ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2302.02209
  4. Cited By
A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge
  Graphs

A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs

4 February 2023
Xingyue Huang
Miguel Romero
.Ismail .Ilkan Ceylan
Pablo Barceló
ArXivPDFHTML

Papers citing "A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs"

18 / 18 papers shown
Title
A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context
  Reasoning
A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning
Yuanning Cui
Zequn Sun
Wei Hu
ReLM
LRM
16
0
0
16 Oct 2024
One Model, Any Conjunctive Query: Graph Neural Networks for Answering
  Complex Queries over Knowledge Graphs
One Model, Any Conjunctive Query: Graph Neural Networks for Answering Complex Queries over Knowledge Graphs
Krzysztof Olejniczak
Xingyue Huang
.Ismail .Ilkan Ceylan
Mikhail Galkin
GNN
49
0
0
21 Sep 2024
KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning
KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning
Junnan Liu
Qianren Mao
Weifeng Jiang
Jianxin Li
28
0
0
19 Sep 2024
Expanding the Scope: Inductive Knowledge Graph Reasoning with
  Multi-Starting Progressive Propagation
Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation
Zhoutian Shao
Yuanning Cui
Wei Hu
ReLM
LRM
AI4CE
25
0
0
15 Jul 2024
Foundations and Frontiers of Graph Learning Theory
Foundations and Frontiers of Graph Learning Theory
Yu Huang
Min Zhou
Menglin Yang
Zhen Wang
Muhan Zhang
Jie Wang
Hong Xie
Hao Wang
Defu Lian
Enhong Chen
AI4CE
GNN
43
2
0
03 Jul 2024
Towards Better Benchmark Datasets for Inductive Knowledge Graph
  Completion
Towards Better Benchmark Datasets for Inductive Knowledge Graph Completion
Harry Shomer
Jay Revolinsky
Jiliang Tang
19
0
0
14 Jun 2024
PAC-Bayesian Generalization Bounds for Knowledge Graph Representation
  Learning
PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning
Jaejun Lee
Minsung Hwang
J. Whang
26
1
0
10 May 2024
Link Prediction with Relational Hypergraphs
Link Prediction with Relational Hypergraphs
Xingyue Huang
Miguel Romero
Pablo Barceló
Michael M. Bronstein
.Ismail .Ilkan Ceylan
35
2
0
06 Feb 2024
Position: Graph Foundation Models are Already Here
Position: Graph Foundation Models are Already Here
Haitao Mao
Zhikai Chen
Wenzhuo Tang
Jianan Zhao
Yao Ma
Tong Zhao
Neil Shah
Mikhail Galkin
Jiliang Tang
AI4CE
46
25
0
03 Feb 2024
Understanding Inter-Session Intentions via Complex Logical Reasoning
Understanding Inter-Session Intentions via Complex Logical Reasoning
Jiaxin Bai
Chen Luo
Zheng Li
Qingyu Yin
Yangqiu Song
13
3
0
21 Dec 2023
Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational
  and Temporal Graphs
Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational and Temporal Graphs
Yeyuan Chen
Dingmin Wang
11
0
0
03 Nov 2023
Towards Foundation Models for Knowledge Graph Reasoning
Towards Foundation Models for Knowledge Graph Reasoning
Mikhail Galkin
Xinyu Yuan
Hesham Mostafa
Jian Tang
Zhaocheng Zhu
VLM
ReLM
19
34
0
06 Oct 2023
On the Power of the Weisfeiler-Leman Test for Graph Motif Parameters
On the Power of the Weisfeiler-Leman Test for Graph Motif Parameters
Matthias Lanzinger
Pablo Barceló
10
7
0
29 Sep 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
11
7
0
29 May 2023
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph
  Databases
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases
Hongyu Ren
Mikhail Galkin
Michael Cochez
Zhaocheng Zhu
J. Leskovec
NAI
GNN
34
35
0
26 Mar 2023
Understanding Expressivity of GNN in Rule Learning
Understanding Expressivity of GNN in Rule Learning
Haiquan Qiu
Yongqi Zhang
Yong Li
Quanming Yao
AI4CE
25
5
0
22 Mar 2023
Geodesic Graph Neural Network for Efficient Graph Representation
  Learning
Geodesic Graph Neural Network for Efficient Graph Representation Learning
Lecheng Kong
Yixin Chen
Muhan Zhang
GNN
AI4CE
92
21
0
06 Oct 2022
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
258
1,394
0
01 Dec 2016
1