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G-Tuning
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Fine-tuning Graph Neural Networks by Preserving G…
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86.14
|
2023-12-21
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|
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MEWISPool
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Maximum Entropy Weighted Independent Set Pooling …
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2021-07-03
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|
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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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|
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G_Inception
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When Work Matters: Transforming Classical Network…
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|
2018-07-07
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|
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GIC
|
Gaussian-Induced Convolution for Graphs
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|
2018-11-11
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|
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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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|
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sGIN
|
Mutual Information Maximization in Graph Neural N…
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|
2019-05-21
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CAN
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Cell Attention Networks
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2022-09-16
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|
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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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|
|
PATCHY-SAN
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Learning Convolutional Neural Networks for Graphs
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|
2016-05-17
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|
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DDGK
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DDGK: Learning Graph Representations for Deep Div…
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|
2019-04-21
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|
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Graph-JEPA
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Graph-level Representation Learning with Joint-Em…
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|
2023-09-27
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|
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GraphStar
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Graph Star Net for Generalized Multi-Task Learning
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|
2019-06-21
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|
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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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|
|
SEG-BERT
|
Segmented Graph-Bert for Graph Instance Modeling
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|
2020-02-09
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|
|
GFN
|
Are Powerful Graph Neural Nets Necessary? A Disse…
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|
2019-05-11
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|
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PPGN
|
Provably Powerful Graph Networks
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|
2019-05-27
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|
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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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DropGIN
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DropGNN: Random Dropouts Increase the Expressiven…
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|
2021-11-11
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|
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LDP
|
A simple yet effective baseline for non-attribute…
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|
2018-11-08
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|
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R-GCN + PANDA
|
PANDA: Expanded Width-Aware Message Passing Beyon…
|
|
2024-06-06
|
|
|
hGANet
|
Graph Representation Learning via Hard and Channe…
|
|
2019-07-05
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|
|
U2GNN
|
Universal Graph Transformer Self-Attention Networ…
|
|
2019-09-26
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|
|
FactorGCN
|
Factorizable Graph Convolutional Networks
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|
2020-10-12
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|
|
GFN-light
|
Are Powerful Graph Neural Nets Necessary? A Disse…
|
|
2019-05-11
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|
|
GIN-0
|
How Powerful are Graph Neural Networks?
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|
2018-10-01
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|
|
Multigraph ChebNet
|
Spectral Multigraph Networks for Discovering and …
|
|
2018-11-23
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|
|
InfoGraph
|
InfoGraph: Unsupervised and Semi-supervised Graph…
|
|
2019-07-31
|
|
|
PSCN
|
Learning Convolutional Neural Networks for Graphs
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|
2016-05-17
|
|
|
BC + Capsules
|
Capsule Neural Networks for Graph Classification …
|
|
2019-02-22
|
|
|
edGNN (max)
|
edGNN: a Simple and Powerful GNN for Directed Lab…
|
|
2019-04-18
|
|
|
GIN + PANDA
|
PANDA: Expanded Width-Aware Message Passing Beyon…
|
|
2024-06-06
|
|
|
U2GNN (Unsupervised)
|
Universal Graph Transformer Self-Attention Networ…
|
|
2019-09-26
|
|
|
FGW wl h=4 sp
|
Optimal Transport for structured data with applic…
|
|
2018-05-23
|
|
|
SF + RFC
|
A Simple Baseline Algorithm for Graph Classificat…
|
|
2018-10-22
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|
|
ECC (5 scores)
|
Dynamic Edge-Conditioned Filters in Convolutional…
|
|
2017-04-10
|
|
|
WEGL
|
Wasserstein Embedding for Graph Learning
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|
2020-06-16
|
|
|
R-GIN + PANDA
|
PANDA: Expanded Width-Aware Message Passing Beyon…
|
|
2024-06-06
|
|
|
AWE
|
Anonymous Walk Embeddings
|
|
2018-05-30
|
|
|
Graphlet Kernel
|
Weisfeiler and Leman Go Neural: Higher-order Grap…
|
|
2018-10-04
|
|
|
CT-Layer
|
DiffWire: Inductive Graph Rewiring via the Lovász…
|
|
2022-06-15
|
|
|
WWL
|
Wasserstein Weisfeiler-Lehman Graph Kernels
|
|
2019-06-04
|
|
|
DAGCN
|
DAGCN: Dual Attention Graph Convolutional Networks
|
|
2019-04-04
|
|
|
GDL-g (SP)
|
Online Graph Dictionary Learning
|
|
2021-02-12
|
|
|
edGNN (avg)
|
edGNN: a Simple and Powerful GNN for Directed Lab…
|
|
2019-04-18
|
|
|
GAP-Layer (Rcut)
|
DiffWire: Inductive Graph Rewiring via the Lovász…
|
|
2022-06-15
|
|
|
GAP-Layer (Ncut)
|
DiffWire: Inductive Graph Rewiring via the Lovász…
|
|
2022-06-15
|
|
|
FGW wl h=2 sp
|
Optimal Transport for structured data with applic…
|
|
2018-05-23
|
|
|
ApproxRepSet
|
Rep the Set: Neural Networks for Learning Set Rep…
|
|
2019-04-03
|
|
|
VRGC
|
Variational Recurrent Neural Networks for Graph C…
|
|
2019-02-07
|
|
|
k-GNN
|
Weisfeiler and Leman Go Neural: Higher-order Grap…
|
|
2018-10-04
|
|
|
GCN + PANDA
|
PANDA: Expanded Width-Aware Message Passing Beyon…
|
|
2024-06-06
|
|
|
GIN-0
|
Fast Graph Representation Learning with PyTorch G…
|
|
2019-03-06
|
|
|
NDP
|
Hierarchical Representation Learning in Graph Neu…
|
|
2019-10-24
|
|
|
WL-OA
|
On Valid Optimal Assignment Kernels and Applicati…
|
|
2016-06-03
|
|
|
GMT
|
Accurate Learning of Graph Representations with G…
|
|
2021-02-23
|
|
|
Function Space Pooling
|
Function Space Pooling For Graph Convolutional Ne…
|
|
2019-05-15
|
|
|
Function Space Pooling
|
IsoNN: Isomorphic Neural Network for Graph Repres…
|
|
2019-07-22
|
|
|
FGW raw sp
|
Optimal Transport for structured data with applic…
|
|
2018-05-23
|
|
|
graph2vec
|
graph2vec: Learning Distributed Representations o…
|
|
2017-07-17
|
|
|
EigenGCN-3
|
Graph Convolutional Networks with EigenPooling
|
|
2019-04-30
|
|
|
GDL-g (ADJ)
|
Online Graph Dictionary Learning
|
|
2021-02-12
|
|