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Discord Stateoftheart AI
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An Evolution of Models
Graph Isomorphism network
2018
K Xu et al.
Multi-Stage SSL on various tasks
2020
Yuning You et al.
Neural Model Counting
2020
Ralph Abboud et al.
Geom-GCM
2020
Hongbin Pei et al.
Algorithmic Alignment
2020
Keyulu Xu et al.
Neural Execution Engines
2020
Yujun Yan et al.
Neural bipartite matching.
2020
Dobrik Georgiev and P. Li�, Pietro Lio, P. Lio, Pietro Li�, Pietro Lio'
Set2Graph
2020
Hadar Serviansky et al.
Non-local GNN
2020
Meng Liu et al.
Higher order Logic GNN
2020
Aditya Paliwal et al.
Differentiable graph Module
2020
Anees Kazi et al.
Pointer Graph Networks
2020
Petar Veličković et al.
Arma filter GNN
2019
Filippo Maria Bianchi et al.
SagPool
2019
junhyun lee et al.
Graph Relational Pooling
2019
Ryan L. Murphy et al.
Learning Discrete Structures GNN
2019
Luca Franceschi et al.
GCN on PointClouds
2019
Yue Wang et al.
Text Graph Convolutional Neural Network
2019
Liang Yao et al.
Multi-Stage Self-Supervised GCN
2019
Ke Sun et al.
Deep Permutation Invariant Functions
2019
Ryan L. Murphy et al.
Iterative Generative Modelling of Graphs
2019
Aditya Grover et al.
Higher Order Theorem Proving
2019
Kshitij Bansal et al.
Learning to represent edits
2019
Pengcheng Yin et al.
Attention based ST-GCN
2019
Shengnan Guo et al.
Relation aware GAT
2019
L Li et al.
Graph Markov NN
2019
M Qu et al.
Graph Learning Convolutional Networks
2019
Bo Jiang et al.
Travelling Salesman GNN
2019
Marcelo Prates et al.
Deep graph infomax
2019
P Veličković et al.
GeniePath
2019
Zhiming Liu et al.
Graph Colouring Neural Network
2019
Henrique Lemos dos Santos et al.
Learning to Generate SAT Formulas (G2SAT)
2019
Jiaxuan You et al.
Object-Oriented Prediction and Planning
2019
Michael Janner et al.
Graph u-net.
2019
Hongyang Gao and S Ji
Neural execution of graph algorithms.
2019
Petar Veličković et al.
Mutual information Maximization GGN
2019
Fan-Yun Sun et al.
Graph WaveNet
2019
Z Wu et al.
MolecularRNN
2019
Mariya Popova et al.
Cluster GCN
2019
Wei-Lin Chiang et al.
Large Scale GCN
2018
Hongyang Gao et al.
Diffusion Convolutional Recurrent Networks
2018
Y Li et al.
RN for Object detection
2018
Han Hu et al.
NetGAN
2018
Aleksandar Bojchevski et al.
GraphVAE
2018
Martin Simonovsky and Nikos Komodakis
DeepCluster for Unsupervised Learning
2018
Mathilde Caron et al.
Deep Representations by Mutual Estimation (Deep InfoMax)
2018
R Devon Hjelm et al.
Differentiable ILP
2018
Richard Evans and Edward Grefenstette
Relational Neural EM
2018
Sjoerd van Steenkiste et al.
SortpoolGNN
2018
Muhan Zhang et al.
Stochastic Steady-state Embedding
2018
Hanjun Dai et al.
Combinatorial Optimization with GCN
2018
Z Li et al.
Regularized GraphVAE
2018
T Ma et al.
Relational GCN
2018
Michael Sejr Schlichtkrull et al.
Graphical Compotutational Policy Network
2018
Jiaxuan You et al.
Graph Generative Code Modeling
2018
Marc Brockschmidt et al.
DiffPool
2018
Rex Ying et al.
Contextual Graph Markov Model
2018
Davide Bacciu et al.
Programs With Graphs
2018
Miltiadis Allamanis et al.
FastGCN
2018
Jie Chen et al.
NeuroSAT
2018
Daniel Selsam et al.
Adaptive Sampling Fast Graph
2018
Wenbing Huang et al.
Bilevel HP Optimization
2018
Luca Franceschi et al.
Neural Relational Inference
2018
Thomas Kipf et al.
Junction Tree Variational Autoencoder
2018
Wengong Jin et al.
Gaan: Gated Attention Networks
2018
Jiani Zhang et al.
Deep Generative Graphs
2018
Yujia Li et al.
Spline CNN
2018
Matthias Fey et al.
GCN-LSTM
2018
Ting Yao et al.
Stochastic GNN
2018
Jianfei Chen et al.
Cayleynets
2018
Ron Levie et al.
Encode-Process-Decode
2018
Jessica B. Hamrick et al.
Physics Engine GNN
2018
Alvaro Sanchez-Gonzalez et al.
Recurrent Relational Network
2018
Rasmus Berg Palm et al.
Invariant and equivariant GNN
2018
Haggai Maron et al.
Deep Exchangeable Architecture
2018
Jason Hartford et al.
Spatio-temporal GCN
2018
B Yu et al.
Partition Graph Convolution
2018
Sijie Yan et al.
Adversarially Reguarized GAE
2018
Shirui Pan et al.
Network Representations with ARVGA
2018
Wenchao Yu et al.
Adaptive graph convolutional neural networks
2018
R Li et al.
Recursive Network Embedding
2018
K Tu et al.
