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Rethinking Knowledge Graph Propagation for Zero-Shot Learning

Rethinking Knowledge Graph Propagation for Zero-Shot Learning

29 May 2018
Michael C. Kampffmeyer
Yinbo Chen
Xiaodan Liang
Hao Wang
Yujia Zhang
Eric P. Xing
ArXivPDFHTML

Papers citing "Rethinking Knowledge Graph Propagation for Zero-Shot Learning"

39 / 39 papers shown
Title
A Zero-shot Learning Method Based on Large Language Models for Multi-modal Knowledge Graph Embedding
A Zero-shot Learning Method Based on Large Language Models for Multi-modal Knowledge Graph Embedding
Bingchen Liu
Jingchen Li
Naixing Xu
X. Li
31
0
0
10 Mar 2025
KiNETGAN: Enabling Distributed Network Intrusion Detection through
  Knowledge-Infused Synthetic Data Generation
KiNETGAN: Enabling Distributed Network Intrusion Detection through Knowledge-Infused Synthetic Data Generation
Anantaa Kotal
Brandon Luton
Anupam Joshi
23
1
0
26 May 2024
Improving deep learning with prior knowledge and cognitive models: A
  survey on enhancing explainability, adversarial robustness and zero-shot
  learning
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning
F. Mumuni
A. Mumuni
AAML
34
5
0
11 Mar 2024
Spatio-Temporal driven Attention Graph Neural Network with Block
  Adjacency matrix (STAG-NN-BA)
Spatio-Temporal driven Attention Graph Neural Network with Block Adjacency matrix (STAG-NN-BA)
U. Nazir
W. Islam
M. Taj
16
3
0
25 Mar 2023
DiRaC-I: Identifying Diverse and Rare Training Classes for Zero-Shot
  Learning
DiRaC-I: Identifying Diverse and Rare Training Classes for Zero-Shot Learning
Sandipan Sarma
Arijit Sur
VLM
13
1
0
31 Dec 2022
I2MVFormer: Large Language Model Generated Multi-View Document
  Supervision for Zero-Shot Image Classification
I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification
Muhammad Ferjad Naeem
Muhammad Gul Zain Ali Khan
Yongqin Xian
Muhammad Zeshan Afzal
D. Stricker
Luc Van Gool
F. Tombari
VLM
22
51
0
05 Dec 2022
Contrastive Language-Image Pre-Training with Knowledge Graphs
Contrastive Language-Image Pre-Training with Knowledge Graphs
Xuran Pan
Tianzhu Ye
Dongchen Han
S. Song
Gao Huang
VLM
CLIP
22
43
0
17 Oct 2022
GPNet: Simplifying Graph Neural Networks via Multi-channel Geometric
  Polynomials
GPNet: Simplifying Graph Neural Networks via Multi-channel Geometric Polynomials
Xun Liu
Alex Hay-Man Ng
Fangyu Lei
Yikuan Zhang
Zhengmin Li
GNN
22
1
0
30 Sep 2022
Disentangled Action Recognition with Knowledge Bases
Disentangled Action Recognition with Knowledge Bases
Zhekun Luo
Shalini Ghosh
Devin Guillory
Keizo Kato
Trevor Darrell
Huijuan Xu
21
7
0
04 Jul 2022
DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning
DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning
Zhuo Chen
Yufen Huang
Jiaoyan Chen
Yuxia Geng
Wen Zhang
Yin Fang
Jeff Z. Pan
Huajun Chen
VLM
24
64
0
04 Jul 2022
FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic
  descriptions, and Conceptual Relations
FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations
Lingjie Mei
Jiayuan Mao
Ziqi Wang
Chuang Gan
J. Tenenbaum
VLM
12
21
0
30 Mar 2022
End-to-End Active Speaker Detection
End-to-End Active Speaker Detection
Juan Carlos León Alcázar
M. Cordes
Chen Zhao
Bernard Ghanem
22
27
0
27 Mar 2022
VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning
VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning
Wenjia Xu
Yongqin Xian
Jiuniu Wang
Bernt Schiele
Zeynep Akata
VLM
11
40
0
20 Mar 2022
Directed Graph Auto-Encoders
Directed Graph Auto-Encoders
Georgios Kollias
Vasileios Kalantzis
Tsuyoshi Idé
A. Lozano
Naoki Abe
BDL
GNN
28
34
0
25 Feb 2022
A Survey on Visual Transfer Learning using Knowledge Graphs
A Survey on Visual Transfer Learning using Knowledge Graphs
Sebastian Monka
Lavdim Halilaj
Achim Rettinger
19
23
0
27 Jan 2022
TransZero++: Cross Attribute-Guided Transformer for Zero-Shot Learning
TransZero++: Cross Attribute-Guided Transformer for Zero-Shot Learning
Shiming Chen
Zi-Quan Hong
Wenjin Hou
Guosen Xie
Yibing Song
Jian-jun Zhao
Xinge You
Shuicheng Yan
Ling Shao
ViT
17
44
0
16 Dec 2021
Learning on Random Balls is Sufficient for Estimating (Some) Graph
  Parameters
Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters
Takanori Maehara
Hoang NT
32
2
0
05 Nov 2021
Cycle Representation Learning for Inductive Relation Prediction
Cycle Representation Learning for Inductive Relation Prediction
Zuoyu Yan
Tengfei Ma
