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Discriminative Embeddings of Latent Variable Models for Structured Data

Discriminative Embeddings of Latent Variable Models for Structured Data

17 March 2016
H. Dai
Bo Dai
Le Song
    BDL
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Papers citing "Discriminative Embeddings of Latent Variable Models for Structured Data"

43 / 293 papers shown
Title
Adversarial Attack on Graph Structured Data
Adversarial Attack on Graph Structured Data
H. Dai
Hui Li
Tian Tian
Xin Huang
L. Wang
Jun Zhu
Le Song
GNN
AAML
OOD
36
759
0
06 Jun 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Rex Ying
Ruining He
Kaifeng Chen
Pong Eksombatchai
William L. Hamilton
J. Leskovec
GNN
BDL
114
3,481
0
06 Jun 2018
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CE
NAI
115
3,083
0
04 Jun 2018
Graph networks as learnable physics engines for inference and control
Graph networks as learnable physics engines for inference and control
Alvaro Sanchez-Gonzalez
N. Heess
Jost Tobias Springenberg
J. Merel
Martin Riedmiller
R. Hadsell
Peter W. Battaglia
GNN
AI4CE
PINN
OCL
42
594
0
04 Jun 2018
KG^2: Learning to Reason Science Exam Questions with Contextual
  Knowledge Graph Embeddings
KG^2: Learning to Reason Science Exam Questions with Contextual Knowledge Graph Embeddings
Yuyu Zhang
H. Dai
Kamil Toraman
Le Song
RALM
11
28
0
31 May 2018
Graph Capsule Convolutional Neural Networks
Graph Capsule Convolutional Neural Networks
Saurabh Verma
Zhi-Li Zhang
GNN
30
128
0
21 May 2018
Learning Graph-Level Representations with Recurrent Neural Networks
Learning Graph-Level Representations with Recurrent Neural Networks
Yu Jin
J. JáJá
GNN
SSL
33
13
0
20 May 2018
Learning Permutations with Sinkhorn Policy Gradient
Learning Permutations with Sinkhorn Policy Gradient
Patrick Emami
Sanjay Ranka
16
54
0
18 May 2018
Feature Propagation on Graph: A New Perspective to Graph Representation
  Learning
Feature Propagation on Graph: A New Perspective to Graph Representation Learning
B. Xiang
Ziqi Liu
Jun Zhou
Xiaolong Li
3DV
GNN
32
7
0
17 Apr 2018
Graphite: Iterative Generative Modeling of Graphs
Graphite: Iterative Generative Modeling of Graphs
Aditya Grover
Aaron Zweig
Stefano Ermon
BDL
33
296
0
28 Mar 2018
Learning the Multiple Traveling Salesmen Problem with Permutation
  Invariant Pooling Networks
Learning the Multiple Traveling Salesmen Problem with Permutation Invariant Pooling Networks
Yoav Kaempfer
Lior Wolf
27
71
0
26 Mar 2018
Inference in Probabilistic Graphical Models by Graph Neural Networks
Inference in Probabilistic Graphical Models by Graph Neural Networks
Kijung Yoon
Renjie Liao
Yuwen Xiong
Lisa Zhang
Ethan Fetaya
R. Urtasun
R. Zemel
Xaq Pitkow
TPM
31
99
0
21 Mar 2018
Representation Learning over Dynamic Graphs
Representation Learning over Dynamic Graphs
Rakshit S. Trivedi
Mehrdad Farajtabar
P. Biswal
H. Zha
AI4TS
AI4CE
11
51
0
11 Mar 2018
Attention-based Graph Neural Network for Semi-supervised Learning
Attention-based Graph Neural Network for Semi-supervised Learning
K. K. Thekumparampil
Chong-Jun Wang
Sewoong Oh
Li-Jia Li
GNN
29
332
0
10 Mar 2018
Concise Fuzzy Planar Embedding of Graphs: a Dimensionality Reduction
  Approach
Concise Fuzzy Planar Embedding of Graphs: a Dimensionality Reduction Approach
F. Abu-Khzam
Rana H. Mouawi
Amer Hajj Ahmad
Sergio Thoumi
22
1
0
08 Mar 2018
Link Prediction Based on Graph Neural Networks
Link Prediction Based on Graph Neural Networks
Muhan Zhang
Yixin Chen
GNN
17
1,899
0
27 Feb 2018
Syntax-Directed Variational Autoencoder for Structured Data
Syntax-Directed Variational Autoencoder for Structured Data
H. Dai
Yingtao Tian
Bo Dai
Steven Skiena
Le Song
41
324
0
24 Feb 2018
Learning Topic Models by Neighborhood Aggregation
Learning Topic Models by Neighborhood Aggregation
Ryohei Hisano
19
3
0
22 Feb 2018
Machine Learning Methods for Data Association in Multi-Object Tracking
Machine Learning Methods for Data Association in Multi-Object Tracking
Patrick Emami
P. Pardalos
L. Elefteriadou
Sanjay Ranka
VOT
27
40
0
19 Feb 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
236
1,340
0
12 Feb 2018
Reinforcement Learning for Solving the Vehicle Routing Problem
