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1802.06916
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Simplicial Closure and higher-order link prediction
20 February 2018
Austin R. Benson
Rediet Abebe
Michael T. Schaub
Ali Jadbabaie
Jon M. Kleinberg
AI4CE
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Papers citing
"Simplicial Closure and higher-order link prediction"
44 / 94 papers shown
I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs
AAAI Conference on Artificial Intelligence (AAAI), 2022
Dongjin Lee
Kijung Shin
362
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0
09 Jun 2022
Core-periphery Models for Hypergraphs
Knowledge Discovery and Data Mining (KDD), 2022
Marios Papachristou
Jon M. Kleinberg
LRM
139
10
0
01 Jun 2022
Nonbacktracking spectral clustering of nonuniform hypergraphs
SIAM Journal on Mathematics of Data Science (SIMODS), 2022
Philip S. Chodrow
Nicole Eikmeier
Jamie Haddock
268
23
0
27 Apr 2022
AHP: Learning to Negative Sample for Hyperedge Prediction
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022
Hyunjin Hwang
Seungwoo Lee
Chanyoung Park
Kijung Shin
207
45
0
13 Apr 2022
Inference of hyperedges and overlapping communities in hypergraphs
Nature Communications (Nat Commun), 2022
Martina Contisciani
F. Battiston
Caterina De Bacco
251
94
0
12 Apr 2022
Dynamic Representation Learning with Temporal Point Processes for Higher-Order Interaction Forecasting
AAAI Conference on Artificial Intelligence (AAAI), 2021
Tony Gracious
Ambedkar Dukkipati
3DPC
AI4TS
224
6
0
19 Dec 2021
BScNets: Block Simplicial Complex Neural Networks
Yuzhou Chen
Yulia R. Gel
H. Vincent Poor
GNN
181
44
0
13 Dec 2021
Higher-Order Relations Skew Link Prediction in Graphs
Govind Sharma
Aditya Challa
Paarth Gupta
M. Murty
42
2
0
30 Oct 2021
Love tHy Neighbour: Remeasuring Local Structural Node Similarity in Hypergraph-Derived Networks
Govind Sharma
Paarth Gupta
M. Murty
40
0
0
30 Oct 2021
The CAT SET on the MAT: Cross Attention for Set Matching in Bipartite Hypergraphs
Govind Sharma
Swyam Prakash Singh
V. Devi
M. Murty
147
2
0
30 Oct 2021
Investigating and Modeling the Dynamics of Long Ties
Communications Physics (Commun. Phys.), 2021
Ding Lyu
Yuan. Yuan
Lin Wang
Xiaofan Wang
Alex Pentland
243
16
0
22 Sep 2021
SPAN: Subgraph Prediction Attention Network for Dynamic Graphs
Yuan Li
Chuanchang Chen
Y. Tao
Hai Lin
GNN
110
1
0
17 Aug 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks
ACM Computing Surveys (CSUR), 2021
Zhiqian Chen
Fanglan Chen
Lei Zhang
Taoran Ji
Kaiqun Fu
Bo Pan
Feng Chen
Lingfei Wu
Charu C. Aggarwal
Chang-Tien Lu
668
34
0
21 Jul 2021
Productivity, Portability, Performance: Data-Centric Python
Yiheng Wang
Yao Zhang
Yanzhang Wang
Yan Wan
Jiao Wang
Zhongyuan Wu
Yuhao Yang
Bowen She
412
112
0
01 Jul 2021
Neural Predicting Higher-order Patterns in Temporal Networks
The Web Conference (WWW), 2021
Yunyu Liu
Jianzhu Ma
Pan Li
266
36
0
10 Jun 2021
Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks
Changlin Wan
Muhan Zhang
Weiyu Hao
Sha Cao
Pan Li
Fangqiu Yi
218
15
0
08 Jun 2021
Motif Prediction with Graph Neural Networks
Knowledge Discovery and Data Mining (KDD), 2021
Maciej Besta
Raphael Grob
Cesare Miglioli
Nico Bernold
Grzegorz Kwa'sniewski
...
Raghavendra Kanakagiri
Saleh Ashkboos
Lukas Gianinazzi
Nikoli Dryden
Torsten Hoefler
425
44
0
26 May 2021
Hypernetwork Dismantling via Deep Reinforcement Learning
IEEE Transactions on Network Science and Engineering (TNSE), 2021
Dengcheng Yan
Wenxin Xie
Yiwen Zhang
Qiang He
Yun Yang
154
22
0
29 Apr 2021
What are higher-order networks?
