Fetching the paper…
Reading the bibliography…
Hypergraph offers a framework to depict the multilateral relationships in real-world complex data.
Hypergraphs: combinatorics of finite sets
C. Berge · 1984
Earlier work this paper cites.
Line hypergraphs
R. Tyshkevich and V. E. Zverovich · 1996
Earlier work this paper cites.
Higher order learning with graphs
S. Agarwal, K. Branson, and S. Belongie · 2006
Earlier work this paper cites.
Learning with hypergraphs: Clustering, classification, and embedding
D. Zhou, J. Huang, and B. Schölkopf · 2006
Earlier work this paper cites.
The link-prediction problem for social networks
D. Liben-Nowell and J. Kleinberg · 2007
Earlier work this paper cites.
Transcription factories: gene expression in unions?
H. Sutherland and W. A. Bickmore · 2009
Earlier work this paper cites.
Topological domains in mammalian genomes identified by analysis of chromatin interactions
J. R. Dixon, S. Selvaraj, F. Yue, A. Kim, Y. Li, Y. Shen, M. Hu, J. S. Liu, and B. Ren · 2012
Earlier work this paper cites.
Chromatin architecture reorganization during stem cell differentiation
J. R. Dixon, I. Jung, S. Selvaraj, Y. Shen, J. E. Antosiewicz-Bourget, A. Y. Lee, Z. Ye, A. Kim, N. Rajagopal, W. Xie, et al · 2015
Earlier work this paper cites.
A dynamic recurrent model for next basket recommendation
F. Yu, Q. Liu, S. Wu, L. Wang, and T. Tan · 2016
Earlier work this paper cites.
Complex multi-enhancer contacts captured by genome architecture mapping
R. A. Beagrie, A. Scialdone, M. Schueler, D. C. Kraemer, M. Chotalia, S. Q. Xie, M. Barbieri, I. de Santiago, L.-M. Lavitas, M. R. Branco, et al · 2017
Earlier work this paper cites.
Neural message passing for quantum chemistry
J. Gilmer, S. S. Schoenholz, P. F. Riley, O. Vinyals, and G. E. Dahl · 2017
Earlier work this paper cites.
Inductive representation learning on large graphs
W. Hamilton, Z. Ying, and J. Leskovec · 2017
Earlier work this paper cites.
Semi-supervised classification with graph convolutional networks
T. N. Kipf and M. Welling · 2017
Earlier work this paper cites.
The three-dimensional organization of mammalian genomes
M. Yu and B. Ren · 2017
Earlier work this paper cites.
M. Zaheer, S. Kottur, S. Ravanbakhsh, B. Poczos, R. Salakhutdinov, and A. Smola · 2017
Cited alongside, same era.
Simplicial closure and higher-order link prediction
A. R. Benson, R. Abebe, M. T. Schaub, A. Jadbabaie, and J. Kleinberg · 2018
Cited alongside, same era.
Higher-order inter-chromosomal hubs shape 3d genome organization in the nucleus
S. A. Quinodoz, N. Ollikainen, B. Tabak, A. Palla, J. M. Schmidt, E. Detmar, M. M. Lai, A. A. Shishkin, P. Bhat, Y. Takei, et al · 2018
Cited alongside, same era.
Link prediction based on graph neural networks
M. Zhang and Y. Chen · 2018
Cited alongside, same era.
Beyond link prediction: Predicting hyperlinks in adjacency space
M. Zhang, Z. Cui, S. Jiang, and Y. Chen · 2018
Cited alongside, same era.
Organization and regulation of gene transcription
Hypersage: Generalizing inductive representation learning on hypergraphs
D. Arya, D. K. Gupta, S. Rudinac, and M. Worring · 2020
Later among the works it cites.
Hnhn: Hypergraph networks with hyperedge neurons
Y. Dong, W. Sawin, and Y. Bengio · 2020
Later among the works it cites.
Drug discovery with explainable artificial intelligence
J. Jiménez-Luna, F. Grisoni, and G. Schneider · 2020
Later among the works it cites.
Distance encoding: Design provably more powerful neural networks for graph representation learning
P. Li, Y. Wang, H. Wang, and J. Leskovec · 2020
Later among the works it cites.
Hi-c identifies complex genomic rearrangements and tad-shuffling in developmental diseases
U. S. Melo, R. Schöpflin, R. Acuna-Hidalgo, M. A. Mensah, B. Fischer-Zirnsak, M. Holtgrewe, M.-K. Klever, S. Türkmen, V. Heinrich, I. D. Pluym, et al · 2020
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
P. Cramer · 2019
Cited alongside, same era.
Graph neural networks for social recommendation
W. Fan, Y. Ma, Q. Li, Y. He, E. Zhao, J. Tang, and D. Yin · 2019
Cited alongside, same era.
Hypergraph neural networks
Y. Feng, H. You, Z. Zhang, R. Ji, and Y. Gao · 2019
Cited alongside, same era.
Simultaneous profiling of 3d genome structure and dna methylation in single human cells
D.-S. Lee, C. Luo, J. Zhou, S. Chandran, A. Rivkin, A. Bartlett, J. R. Nery, C. Fitzpatrick, C. O’Connor, J. R. Dixon, et al · 2019
Cited alongside, same era.
Set transformer: A framework for attention-based permutation-invariant neural networks
J. Lee, Y. Lee, J. Kim, A. Kosiorek, S. Choi, and Y. W. Teh · 2019
Cited alongside, same era.
Pairwise link prediction
H. Nassar, A. R. Benson, and D. F. Gleich · 2019
Cited alongside, same era.
On the equivalence between positional node embeddings and structural graph representations
B. Srinivasan and B. Ribeiro · 2019
Cited alongside, same era.
Later among the works it cites.
A deep learning approach to antibiotic discovery
J. M. Stokes, K. Yang, K. Swanson, W. Jin, A. Cubillos-Ruiz, N. M. Donghia, C. R. MacNair, S. French, L. A. Carfrae, Z. Bloom-Ackermann, et al · 2020
Later among the works it cites.
Genome-scale imaging of the 3d organization and transcriptional activity of chromatin
J.-H. Su, P. Zheng, S. S. Kinrot, B. Bintu, and X. Zhuang · 2020
Later among the works it cites.
Multi-contact 3c reveals that the human genome during interphase is largely not entangled
F. Tavares-Cadete, D. Norouzi, B. Dekker, Y. Liu, and J. Dekker · 2020
Later among the works it cites.
Nhp: Neural hypergraph link prediction
N. Yadati, V. Nitin, M. Nimishakavi, P. Yadav, A. Louis, and P. Talukdar · 2020
Later among the works it cites.
Hypergraph learning with line expansion
C. Yang, R. Wang, S. Yao, and T. Abdelzaher · 2020
Later among the works it cites.
Revisiting graph neural networks for link prediction
M. Zhang, P. Li, Y. Xia, K. Wang, and L. Jin · 2020
Later among the works it cites.
Hypergraph convolution and hypergraph attention
S. Bai, F. Zhang, and P. H. Torr · 2021
Closest in time.
Learning over families of sets-hypergraph representation learning for higher order tasks
B. Srinivasan, D. Zheng, and G. Karypis · 2021
Closest in time.