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Inductive Relation Prediction by Subgraph Reasoning

Inductive Relation Prediction by Subgraph Reasoning

16 November 2019
Komal K. Teru
E. Denis
William L. Hamilton
    NAI
    AI4CE
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Papers citing "Inductive Relation Prediction by Subgraph Reasoning"

50 / 64 papers shown
Title
Soft Reasoning Paths for Knowledge Graph Completion
Soft Reasoning Paths for Knowledge Graph Completion
Yanning Hou
Sihang Zhou
Ke Liang
Lingyuan Meng
Xiaoshu Chen
K. Xu
Siwei Wang
Xinwang Liu
Jian Huang
29
0
0
06 May 2025
Knowledge Graph Completion with Relation-Aware Anchor Enhancement
Knowledge Graph Completion with Relation-Aware Anchor Enhancement
Duanyang Yuan
Sihang Zhou
Xiaoshu Chen
Dong Wang
K. Liang
Xinwang Liu
Jian Huang
30
0
0
08 Apr 2025
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
156
0
0
31 Jan 2025
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
Yihong Chen
Pushkar Mishra
Luca Franceschi
Pasquale Minervini
Pontus Stenetorp
Sebastian Riedel
67
20
0
17 Jan 2025
UniHR: Hierarchical Representation Learning for Unified Knowledge Graph Link Prediction
UniHR: Hierarchical Representation Learning for Unified Knowledge Graph Link Prediction
Zhiqiang Liu
Mingyang Chen
Yin Hua
Zhuo Chen
Ziqi Liu
Lei Liang
H. Chen
Wen Zhang
AI4TS
24
0
0
11 Nov 2024
Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs
Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs
Kai Wang
Siqiang Luo
Caihua Shan
Yifei Shen
32
0
0
16 Oct 2024
Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion
Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion
Sharmishtha Dutta
Alex Gittens
Mohammed J. Zaki
Charu C. Aggarwal
30
0
0
01 Oct 2024
Sub-graph Based Diffusion Model for Link Prediction
Sub-graph Based Diffusion Model for Link Prediction
Hang Li
Wei Jin
Geri Skenderi
Harry Shomer
Wenzhuo Tang
Wenqi Fan
Jiliang Tang
DiffM
30
0
0
13 Sep 2024
Deep Generative Models for Subgraph Prediction
Deep Generative Models for Subgraph Prediction
Erfaneh Mahmoudzadeh
Parmis Naddaf
Kiarash Zahirnia
Oliver Schulte
BDL
GNN
30
0
0
07 Aug 2024
Predicting from a Different Perspective: A Re-ranking Model for
  Inductive Knowledge Graph Completion
Predicting from a Different Perspective: A Re-ranking Model for Inductive Knowledge Graph Completion
Yuki Iwamoto
Ken Kameiwa
39
1
0
27 May 2024
Knowledge Graph Pruning for Recommendation
Knowledge Graph Pruning for Recommendation
Fake Lin
Xi Zhu
Ziwei Zhao
Deqiang Huang
Yu Yu
Xueying Li
Zhi Zheng
Tong Xu
Enhong Chen
29
0
0
19 May 2024
Prompt-fused framework for Inductive Logical Query Answering
Prompt-fused framework for Inductive Logical Query Answering
Zezhong Xu
Peng Ye
Lei Liang
Hua-zeng Chen
Wen Zhang
25
1
0
19 Mar 2024
Learning Scalable Structural Representations for Link Prediction with
  Bloom Signatures
Learning Scalable Structural Representations for Link Prediction with Bloom Signatures
Tianyi Zhang
Haoteng Yin
Rongzhe Wei
Pan Li
Anshumali Shrivastava
AI4CE
23
1
0
28 Dec 2023
Random Entity Quantization for Parameter-Efficient Compositional
  Knowledge Graph Representation
Random Entity Quantization for Parameter-Efficient Compositional Knowledge Graph Representation
Jiaang Li
Quan Wang
Yi Liu
L. Zhang
Zhendong Mao
29
0
0
24 Oct 2023
Large Language Models can Learn Rules
Large Language Models can Learn Rules
Zhaocheng Zhu
Yuan Xue
Xinyun Chen
Denny Zhou
Jian Tang
Dale Schuurmans
Hanjun Dai
LRM
ReLM
30
63
0
10 Oct 2023
Clinical Trial Recommendations Using Semantics-Based Inductive Inference