Reinforcement Learning for Solving the Vehicle Routing Problem
M. Nazari
Afshin Oroojlooy
L. Snyder
Martin Takáč
44
877
0
12 Feb 2018
mvn2vec: Preservation and Collaboration in Multi-View Network Embedding
mvn2vec: Preservation and Collaboration in Multi-View Network Embedding
Yu Shi
Fangqiu Han
Xinwei He
Xinran He
Carl Yang
Jie Luo
Jiawei Han
3DV
11
55
0
19 Jan 2018
Topology Adaptive Graph Convolutional Networks
Topology Adaptive Graph Convolutional Networks
Jian Du
Shanghang Zhang
Guanhang Wu
José M. F. Moura
S. Kar
GNN
35
298
0
28 Oct 2017
Learning Structural Node Embeddings Via Diffusion Wavelets
Learning Structural Node Embeddings Via Diffusion Wavelets
Claire Donnat
Marinka Zitnik
David Hallac
J. Leskovec
GNN
DiffM
30
386
0
27 Oct 2017
Watch Your Step: Learning Node Embeddings via Graph Attention
Watch Your Step: Learning Node Embeddings via Graph Attention
Sami Abu-El-Haija
Bryan Perozzi
Rami Al-Rfou
Alexander A. Alemi
GNN
29
32
0
26 Oct 2017
A Comprehensive Survey of Graph Embedding: Problems, Techniques and
  Applications
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications
Hongyun Cai
V. Zheng
Kevin Chen-Chuan Chang
AI4TS
53
1,781
0
22 Sep 2017
Latent Embeddings for Collective Activity Recognition
Latent Embeddings for Collective Activity Recognition
Yongyi Tang
Peizhen Zhang
Jianfang Hu
Weishi Zheng
BDL
GNN
19
16
0
20 Sep 2017
Representation Learning on Graphs: Methods and Applications
Representation Learning on Graphs: Methods and Applications
William L. Hamilton
Rex Ying
J. Leskovec
GNN
46
1,966
0
17 Sep 2017
Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network
Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network
Wengong Jin
Connor W. Coley
Regina Barzilay
Tommi Jaakkola
26
270
0
13 Sep 2017
Variational Reasoning for Question Answering with Knowledge Graph
Variational Reasoning for Question Answering with Knowledge Graph
Yuyu Zhang
H. Dai
Zornitsa Kozareva
Alex Smola
Le Song
31
467
0
12 Sep 2017
Neural Network-based Graph Embedding for Cross-Platform Binary Code
  Similarity Detection
Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection
Xiaojun Xu
Chang-rui Liu
Qian Feng
Heng Yin
Le Song
D. Song
GNN
16
574
0
22 Aug 2017
Learning Graph While Training: An Evolving Graph Convolutional Neural
  Network
Learning Graph While Training: An Evolving Graph Convolutional Neural Network
Ruoyu Li
Junzhou Huang
GNN
30
7
0
10 Aug 2017
Graph Convolutional Matrix Completion
Graph Convolutional Matrix Completion
Rianne van den Berg
Thomas Kipf
Max Welling
GNN
22
1,200
0
07 Jun 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
69
14,905
0
07 Jun 2017
Deriving Neural Architectures from Sequence and Graph Kernels
Deriving Neural Architectures from Sequence and Graph Kernels
Tao Lei
Wengong Jin
Regina Barzilay
Tommi Jaakkola
GNN
45
137
0
25 May 2017
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs
Rakshit S. Trivedi
H. Dai
Yichen Wang
Le Song
BDL
32
472
0
16 May 2017
Learning Edge Representations via Low-Rank Asymmetric Projections
Learning Edge Representations via Low-Rank Asymmetric Projections
Sami Abu-El-Haija
Bryan Perozzi
Rami Al-Rfou
11
76
0
16 May 2017
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on
  Graphs
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
M. Simonovsky
N. Komodakis
GNN
21
1,221
0
10 Apr 2017
Learning Combinatorial Optimization Algorithms over Graphs
Learning Combinatorial Optimization Algorithms over Graphs
H. Dai
Elias Boutros Khalil
Yuyu Zhang
B. Dilkina
Le Song
26
1,444
0
05 Apr 2017
Shift Aggregate Extract Networks
Shift Aggregate Extract Networks
Francesco Orsini
Daniele Baracchi
P. Frasconi
BDL
GNN
AI4TS
AI4CE
20
16
0
16 Mar 2017
Global Weisfeiler-Lehman Graph Kernels
Global Weisfeiler-Lehman Graph Kernels
Christopher Morris
Kristian Kersting
Petra Mutzel
18
1
0
07 Mar 2017
Deep Coevolutionary Network: Embedding User and Item Features for
  Recommendation
Deep Coevolutionary Network: Embedding User and Item Features for Recommendation
H. Dai
Yichen Wang
Rakshit S. Trivedi
Le Song
GNN
14
102
0
13 Sep 2016
The Multiscale Laplacian Graph Kernel
The Multiscale Laplacian Graph Kernel
Risi Kondor
Horace Pan
19
175
0
20 Mar 2016
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