|
HGP-SL
|
Hierarchical Graph Pooling with Structure Learning
|
84.91
|
2019-11-14
|
|
|
rLap (unsupervised)
|
Randomized Schur Complement Views for Graph Contr…
|
84.30
|
2023-06-06
|
|
|
TFGW ADJ (L=2)
|
Template based Graph Neural Network with Optimal …
|
82.90
|
2022-05-31
|
|
|
FIT-GNN
|
FIT-GNN: Faster Inference Time for GNNs Using Coa…
|
82.10
|
2024-10-19
|
|
|
CIN++
|
CIN++: Enhancing Topological Message Passing
|
80.50
|
2023-06-06
|
|
|
2-WL-GNN
|
A Novel Higher-order Weisfeiler-Lehman Graph Conv…
|
76.50
|
2020-07-01
|
|
|
R-GIN + PANDA
|
PANDA: Expanded Width-Aware Message Passing Beyon…
|
76.17
|
2024-06-06
|
|
|
GCN + PANDA
|
PANDA: Expanded Width-Aware Message Passing Beyon…
|
76.00
|
2024-06-06
|
|
|
R-GCN + PANDA
|
PANDA: Expanded Width-Aware Message Passing Beyon…
|
76.00
|
2024-06-06
|
|
|
GIN + PANDA
|
PANDA: Expanded Width-Aware Message Passing Beyon…
|
75.76
|
2024-06-06
|
|
|
TREE-G
|
TREE-G: Decision Trees Contesting Graph Neural Ne…
|
75.60
|
2022-07-06
|
|
|
GDL-g (SP)
|
Online Graph Dictionary Learning
|
74.86
|
2021-02-12
|
|
|
G-Tuning
|
Fine-tuning Graph Neural Networks by Preserving G…
|
72.05
|
2023-12-21
|
|
|
U2GNN
|
Universal Graph Transformer Self-Attention Networ…
|
|
2019-09-26
|
|
|
ESA (Edge set attention, no positional encodings)
|
An end-to-end attention-based approach for learni…
|
|
2024-02-16
|
|
|
DUGNN
|
Learning Universal Graph Neural Network Embedding…
|
|
2019-09-22
|
|
|
MEWISPool
|
Maximum Entropy Weighted Independent Set Pooling …
|
|
2021-07-03
|
|
|
UGT
|
Transitivity-Preserving Graph Representation Lear…
|
|
2023-08-18
|
|
|
U2GNN (Unsupervised)
|
Universal Graph Transformer Self-Attention Networ…
|
|
2019-09-26
|
|
|
sGIN
|
Mutual Information Maximization in Graph Neural N…
|
|
2019-05-21
|
|
|
PIN
|
Weisfeiler and Lehman Go Paths: Learning Topologi…
|
|
2023-08-13
|
|
|
hGANet
|
Graph Representation Learning via Hard and Channe…
|
|
2019-07-05
|
|
|
cGANet
|
Graph Representation Learning via Hard and Channe…
|
|
2019-07-05
|
|
|
CAN
|
Cell Attention Networks
|
|
2022-09-16
|
|
|
GANet
|
Graph Representation Learning via Hard and Channe…
|
|
2019-07-05
|
|
|
GraphStar
|
Graph Star Net for Generalized Multi-Task Learning
|
|
2019-06-21
|
|
|
Fea2Fea-s2
|
Fea2Fea: Exploring Structural Feature Correlation…
|
|
2021-06-24
|
|
|
Graph U-Nets
|
Graph U-Nets
|
|
2019-05-11
|
|
|
GATv2
|
How Attentive are Graph Attention Networks?
|
|
2021-05-30
|
|
|
PNA
|
Principal Neighbourhood Aggregation for Graph Nets
|
|
2020-04-12
|
|
|
GIC
|
Gaussian-Induced Convolution for Graphs
|
|
2018-11-11
|
|
|
GFN-light
|
Are Powerful Graph Neural Nets Necessary? A Disse…
|
|
2019-05-11
|
|
|
SEAL-SAGE
|
Semi-Supervised Graph Classification: A Hierarchi…
|
|
2019-04-10
|
|
|
PPGN
|
Provably Powerful Graph Networks
|
|
2019-05-27
|
|
|
GraphGPS
|
Recipe for a General, Powerful, Scalable Graph Tr…
|
|
2022-05-25
|
|
|
Weak-supervised ChebyNet
|
Understanding Attention and Generalization in Gra…
|
|
2019-05-08
|
|
|
SEG-BERT
|
Segmented Graph-Bert for Graph Instance Modeling
|
|
2020-02-09
|
|
|
GAT-GC (f-Scaled)
|
Improving Attention Mechanism in Graph Neural Net…
|
|
2019-07-04
|
|
|
GAT
|
Graph Attention Networks
|
|
2017-10-30
|
|
|
Deep WL SGN(0,1,2)
|
Subgraph Networks with Application to Structural …
|
|
2019-03-21
|
|
|
EigenGCN-3
|
Graph Convolutional Networks with EigenPooling
|
|
2019-04-30
|
|
|
Multigraph ChebNet
|
Spectral Multigraph Networks for Discovering and …
|
|
2018-11-23
|
|
|
WEGL
|
Wasserstein Embedding for Graph Learning
|
|
2020-06-16
|
|
|
GFN
|
Are Powerful Graph Neural Nets Necessary? A Disse…
|
|