  and Knowledge Graph Embeddings
Clinical Trial Recommendations Using Semantics-Based Inductive Inference and Knowledge Graph Embeddings
M. Devarakonda
Smita Mohanty
Raja Rao Sunkishala
Nag Mallampalli
Xiong Liu
23
4
0
27 Sep 2023
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning
Jing Zhu
Xiang Song
V. Ioannidis
Danai Koutra
Christos Faloutsos
59
13
0
25 Sep 2023
Do as I can, not as I get
Do as I can, not as I get
Shangfei Zheng
Hongzhi Yin
Tong Chen
Quoc Viet Hung Nguyen
Wei Chen
Lei Zhao
26
1
0
17 Jun 2023
On the Correspondence Between Monotonic Max-Sum GNNs and Datalog
On the Correspondence Between Monotonic Max-Sum GNNs and Datalog
David Tena Cucala
Bernardo Cuenca Grau
B. Motik
Egor V. Kostylev
25
8
0
29 May 2023
Query Structure Modeling for Inductive Logical Reasoning Over Knowledge
  Graphs
Query Structure Modeling for Inductive Logical Reasoning Over Knowledge Graphs
Siyuan Wang
Zhongyu Wei
Meng Han
Zhihao Fan
Haijun Shan
Qi Zhang
Xuanjing Huang
27
6
0
23 May 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
27
20
0
20 Apr 2023
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph
  Representation Learning
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning
Haoteng Yin
Muhan Zhang
Jianguo Wang
Pan Li
66
8
0
06 Mar 2023
A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge
  Graphs
A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs
Xingyue Huang
Miguel Romero
.Ismail .Ilkan Ceylan
Pablo Barceló
35
24
0
04 Feb 2023
Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for
  Knowledge Graphs
Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs
Mingyang Chen
Wen Zhang
Yuxia Geng
Zezhong Xu
Jeff Z. Pan
Hua-zeng Chen
24
18
0
03 Feb 2023
A Retrieve-and-Read Framework for Knowledge Graph Link Prediction
A Retrieve-and-Read Framework for Knowledge Graph Link Prediction
Vardaan Pahuja
Boshi Wang
Hugo Latapie
Jayanth Srinivasa
Yu-Chuan Su
28
13
0
19 Dec 2022
Relation-dependent Contrastive Learning with Cluster Sampling for
  Inductive Relation Prediction
Relation-dependent Contrastive Learning with Cluster Sampling for Inductive Relation Prediction
Jianfeng Wu
Sijie Mai
Haifeng Hu
16
0
0
22 Nov 2022
RAILD: Towards Leveraging Relation Features for Inductive Link
  Prediction In Knowledge Graphs
RAILD: Towards Leveraging Relation Features for Inductive Link Prediction In Knowledge Graphs
Genet Asefa Gesese
Harald Sack
Mehwish Alam
27
22
0
21 Nov 2022
Instance-based Learning for Knowledge Base Completion
Instance-based Learning for Knowledge Base Completion
Wanyun Cui
Xingran Chen
24
7
0
13 Nov 2022
Position-Aware Subgraph Neural Networks with Data-Efficient Learning
Position-Aware Subgraph Neural Networks with Data-Efficient Learning
Chang-Shu Liu
Yuwen Yang
Zhe Xie
Hongtao Lu
Yue Ding
33
4
0
01 Nov 2022
Learning on Large-scale Text-attributed Graphs via Variational Inference
Learning on Large-scale Text-attributed Graphs via Variational Inference
Jianan Zhao
Meng Qu
Chaozhuo Li
Hao Yan
Qian Liu
Rui Li
Xing Xie
Jian Tang
VLM
35
131
0
26 Oct 2022
RulE: Knowledge Graph Reasoning with Rule Embedding
RulE: Knowledge Graph Reasoning with Rule Embedding
Xiaojuan Tang
Song-Chun Zhu
Yitao Liang
Muhan Zhang
15
2
0
24 Oct 2022
Few-shot Relational Reasoning via Connection Subgraph Pretraining
Few-shot Relational Reasoning via Connection Subgraph Pretraining
Qian Huang
Hongyu Ren
J. Leskovec
LRM
30
24
0
13 Oct 2022
TwiRGCN: Temporally Weighted Graph Convolution for Question Answering
  over Temporal Knowledge Graphs
