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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

13 June 2021
Zhaocheng Zhu
Zuobai Zhang
Louis-Pascal Xhonneux
Jian Tang
    GNN
ArXivPDFHTML

Papers citing "Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction"

40 / 40 papers shown
Title
Open the Eyes of MPNN: Vision Enhances MPNN in Link Prediction
Open the Eyes of MPNN: Vision Enhances MPNN in Link Prediction
Yanbin Wei
Xuehao Wang
Zhan Zhuang
Yang Chen
Shuhao Chen
Yulong Zhang
Yu-Jie Zhang
James T. Kwok
24
0
0
13 May 2025
Efficient Learning on Large Graphs using a Densifying Regularity Lemma
Efficient Learning on Large Graphs using a Densifying Regularity Lemma
Jonathan Kouchly
Ben Finkelshtein
M. Bronstein
Ron Levie
39
0
0
25 Apr 2025
FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation
FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation
Shilong Zhang
Wenbo Li
Shoufa Chen
Chongjian Ge
Peize Sun
Y. Zhang
Yi-Xin Jiang
Zehuan Yuan
Binyue Peng
Ping Luo
DiffM
VGen
94
3
0
07 Feb 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
106
0
0
31 Jan 2025
Enhancing Graph Representation Learning with Localized Topological Features
Enhancing Graph Representation Learning with Localized Topological Features
Zuoyu Yan
Qi Zhao
Ze Ye
Tengfei Ma
Liangcai Gao
Zhi Tang
Yusu Wang
Chao Chen
47
0
0
17 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
59
20
0
17 Jan 2025
Efficient Link Prediction via GNN Layers Induced by Negative Sampling
Efficient Link Prediction via GNN Layers Induced by Negative Sampling
Yuxin Wang
Xiannian Hu
Quan Gan
Xuanjing Huang
Xipeng Qiu
David Wipf
56
4
0
31 Dec 2024
Enhancing Future Link Prediction in Quantum Computing Semantic Networks
  through LLM-Initiated Node Features
Enhancing Future Link Prediction in Quantum Computing Semantic Networks through LLM-Initiated Node Features
Gilchan Park
Paul Baity
Byung-Jun Yoon
Adolfy Hoisie
23
0
0
05 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
25
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
26
0
0
13 Sep 2024
Look Globally and Reason: Two-stage Path Reasoning over Sparse Knowledge
  Graphs
Look Globally and Reason: Two-stage Path Reasoning over Sparse Knowledge Graphs
Saiping Guan
Jiyao Wei
Xiaolong Jin
Jiafeng Guo
Xueqi Cheng
LRM
23
0
0
26 Jul 2024
Large Language Model Enhanced Knowledge Representation Learning: A Survey
Large Language Model Enhanced Knowledge Representation Learning: A Survey
Xin Wang
Zirui Chen
Haofen Wang
Leong Hou U
Zhao Li
Wenbin Guo
KELM
60
3
0
01 Jul 2024
Pathformer: Recursive Path Query Encoding for Complex Logical Query
  Answering
Pathformer: Recursive Path Query Encoding for Complex Logical Query Answering
Chongzhi Zhang
Zhiping Peng
Junhao Zheng
Linghao Wang
Ruifeng Shi
Qianli Ma
36
1
0
21 Jun 2024
Efficient Neural Common Neighbor for Temporal Graph Link Prediction
Efficient Neural Common Neighbor for Temporal Graph Link Prediction
Xiaohui Zhang
Yanbo Wang
Xiyuan Wang
Muhan Zhang
21
1
0
12 Jun 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
20
1
0
19 Mar 2024
Capturing Knowledge Graphs and Rules with Octagon Embeddings
Capturing Knowledge Graphs and Rules with Octagon Embeddings
Victor Charpenay
Steven Schockaert
15
1
0
29 Jan 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
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
49
13
0
25 Sep 2023
Pitfalls in Link Prediction with Graph Neural Networks: Understanding
  the Impact of Target-link Inclusion & Better Practices
Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices
Jing Zhu
Yuhang Zhou
V. Ioannidis
Sheng Qian
Wei Ai
Xiang Song
Danai Koutra
16
9
0
01 Jun 2023
Spectral Heterogeneous Graph Convolutions via Positive Noncommutative
  Polynomials
Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials
Mingguo He
Zhewei Wei
Shi Feng
Zhengjie Huang
Weibin Li
Yu Sun
Dianhai Yu
19
6
0
31 May 2023
Towards Semi-supervised Universal Graph Classification
Towards Semi-supervised Universal Graph Classification
Xiao Luo
Yusheng Zhao
Yifang Qin
Wei Ju
Ming Zhang
10
30
0
31 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
22
20
0
20 Apr 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
19
23
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
19
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
15
13
0
19 Dec 2022
RulE: Knowledge Graph Reasoning with Rule Embedding
RulE: Knowledge Graph Reasoning with Rule Embedding
Xiaojuan Tang
Song-Chun Zhu
Yitao Liang
Muhan Zhang
13
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
14
24
0
13 Oct 2022
GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient
  Link Prediction
GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient Link Prediction
Zixiao Wang
Yuluo Guo
Jin Zhao
Yu Zhang
Hui Yu
Xiaofei Liao
Biao Wang
Ting Yu
DiffM
GNN
19
6
0
04 Oct 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
29
34
0
07 Jun 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs
  in Larger Test Graphs
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs
Yangze Zhou
Gitta Kutyniok
Bruno Ribeiro
OODD
AI4CE
73
37
0
30 May 2022
CascadER: Cross-Modal Cascading for Knowledge Graph Link Prediction
CascadER: Cross-Modal Cascading for Knowledge Graph Link Prediction
Tara Safavi
Doug Downey
Tom Hope
11
6
0
16 May 2022
Graph Neural Networks are Dynamic Programmers
Graph Neural Networks are Dynamic Programmers
Andrew Dudzik
Petar Velickovic
26
62
0
29 Mar 2022
Sequence-to-Sequence Knowledge Graph Completion and Question Answering
Sequence-to-Sequence Knowledge Graph Completion and Question Answering
Apoorv Saxena
Adrian Kochsiek
Rainer Gemulla
AIMat
31
120
0
19 Mar 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
13
20
0
14 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
18
22
0
03 Mar 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
25
1
0
26 Jan 2022
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
19
0
06 Oct 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
20
85
0
23 Jun 2021
Learning from Counterfactual Links for Link Prediction
Learning from Counterfactual Links for Link Prediction
Tong Zhao
Gang Liu
Daheng Wang
Wenhao Yu
Meng-Long Jiang
CML
OOD
20
93
0
03 Jun 2021
Combinatorial optimization and reasoning with graph neural networks
Combinatorial optimization and reasoning with graph neural networks
Quentin Cappart
Didier Chételat
Elias Boutros Khalil
Andrea Lodi
Christopher Morris
Petar Velickovic
AI4CE
30
345
0
18 Feb 2021
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