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2106.06935
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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
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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
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
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
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
Ioannis Reklos
Jacopo de Berardinis
Elena Simperl
Albert Meroño-Peñuela
106
0
0
31 Jan 2025
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
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
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
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
Sharmishtha Dutta
Alex Gittens
Mohammed J. Zaki
Charu C. Aggarwal
25
0
0
01 Oct 2024
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
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
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
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
Xiaohui Zhang
Yanbo Wang
Xiyuan Wang
Muhan Zhang
21
1
0
12 Jun 2024
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
Victor Charpenay
Steven Schockaert
15
1
0
29 Jan 2024
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
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
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
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
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
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
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
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
Vardaan Pahuja
Boshi Wang
Hugo Latapie
Jayanth Srinivasa
Yu-Chuan Su
15
13
0
19 Dec 2022
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
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
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
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
Yangze Zhou
Gitta Kutyniok
Bruno Ribeiro
OODD
AI4CE
73
37
0
30 May 2022
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
Andrew Dudzik
Petar Velickovic
26
62
0
29 Mar 2022
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
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
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
Tomas Kulvicius
M. Tamosiunaite
F. Worgotter
25
1
0
26 Jan 2022
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
Mikhail Galkin
E. Denis
Jiapeng Wu
William L. Hamilton
OCL
20
85
0
23 Jun 2021
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
Quentin Cappart
Didier Chételat
Elias Boutros Khalil
Andrea Lodi
Christopher Morris
Petar Velickovic
AI4CE
30
345
0
18 Feb 2021
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