Relational GNN
2018
Peter Battaglia et al.
GraphAF
2020
Chence Shi et al.
ST-GCN for Action Recognition
2018
Sijie Yan et al.
GraphRNN
2018
J You et al.
Graph Convolutional Recurrent Network
2018
Youngjoo Seo et al.
Dual graph convolutional networks
2018
Chenyi Zhuang and Q Ma
PointNet++
2017
CR Qi et al.
Combinatorial Algorithms over Graphs
2017
Elias Khalil et al.
Neural Message Passing Network
2017
Justin Gilmer et al.
Metacontrol for imagination
2017
Jessica B. Hamrick et al.
Graph Attention Networks
2017
Petar Veličković et al.
Visual Interaction Network
2017
Nicholas Watters et al.
Mixture Model Network
2017
Federico Monti et al.
Inductive Large Graphs
2017
William L Hamilton et al.
Res-GraphConvNet
2017
Xavier Bresson and Thomas Laurent
SRL-GCN
2017
Diego Marcheggiani and Ivan Titov
Neural Expectation Maximization
2017
Klaus Greff et al.
Learning state transitions
2017
Daniel D. Johnson
Deep Sets
2017
Manzil Zaheer et al.
PointNet
2017
CR Qi et al.
A Simple Relation Network
2017
Adam Santoro et al.
CNN for Graphs
2017
Yotam Hechtlinger et al.
Graph Convolutional Encoders
2017
Jasmijn Bastings et al.
Transformer
2017
Ashish Vaswani et al.
Neural Theorem Proving GNN
2017
Mingzhe Wang et al.
Grammar VAE
2017
Matt J. Kusner et al.
Higher Order Logic Step
2017
Cezary Kaliszyk et al.
struc2vec
2017
LFR Ribeiro et al.
Residual Network (ResNet)
2017
H Gao et al.
Wasserstein GAN
2017
Martin Arjovsky et al.
Diffusion-Convolutional NN
2016
James Atwood and Don Towsley
Interaction Networks
2016
Peter Battaglia et al.
Sets and Point Clouds
2016
Siamak Ravanbakhsh et al.
Anisotropic CNN
2016
Davide Boscaini et al.
node2vec
2016
Aditya Grover and Jure Leskovec
Chebyshev GNN
2016
Michaël Defferrard et al.
structure2vec
2016
Hanjun Dai et al.
Structural deep network embedding
2016
Daixin Wang et al.
Interaction Network
2016
Peter Battaglia et al.
Convolutional NN Encoders
2016
Jonas Gehring et al.
StructuralRNN
2016
Ashesh Jain et al.
Graph Convolutional Network
2016
Thomas Kipf and Max Welling
Group Equivariant CNN
2016
Taco Cohen and Max Welling
Learning Graph Representations
2016
Shaosheng (Shelson) Cao et al.
Graph AutoEncoder
2016
Thomas Kipf and Max Welling
CommNet
2016
Sainbayar Sukhbaatar and Rob Fergus
Neural Physics Engine
2016
Michael B. Chang et al.
Patchy-SAN
2016
Mathias Niepert et al.
Unsupervised Perceptual Grouping
2016
Klaus Greff et al.
Convolutional Networks on Graphs
2015
David Duvenaud et al.
Spatial Transformer Networks
2015
Max Jaderberg et al.
Object Centric Predictive Model
2015
Katerina Fragkiadaki et al.
TreeLSTM
2015
Kai Sheng Tai et al.
Pointer Network
2015
Oriol Vinyals et al.
Set2Set
2015
Oriol Vinyals et al.
Gated Graph Sequence NN
2015
Y Li et al.
Geodesic CNN
2015
Jonathan Masci et al.
Gated Recurrent Units (GRU)
2014
Junyoung Chung et al.
Deep Symmetry Networks
2014
Robert Gens and Pedro Domingos
Wavelets on graphs
2013
Joan Bruna et al.
Variational Autoencoder (VAE)
2013
Diederik P. Kingma and Max Welling
Spectral GCN
2013
Joan Bruna et al.
Expected Maximization
2012
Keshi Dai et al.
Relational Markov Networks
2012
Ben Taskar et al.
Weisfeiler-Lehman Method
2011
BL Douglas
Transforming Autoencoders
2011
Geoffrey Hinton et al.
Stacked Denoising Autoencoder
2010
Pascal Vincent et al.
Graph Echo State Network
2010
Claudio Gallicchio and Alessio Micheli
Spatial GNN
2009
Alessio Micheli
The Graph Neural Network Model
2008
Franco Scarselli et al.
Propositional Model Counting
2008
CP Gomes et al.
Hierarchical Hardness models for SAT
2007
L Xu et al.
Graclus Algorithm for Decomposition
2007
Inderjit S. Dhillon et al.
Markov Logic Networks
2006
Matthew Richardson and Pedro Domingos
Graph Neural Network
2005
Marco Gori et al.
Scaling in random networks
1999
Albert-L�szl� Barab�si and Reka Albert
LSTM
1997
Sepp Hochreiter and Juergen Schmidhuber
Fully Polynomial Randomized Approximation
1989
RM Karp et al.
Symmetry Group Theory
1973
W Miller
Evolution of Random Graphs
1960
Paul Erdős and Alfr�d R�nyi
Ford-Fulkerson algorithm
1956
LR Ford and DR Fulkerson
End2End Propositional SAT
Weisfeiler-Lehman Algorithm
B Weisfeiler and AA Lehman
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