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Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over
  Few-Shot Relations

Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations

30 August 2019
Xin Lv
Yuxian Gu
Xu Han
Lei Hou
Juan-Zi Li
Zhiyuan Liu
    LRM
ArXivPDFHTML

Papers citing "Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations"

21 / 21 papers shown
Title
PathE: Leveraging Entity-Agnostic Paths for Parameter-Efficient Knowledge Graph Embeddings
PathE: Leveraging Entity-Agnostic Paths for Parameter-Efficient Knowledge Graph Embeddings
Ioannis Reklos
Jacopo de Berardinis
Elena Simperl
Albert Meroño-Peñuela
248
0
0
31 Jan 2025
On the Evolution of Knowledge Graphs: A Survey and Perspective
On the Evolution of Knowledge Graphs: A Survey and Perspective
Xuhui Jiang
Chengjin Xu
Yinghan Shen
Xun Sun
Lumingyuan Tang
Saizhuo Wang
Zhongwu Chen
Yuanzhuo Wang
Jian Guo
35
8
0
07 Oct 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and
  Future Directions
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions
Zemin Liu
Yuan N. Li
Nan-Fang Chen
Qian Wang
Bryan Hooi
Bin He
FaML
21
13
0
26 Aug 2023
SARF: Aliasing Relation Assisted Self-Supervised Learning for Few-shot
  Relation Reasoning
SARF: Aliasing Relation Assisted Self-Supervised Learning for Few-shot Relation Reasoning
Lingyuan Meng
K. Liang
Bin Xiao
Sihang Zhou
Yue Liu
Meng Liu
Xihong Yang
Xinwang Liu
32
20
0
20 Apr 2023
Answering Complex Logical Queries on Knowledge Graphs via Query
  Computation Tree Optimization
Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization
Yushi Bai
Xin Lv
Juanzi Li
Lei Hou
26
31
0
19 Dec 2022
Few-shot Relational Reasoning via Connection Subgraph Pretraining
Few-shot Relational Reasoning via Connection Subgraph Pretraining
Qian Huang
Hongyu Ren
J. Leskovec
LRM
35
24
0
13 Oct 2022
MMKGR: Multi-hop Multi-modal Knowledge Graph Reasoning
MMKGR: Multi-hop Multi-modal Knowledge Graph Reasoning
Shangfei Zheng
Weiqing Wang
Jianfeng Qu
Hongzhi Yin
Wei Chen
Lei Zhao
LRM
26
22
0
03 Sep 2022
Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities
Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities
Yuanning Cui
Yuxin Wang
Zequn Sun
Wenqiang Liu
Yiqiao Jiang
Kexin Han
Wei Hu
LRM
30
14
0
22 Aug 2022
Few-shot Named Entity Recognition with Entity-level Prototypical Network
  Enhanced by Dispersedly Distributed Prototypes
Few-shot Named Entity Recognition with Entity-level Prototypical Network Enhanced by Dispersedly Distributed Prototypes
Bin Ji
Shasha Li
Shaoduo Gan
Jie Yu
Jun Ma
Huijun Liu
21
32
0
17 Aug 2022
Metric Based Few-Shot Graph Classification
Metric Based Few-Shot Graph Classification
Donato Crisostomi
Simone Antonelli
Valentino Maiorca
Luca Moschella
R. Marin
Emanuele Rodolà
44
5
0
08 Jun 2022
Few-Shot Learning on Graphs
Few-Shot Learning on Graphs
Chuxu Zhang
Kaize Ding
Jundong Li
Xiangliang Zhang
Yanfang Ye
Nitesh Chawla
Huan Liu
34
18
0
17 Mar 2022
Multi-task Pre-training Language Model for Semantic Network Completion
Multi-task Pre-training Language Model for Semantic Network Completion
Da Li
Sen Yang
Kele Xu
Ming Yi
Yukai He
Huaimin Wang
48
30
0
13 Jan 2022
Zero-shot and Few-shot Learning with Knowledge Graphs: A Comprehensive
  Survey
Zero-shot and Few-shot Learning with Knowledge Graphs: A Comprehensive Survey
Jiaoyan Chen
Yuxia Geng
Zhuo Chen
Jeff Z. Pan
Yuan He
Wen Zhang
Ian Horrocks
Hua-zeng Chen
32
43
0
18 Dec 2021
Subgraph-aware Few-Shot Inductive Link Prediction via Meta-Learning
Subgraph-aware Few-Shot Inductive Link Prediction via Meta-Learning
Shuangjia Zheng
Sijie Mai
Ya Sun
Haifeng Hu
Yuedong Yang
38
21
0
26 Jul 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
44
24
0
11 Jun 2021
Relational Learning with Gated and Attentive Neighbor Aggregator for
  Few-Shot Knowledge Graph Completion
Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion
Guanglin Niu
Yang Li
Chengguang Tang
Ruiying Geng
Jian Dai
Qiao Liu
Hao Wang
Jian Sun
Fei Huang
Luo Si
33
88
0
27 Apr 2021
A Knowledge Enhanced Learning and Semantic Composition Model for
  Multi-Claim Fact Checking
A Knowledge Enhanced Learning and Semantic Composition Model for Multi-Claim Fact Checking
Shuai Wang
Penghui Wei
Jiahao Zhao
Wenji Mao
KELM
32
0
0
27 Apr 2021
Few-shot Learning for Multi-label Intent Detection
Few-shot Learning for Multi-label Intent Detection
Yutai Hou
Y. Lai
Yushan Wu
Wanxiang Che
Ting Liu
VLM
21
49
0
11 Oct 2020
Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse
  Knowledge Graph
Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph
Xin Lv
Xu Han
Lei Hou
Juan-Zi Li
Zhiyuan Liu
Wei Zhang
Yichi Zhang
Hao Kong
Suhui Wu
LRM
30
63
0
05 Oct 2020
A Simple Approach to Case-Based Reasoning in Knowledge Bases
A Simple Approach to Case-Based Reasoning in Knowledge Bases
Rajarshi Das
Ameya Godbole
S. Dhuliawala
Manzil Zaheer
Andrew McCallum
21
24
0
25 Jun 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
496
11,727
0
09 Mar 2017
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