2-WL-GNN
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A Novel Higher-order Weisfeiler-Lehman Graph Conv…
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73.50
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2020-07-01
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ASAP
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ASAP: Adaptive Structure Aware Pooling for Learni…
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71.48
|
2019-11-18
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CORE-WL
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Graph Kernels: A Survey
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2019-04-27
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CIN++
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CIN++: Enhancing Topological Message Passing
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2023-06-06
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TFGW ADJ (L=2)
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Template based Graph Neural Network with Optimal …
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2022-05-31
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ESA (Edge set attention, no positional encodings)
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An end-to-end attention-based approach for learni…
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2024-02-16
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FGW wl h=4 sp
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Optimal Transport for structured data with applic…
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2018-05-23
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WL-OA Kernel
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Weisfeiler and Leman Go Neural: Higher-order Grap…
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2018-10-04
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WL-OA
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On Valid Optimal Assignment Kernels and Applicati…
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2016-06-03
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FGW wl h=2 sp
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Optimal Transport for structured data with applic…
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2018-05-23
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WWL
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Wasserstein Weisfeiler-Lehman Graph Kernels
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2019-06-04
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δ-2-LWL
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Weisfeiler and Leman go sparse: Towards scalable …
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2019-04-02
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DUGNN
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Learning Universal Adversarial Perturbations with…
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2017-08-17
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GraphGPS
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Recipe for a General, Powerful, Scalable Graph Tr…
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2022-05-25
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GAT
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Graph Attention Networks
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2017-10-30
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PIN
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Weisfeiler and Lehman Go Paths: Learning Topologi…
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2023-08-13
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PNA
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Principal Neighbourhood Aggregation for Graph Nets
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2020-04-12
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Norm-GN
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A New Perspective on the Effects of Spectrum in G…
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2021-12-14
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GIN
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How Powerful are Graph Neural Networks?
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2018-10-01
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CAN
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Cell Attention Networks
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2022-09-16
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DropGIN
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DropGNN: Random Dropouts Increase the Expressiven…
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2021-11-11
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GCN
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Semi-Supervised Classification with Graph Convolu…
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2016-09-09
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GIC
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Gaussian-Induced Convolution for Graphs
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2018-11-11
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sGIN
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Mutual Information Maximization in Graph Neural N…
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2019-05-21
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ECC (5 scores)
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Dynamic Edge-Conditioned Filters in Convolutional…
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2017-04-10
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GFN
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Are Powerful Graph Neural Nets Necessary? A Disse…
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2019-05-11
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Multigraph ChebNet
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Spectral Multigraph Networks for Discovering and …
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2018-11-23
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PPGN
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Provably Powerful Graph Networks
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2019-05-27
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GCAPS-CNN
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Graph Capsule Convolutional Neural Networks
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2018-05-21
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GIN-0
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How Powerful are Graph Neural Networks?
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2018-10-01
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GATv2
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How Attentive are Graph Attention Networks?
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2021-05-30
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GAT-GC (f-Scaled)
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Improving Attention Mechanism in Graph Neural Net…
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2019-07-04
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DAGCN
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DAGCN: Dual Attention Graph Convolutional Networks
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2019-04-04
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GFN-light
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Are Powerful Graph Neural Nets Necessary? A Disse…
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2019-05-11
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VRGC
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Variational Recurrent Neural Networks for Graph C…
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2019-02-07
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GIN
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A Fair Comparison of Graph Neural Networks for Gr…
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2019-12-20
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S-CGIB
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Pre-training Graph Neural Networks on Molecules b…
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2025-02-20
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HGP-SL
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Hierarchical Graph Pooling with Structure Learning
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2019-11-14
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UGT
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Transitivity-Preserving Graph Representation Lear…
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2023-08-18
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Local Topological Profile (LTP)
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Strengthening structural baselines for graph clas…
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2023-05-01
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Graphormer
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Do Transformers Really Perform Bad for Graph Repr…
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|
2021-06-09
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WEGL
|
Wasserstein Embedding for Graph Learning
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|
2020-06-16
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TokenGT
|
Pure Transformers are Powerful Graph Learners
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|
2022-07-06
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DGCNN
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A Fair Comparison of Graph Neural Networks for Gr…
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|
2019-12-20
|
|
PSCN
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Learning Convolutional Neural Networks for Graphs
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|
2016-05-17
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k-GNN
|
Weisfeiler and Leman Go Neural: Higher-order Grap…
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|
2018-10-04
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TREE-G
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TREE-G: Decision Trees Contesting Graph Neural Ne…
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2022-07-06
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SF + RFC
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A Simple Baseline Algorithm for Graph Classificat…
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2018-10-22
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Fea2Fea-s3
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Fea2Fea: Exploring Structural Feature Correlation…
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|
2021-06-24
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SAGPool_g
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Self-Attention Graph Pooling
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|
2019-04-17
|
|
NDP
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Hierarchical Representation Learning in Graph Neu…
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|
2019-10-24
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graph2vec
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graph2vec: Learning Distributed Representations o…
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2017-07-17
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LDP
|
A simple yet effective baseline for non-attribute…
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2018-11-08
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FGW raw sp
|
Optimal Transport for structured data with applic…
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|
2018-05-23
|
|
Deep WL SGN(0,1,2)
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Subgraph Networks with Application to Structural …
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|
2019-03-21
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DDGK
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DDGK: Learning Graph Representations for Deep Div…
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|
2019-04-21
|
|
SAGPool_h
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Self-Attention Graph Pooling
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2019-04-17
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1-NMFPool
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A Non-Negative Factorization approach to node poo…
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2019-09-07
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BC + Capsules
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Capsule Neural Networks for Graph Classification …
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2019-02-22
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