858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6d200959-e417-41b6-b02f-7acc337f8497 · outbound

This paper cites Dirichlet energy constrained learning for deep graph neural networks.Advances in neural information processing systems, 2021.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Dirichlet energy constrained learning for deep graph neural networks.Advances in neural information processing systems, 2021

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.407418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 80d3b724-61d6-4481-909e-b46975e131fd · outbound

This paper cites Understanding and resolving performance degradation in deep graph convolutional net- works.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Understanding and resolving performance degradation in deep graph convolutional net- works

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.395901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c722164b-de5f-4e90-bd16-0037620db257 · outbound

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

Effects of Dropout on Performance in Long-range Graph Learning Tasks Beyond homophily in graph neural networks: Current limitations and effective designs

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.384451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 609b06c4-b5da-4a10-be98-5f01d3bedb45 · outbound

This paper cites Predicting multicellular function through multi-layer tissue networks.Bioinformatics, 33(14):i190–i198, 07 2017.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Predicting multicellular function through multi-layer tissue networks.Bioinformatics, 33(14):i190–i198, 07 2017

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.373470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8702b417-25a4-4b44-a714-122943554b8d · outbound

This paper cites These meth- ods successfully addressed the over-smoothing problem, enabling the training of deep GNNs, and performed competitively on several benchmarking datasets.

Effects of Dropout on Performance in Long-range Graph Learning Tasks These meth- ods successfully addressed the over-smoothing problem, enabling the training of deep GNNs, and performed competitively on several benchmarking datasets

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:03:14.362290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Reference resolution

Outbound references

Pith citing papers