2019-05-11
|
|
|
Shortest-Path Kernel
|
Weisfeiler and Leman Go Neural: Higher-order Grap…
|
|
2018-10-04
|
|
|
GCAPS-CNN
|
Graph Capsule Convolutional Neural Networks
|
|
2018-05-21
|
|
|
WL-OA
|
On Valid Optimal Assignment Kernels and Applicati…
|
|
2016-06-03
|
|
|
MLG
|
The Multiscale Laplacian Graph Kernel
|
|
2016-03-20
|
|
|
DAGCN
|
DAGCN: Dual Attention Graph Convolutional Networks
|
|
2019-04-04
|
|
|
CORE-SP
|
Graph Kernels: A Survey
|
|
2019-04-27
|
|
|
DropGIN
|
DropGNN: Random Dropouts Increase the Expressiven…
|
|
2021-11-11
|
|
|
ASAP
|
ASAP: Adaptive Structure Aware Pooling for Learni…
|
|
2019-11-18
|
|
|
BC + Capsules
|
Capsule Neural Networks for Graph Classification …
|
|
2019-02-22
|
|
|
GNN (DiffPool)
|
Hierarchical Graph Representation Learning with D…
|
|
2018-06-22
|
|
|
k-GNN
|
Weisfeiler and Leman Go Neural: Higher-order Grap…
|
|
2018-10-04
|
|
|
Graph-JEPA
|
Graph-level Representation Learning with Joint-Em…
|
|
2023-09-27
|
|
|
GCN
|
Semi-Supervised Classification with Graph Convolu…
|
|
2016-09-09
|
|
|
GIN
|
How Powerful are Graph Neural Networks?
|
|
2018-10-01
|
|
|
CT-Layer
|
DiffWire: Inductive Graph Rewiring via the Lovász…
|
|
2022-06-15
|
|
|
GAP-Layer (Ncut)
|
DiffWire: Inductive Graph Rewiring via the Lovász…
|
|
2022-06-15
|
|
|
DiffPool
|
Fast Graph Representation Learning with PyTorch G…
|
|
2019-03-06
|
|
|
DGCNN
|
DGCNN: Disordered Graph Convolutional Neural Netw…
|
|
2017-12-10
|
|
|
GMT
|
Accurate Learning of Graph Representations with G…
|
|
2021-02-23
|
|
|
GAP-Layer (Rcut)
|
DiffWire: Inductive Graph Rewiring via the Lovász…
|
|
2022-06-15
|
|
|
PiNet (Learned p and q)
|
PiNet: A Permutation Invariant Graph Neural Netwo…
|
|
2019-05-08
|
|
|
DiffWire
|
DiffWire: Inductive Graph Rewiring via the Lovász…
|
|
2022-06-15
|
|
|
VRGC
|
Variational Recurrent Neural Networks for Graph C…
|
|
2019-02-07
|
|
|
LDP + distance
|
A simple yet effective baseline for non-attribute…
|
|
2018-11-08
|
|
|
δ-2-LWL
|
Weisfeiler and Leman go sparse: Towards scalable …
|
|
2019-04-02
|
|
|
FGW sp
|
Optimal Transport for structured data with applic…
|
|
2018-05-23
|
|
|
WWL
|
Wasserstein Weisfeiler-Lehman Graph Kernels
|
|
2019-06-04
|
|
|
LDP + Labels
|
A simple yet effective baseline for non-attribute…
|
|
2018-11-08
|
|
|
DiffPool
|
A Fair Comparison of Graph Neural Networks for Gr…
|
|
2019-12-20
|
|
|
SF + RFC
|
A Simple Baseline Algorithm for Graph Classificat…
|
|
2018-10-22
|
|
|
EdgePool w GraphSAGE
|
Edge Contraction Pooling for Graph Neural Networks
|
|
2019-05-27
|
|
|
Graph2Vec
|
Hierarchical Representation Learning in Graph Neu…
|
|
2019-10-24
|
|
|
graph2vec
|
graph2vec: Learning Distributed Representations o…
|
|
2017-07-17
|
|
|
GraphSAGE
|
A Fair Comparison of Graph Neural Networks for Gr…
|
|
2019-12-20
|
|
|
Function Space Pooling
|
Function Space Pooling For Graph Convolutional Ne…
|
|
2019-05-15
|
|
|
Local Topological Profile (LTP)
|
Strengthening structural baselines for graph clas…
|
|
2023-05-01
|
|
|
LDP
|
A simple yet effective baseline for non-attribute…
|
|
2018-11-08
|
|
|
EdgePool
|
Edge Contraction Pooling for Graph Neural Networks
|
|
2019-05-27
|
|
|
1-NMFPool
|
A Non-Negative Factorization approach to node poo…
|
|
2019-09-07
|
|
|
SAGPool_h
|
Self-Attention Graph Pooling
|
|
2019-04-17
|
|
|
ApproxRepSet
|
Rep the Set: Neural Networks for Learning Set Rep…
|
|
2019-04-03
|
|
|
SAGPool_g
|
Self-Attention Graph Pooling
|
|
2019-04-17
|
|
|
Eff.resistance graph kernel
|
0/1 Deep Neural Networks via Block Coordinate Des…
|
|
2022-06-19
|
|
|
GIN-0
|
How Powerful are Graph Neural Networks?
|
|
2018-10-01
|
|