SIAM Review (SIAM Rev.), 2021
C. Bick
Elizabeth Gross
Heather A. Harrington
Michael T. Schaub
441
397
0
20 Apr 2021
A nonlinear diffusion method for semi-supervised learning on hypergraphs
Francesco Tudisco
Konstantin Prokopchik
Austin R. Benson
349
13
0
27 Mar 2021
Understanding Higher-order Structures in Evolving Graphs: A Simplicial Complex based Kernel Estimation Approach
Manohar Kaul
Masaaki Imaizumi
114
1
0
06 Feb 2021
Hyperedge Prediction using Tensor Eigenvalue Decomposition
Journal of the Indian Institute of Science (J Indian Inst Sci), 2021
Deepak Maurya
Balaraman Ravindran
87
11
0
06 Feb 2021
Learning over Families of Sets -- Hypergraph Representation Learning for Higher Order Tasks
SDM (SDM), 2021
Ninad Kulkarni
Da Zheng
George Karypis
GNN
164
25
0
19 Jan 2021
A Unifying Generative Model for Graph Learning Algorithms: Label Propagation, Graph Convolutions, and Combinations
SIAM Journal on Mathematics of Data Science (SIMODS), 2021
Junteng Jia
Austin R. Benson
230
33
0
19 Jan 2021
Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks
International Conference on Learning Representations (ICLR), 2021
Yanbang Wang
Yen-Yu Chang
Yunyu Liu
J. Leskovec
Pan Li
CML
AI4TS
512
295
0
15 Jan 2021
Signal Processing on Higher-Order Networks: Livin' on the Edge ... and Beyond
Signal Processing (Signal Process.), 2021
Michael T. Schaub
Yu Zhu
Jean-Baptiste Seby
T. Roddenberry
Santiago Segarra
700
170
0
14 Jan 2021
Disentangling homophily, community structure and triadic closure in networks
Physical Review X (PRX), 2021
Tiago P. Peixoto
329
45
0
07 Jan 2021
Quantifying Spatial Homogeneity of Urban Road Networks via Graph Neural Networks
Jiawei Xue
Nan Jiang
Senwei Liang
Qiyuan Pang
Takahiro Yabe
S. Ukkusuri
Jianzhu Ma
173
37
0
01 Jan 2021
Predicting Biomedical Interactions with Higher-Order Graph Convolutional Networks
IEEE/ACM Transactions on Computational Biology & Bioinformatics (TCBB), 2020
K. Kishan
Rui Li
F. Cui
Anne R. Haake
GNN
122
32
0
16 Oct 2020
Unsupervised Joint
k
k
k
-node Graph Representations with Compositional Energy-Based Models
Neural Information Processing Systems (NeurIPS), 2020
Leonardo Cotta
Carlos H. C. Teixeira
A. Swami
Bruno Ribeiro
SSL
177
10
0
08 Oct 2020
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning
Pan Li
Yanbang Wang
Hongwei Wang
J. Leskovec
GNN
520
13
0
31 Aug 2020
Nonlinear Higher-Order Label Spreading
Francesco Tudisco
Austin R. Benson
Konstantin Prokopchik
175
36
0
08 Jun 2020
Heuristics for Link Prediction in Multiplex Networks
European Conference on Artificial Intelligence (ECAI), 2020
Rupam Acharyya
Vamsi K. Potluru
Jiahao Chen
P. Reddy
Manuela Veloso
36
3
0
09 Apr 2020
Motif-Based Spectral Clustering of Weighted Directed Networks
Applied Network Science (Appl Netw Sci), 2020
W. Underwood
Andrew Elliott
Mihai Cucuringu
210
12
0
02 Apr 2020
Minimizing Localized Ratio Cut Objectives in Hypergraphs
Nate Veldt
Austin R. Benson
Jon M. Kleinberg
318
7
0
21 Feb 2020
Higher-Order Label Homogeneity and Spreading in Graphs
The Web Conference (WWW), 2020
D. Eswaran
Srijan Kumar
Christos Faloutsos
144
20
0
18 Feb 2020
How Much and When Do We Need Higher-order Information in Hypergraphs? A Case Study on Hyperedge Prediction
The Web Conference (WWW), 2020
Se-eun Yoon
Hyungseok Song
Kijung Shin
Yung Yi
283
90
0
30 Jan 2020
Clustering in graphs and hypergraphs with categorical edge labels
Ilya Amburg
Nate Veldt
Austin R. Benson
232
110
0
22 Oct 2019
Powerset Convolutional Neural Networks
Neural Information Processing Systems (NeurIPS), 2019
Chris Wendler
Dan Alistarh
Markus Püschel
GNN
227
19
0
05 Sep 2019
Simplex2Vec embeddings for community detection in simplicial complexes
J. Billings
Mirko Hu
G. Lerda
Alexey N. Medvedev
Francesco Mottes
Adrian I. Onicas
Andrea Santoro
G. Petri
97
37
0
21 Jun 2019
Planted Hitting Set Recovery in Hypergraphs
Ilya Amburg
Jon M. Kleinberg
Austin R. Benson
122
20
0
14 May 2019
Modeling and Analysis of Tagging Networks in Stack Exchange Communities
Xiang Fu
Shangdi Yu
Austin R. Benson
36
8
0
06 Feb 2019
User-Guided Clustering in Heterogeneous Information Networks via Motif-Based Comprehensive Transcription
Yu Shi
Xinwei He
Naijing Zhang
Carl Yang
Jiawei Han
161
2
0
28 Nov 2018
Three hypergraph eigenvector centralities
Austin R. Benson
110
128
0
25 Jul 2018
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