TwiRGCN: Temporally Weighted Graph Convolution for Question Answering over Temporal Knowledge Graphs
Aditya Sharma
Apoorv Saxena
Chitrank Gupta
Seyed Mehran Kazemi
Partha P. Talukdar
Soumen Chakrabarti
20
16
0
12 Oct 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
27
14
0
22 Aug 2022
Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs
Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs
Yuxin Wang
Yuanning Cui
Wenqiang Liu
Zequn Sun
Yiqiao Jiang
Kexin Han
Wei Hu
24
9
0
23 Jul 2022
Disentangled Ontology Embedding for Zero-shot Learning
Disentangled Ontology Embedding for Zero-shot Learning
Yuxia Geng
Jiaoyan Chen
Wen Zhang
Yajing Xu
Zhuo Chen
Jeff Z. Pan
Yufen Huang
Feiyu Xiong
Hua-zeng Chen
20
23
0
08 Jun 2022
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs
Zhaocheng Zhu
Xinyu Yuan
Mikhail Galkin
Sophie Xhonneux
Ming Zhang
Maxime Gazeau
Jian Tang
GNN
LRM
31
36
0
07 Jun 2022
Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the
  Federated Setting
Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting
Mingyang Chen
Wen Zhang
Zhen Yao
Xian-gan Chen
Mengxiao Ding
Fei Huang
Huajun Chen
FedML
18
26
0
10 May 2022
A Unified Framework for Rank-based Evaluation Metrics for Link
  Prediction in Knowledge Graphs
A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs
Charles Tapley Hoyt
M. Berrendorf
Mikhail Galkin
Volker Tresp
Benjamin M. Gyori
26
20
0
14 Mar 2022
SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained
  Language Models
SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models
Liang Wang
Wei-Ye Zhao
Zhuoyu Wei
Jingming Liu
28
178
0
04 Mar 2022
An Open Challenge for Inductive Link Prediction on Knowledge Graphs
An Open Challenge for Inductive Link Prediction on Knowledge Graphs
Mikhail Galkin
M. Berrendorf
Charles Tapley Hoyt
AI4CE
25
22
0
03 Mar 2022
Equivariant and Stable Positional Encoding for More Powerful Graph
  Neural Networks
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks
Hongya Wang
Haoteng Yin
Muhan Zhang
Pan Li
35
107
0
01 Mar 2022
Knowledge Base Question Answering by Case-based Reasoning over Subgraphs
Knowledge Base Question Answering by Case-based Reasoning over Subgraphs
Rajarshi Das
Ameya Godbole
Ankita Rajaram Naik
Elliot Tower
Robin Jia
Manzil Zaheer
Hannaneh Hajishirzi
Andrew McCallum
25
53
0
22 Feb 2022
Combining Optimal Path Search With Task-Dependent Learning in a Neural
  Network
Combining Optimal Path Search With Task-Dependent Learning in a Neural Network
Tomas Kulvicius
M. Tamosiunaite
F. Worgotter
30
1
0
26 Jan 2022
A Critical Review of Inductive Logic Programming Techniques for
  Explainable AI
A Critical Review of Inductive Logic Programming Techniques for Explainable AI
Zheng Zhang
Liangliang Xu
L. Yilmaz
Bo Liu
20
7
0
31 Dec 2021
Rule Induction in Knowledge Graphs Using Linear Programming
Rule Induction in Knowledge Graphs Using Linear Programming
S. Dash
Joao Goncalves
26
5
0
15 Oct 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
21
20
0
06 Oct 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
30
21
0
26 Jul 2021
NodePiece: Compositional and Parameter-Efficient Representations of
  Large Knowledge Graphs
NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs
Mikhail Galkin
E. Denis
Jiapeng Wu
William L. Hamilton
OCL
22
86
0
23 Jun 2021
Neural Bellman-Ford Networks: A General Graph Neural Network Framework
  for Link Prediction
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
Zhaocheng Zhu
Zuobai Zhang
Louis-Pascal Xhonneux
Jian Tang
GNN
33
300
0
13 Jun 2021
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