Liangcai Gao
Zhi Tang
Chao Chen
19
20
0
06 Oct 2021
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot
  Learning for Structured Data
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data
Yang Hu
Adriane P. Chapman
Guihua Wen
Dame Wendy Hall
34
24
0
11 Jun 2021
Data-Efficient Language-Supervised Zero-Shot Learning with
  Self-Distillation
Data-Efficient Language-Supervised Zero-Shot Learning with Self-Distillation
Rui Cheng
Bichen Wu
Peizhao Zhang
Peter Vajda
Joseph E. Gonzalez
CLIP
VLM
21
31
0
18 Apr 2021
Task-Independent Knowledge Makes for Transferable Representations for
  Generalized Zero-Shot Learning
Task-Independent Knowledge Makes for Transferable Representations for Generalized Zero-Shot Learning
Chaoqun Wang
Xuejin Chen
Shaobo Min
Xiaoyan Sun
Houqiang Li
VLM
26
18
0
05 Apr 2021
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene
  Graph Generation
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation
Rongjie Li
Songyang Zhang
Bo Wan
Xuming He
182
214
0
01 Apr 2021
OntoZSL: Ontology-enhanced Zero-shot Learning
OntoZSL: Ontology-enhanced Zero-shot Learning
Yuxia Geng
Jiaoyan Chen
Zhuo Chen
Jeff Z. Pan
Zhiquan Ye
Zonggang Yuan
Yantao Jia
Huajun Chen
VLM
28
80
0
15 Feb 2021
Improving Zero Shot Learning Baselines with Commonsense Knowledge
Improving Zero Shot Learning Baselines with Commonsense Knowledge
Abhinaba Roy
Deepanway Ghosal
Erik Cambria
Navonil Majumder
Rada Mihalcea
Soujanya Poria
BDL
VLM
24
29
0
11 Dec 2020
Towards Zero-Shot Learning with Fewer Seen Class Examples
Towards Zero-Shot Learning with Fewer Seen Class Examples
Vinay K. Verma
Ashish Mishra
Anubha Pandey
H. Murthy
Piyush Rai
VLM
28
15
0
14 Nov 2020
Attribute Propagation Network for Graph Zero-shot Learning
Attribute Propagation Network for Graph Zero-shot Learning
Lu Liu
Tianyi Zhou
Guodong Long
Jing Jiang
Chengqi Zhang
VLM
16
75
0
24 Sep 2020
Implicit Graph Neural Networks
Implicit Graph Neural Networks
Fangda Gu
Heng Chang
Wenwu Zhu
Somayeh Sojoudi
L. Ghaoui
GNN
18
147
0
14 Sep 2020
SCG-Net: Self-Constructing Graph Neural Networks for Semantic
  Segmentation
SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation
Qinghui Liu
Michael C. Kampffmeyer
Robert Jenssen
Arnt-Børre Salberg
GNN
SSeg
28
10
0
03 Sep 2020
Few-Shot Object Detection via Knowledge Transfer
Few-Shot Object Detection via Knowledge Transfer
Geonuk Kim
Hong G Jung
Seong-Whan Lee
ObjD
19
27
0
28 Aug 2020
Ontology-guided Semantic Composition for Zero-Shot Learning
Ontology-guided Semantic Composition for Zero-Shot Learning
Jiaoyan Chen
Freddy Lecue
Yuxia Geng
Jeff Z. Pan
Huajun Chen
VLM
17
15
0
30 Jun 2020
Zero-Shot Learning and its Applications from Autonomous Vehicles to
  COVID-19 Diagnosis: A Review
Zero-Shot Learning and its Applications from Autonomous Vehicles to COVID-19 Diagnosis: A Review
Mahdi Rezaei
Mahsa Shahidi
19
53
0
29 Apr 2020
Multi-view Self-Constructing Graph Convolutional Networks with Adaptive
  Class Weighting Loss for Semantic Segmentation
Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation
Qinghui Liu
Michael C. Kampffmeyer
Robert Jenssen
Arnt-Børre Salberg
SSL
17
35
0
21 Apr 2020
Towards Discriminability and Diversity: Batch Nuclear-norm Maximization
  under Label Insufficient Situations
Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations
Shuhao Cui
Shuhui Wang
Junbao Zhuo
Liang Li
Qingming Huang
Q. Tian
16
359
0
27 Mar 2020
Deep Graph Similarity Learning: A Survey
Deep Graph Similarity Learning: A Survey
Guixiang Ma
Nesreen Ahmed
Theodore L. Willke
Philip S. Yu
GNN
19
76
0
25 Dec 2019
Coherent Comment Generation for Chinese Articles with a
  Graph-to-Sequence Model
Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence Model
Wei Li
Jingjing Xu
Yancheng He
Shengli Yan
Yunfang Wu
Xu Sun
12
47
0
04 Jun 2019
PAN: Path Integral Based Convolution for Deep Graph Neural Networks
PAN: Path Integral Based Convolution for Deep Graph Neural Networks
Zheng Ma
Ming Li
Yuguang Wang
GNN
15
24
0
24 Apr 2019
Unsupervised Open Domain Recognition by Semantic Discrepancy
  Minimization
Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization
Junbao Zhuo
Shuhui Wang
Shuhao Cui
Qingming Huang
14
35
0
18 Apr 2019
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
GNN
28
5,397
0
20 Dec 2018
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
238
3,234
0
24 Nov 2016
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