
@article{hawkes1971spectra,
  title={Spectra of some self-exciting and mutually exciting point processes},
  author={Hawkes, Alan G.},
  journal={Biometrika},
  volume={58},
  number={1},
  pages={83--90},
  year={1971},
  publisher={Oxford University Press}
}

@article{hoff2002latent,
  title={Latent space approaches to social network analysis},
  author={Hoff, Peter D. and Raftery, Adrian E. and Handcock, Mark S.},
  journal={Journal of the American Statistical Association},
  volume={97},
  number={460},
  pages={1090--1098},
  year={2002},
  publisher={Taylor \& Francis}
}

@inproceedings{yang2017decoupling,
  title={Decoupling Homophily and Reciprocity with Latent Space Network Models},
  author={Yang, Jiasen and Rao, Vinayak A. and Neville, Jennifer},
  booktitle={Proceedings of the Conference on Uncertainty in Artificial Intelligence},
  year={2017}
}

@book{daley2003introduction,
  title={An introduction to the theory of point processes. Volume I: Elementary theory and methods},
  author={Daley, Daryl J. and Vere-Jones, David},
  year={2003},
  publisher={Springer New York}
}

@article{ogata1981lewis,
  title={On Lewis' simulation method for point processes},
  author={Ogata, Yosihiko},
  journal={IEEE transactions on information theory},
  volume={27},
  number={1},
  pages={23--31},
  year={1981},
  publisher={IEEE}
}

@article{eagle2006reality,
  title={Reality mining: sensing complex social systems},
  author={Eagle, Nathan and Pentland, Alex Sandy},
  journal={Personal and Ubiquitous Computing},
  volume={10},
  number={4},
  pages={255--268},
  year={2006},
  publisher={Springer}
}

@article{byrd1995limited,
  title={A limited memory algorithm for bound constrained optimization},
  author={Byrd, Richard H. and Lu, Peihuang and Nocedal, Jorge and Zhu, Ciyou},
  journal={SIAM Journal on Scientific Computing},
  volume={16},
  number={5},
  pages={1190--1208},
  year={1995},
  publisher={SIAM}
}

@inproceedings{maclaurin2015autograd,
  title={Autograd: Effortless gradients in {Numpy}},
  author={Maclaurin, Dougal and Duvenaud, David and Adams, Ryan P.},
  booktitle={Proceedings of the ICML 2015 AutoML Workshop},
  year={2015}
}

@inproceedings{young2007random,
  title={Random dot product graph models for social networks},
  author={Young, Stephen J and Scheinerman, Edward R},
  booktitle={International Workshop on Algorithms and Models for the Web-Graph},
  pages={138--149},
  year={2007},
  organization={Springer}
}

@incollection{hoff2003random,
  title={Random Effects Models for Network Data},
  author={Hoff, Peter D.},
  booktitle={Dynamic Social Network Modeling and Analysis: Workshop Summary and Papers},
  year={2003},
  publisher={National Academies Press}
}

@article{hoff2005bilinear,
  title={Bilinear mixed-effects models for dyadic data},
  author={Hoff, Peter D.},
  journal={Journal of the American Statistical Association},
  volume={100},
  number={469},
  pages={286--295},
  year={2005},
  publisher={Taylor \& Francis}
}

@article{krivitsky2009representing,
  title={Representing degree distributions, clustering, and homophily in social networks with latent cluster random effects models},
  author={Krivitsky, Pavel N. and Handcock, Mark S. and Raftery, Adrian E. and Hoff, Peter D.},
  journal={Social Networks},
  volume={31},
  number={3},
  pages={204--213},
  year={2009},
  publisher={Elsevier}
}

@article{wang2019joint,
  title={Joint Latent Space Model for Social Networks with Multivariate Attributes},
  author={Wang, Selena Shuo and Paul, Subhadeep and De Boeck, Paul},
  journal={arXiv preprint arXiv:1910.12128},
  year={2019}
}

@article{gollini2016joint,
  title={Joint modeling of multiple network views},
  author={Gollini, Isabella and Murphy, Thomas Brendan},
  journal={Journal of Computational and Graphical Statistics},
  volume={25},
  number={1},
  pages={246--265},
  year={2016},
  publisher={Taylor \& Francis}
}

@article{marsan2008extending,
  title={Extending earthquakes' reach through cascading},
  author={Marsan, David and Lengline, Olivier},
  journal={Science},
  volume={319},
  number={5866},
  pages={1076--1079},
  year={2008},
  publisher={American Association for the Advancement of Science}
}

@article{hawkes2018hawkes,
  title={Hawkes processes and their applications to finance: a review},
  author={Hawkes, Alan G},
  journal={Quantitative Finance},
  volume={18},
  number={2},
  pages={193--198},
  year={2018},
  publisher={Taylor \& Francis}
}

@inproceedings{dubois2013stochastic,
  title={Stochastic blockmodeling of relational event dynamics},
  author={DuBois, Christopher and Butts, Carter and Smyth, Padhraic},
  booktitle={Artificial intelligence and statistics},
  pages={238--246},
  year={2013},
  organization={PMLR}
}

@article{handcock2007model,
  title={Model-based clustering for social networks},
  author={Handcock, Mark S. and Raftery, Adrian E. and Tantrum, Jeremy M.},
  journal={Journal of the Royal Statistical Society: Series A (Statistics in Society)},
  volume={170},
  number={2},
  pages={301--354},
  year={2007},
  publisher={Wiley Online Library}
}

@article{friel2016interlocking,
  title={Interlocking directorates in Irish companies using a latent space model for bipartite networks},
  author={Friel, Nial and Rastelli, Riccardo and Wyse, Jason and Raftery, Adrian E.},
  journal={Proceedings of the National Academy of Sciences},
  volume={113},
  number={24},
  pages={6629--6634},
  year={2016},
  publisher={National Acad Sciences}
}

@inproceedings{gracious2021neural,
  title={Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs},
  author={Gracious, Tony and Gupta, Shubham and Kanthali, Arun and Castro, Rui M and Dukkipati, Ambedkar},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  pages={4054--4062},
  year={2021}
}

@inproceedings{nguyen2018continuous,
  title={Continuous-time dynamic network embeddings},
  author={Nguyen, Giang Hoang and Lee, John Boaz and Rossi, Ryan A. and Ahmed, Nesreen K. and Koh, Eunyee and Kim, Sungchul},
  booktitle={Companion Proceedings of the  Web Conference},
  pages={969--976},
  year={2018}
}

@article{xie2020survey,
  title={A survey on dynamic network embedding},
  author={Xie, Yu and Li, Chunyi and Yu, Bin and Zhang, Chen and Tang, Zhouhua},
  journal={arXiv preprint arXiv:2006.08093},
  year={2020}
}

@inproceedings{tang2015line,
  title={{LINE}: Large-scale information network embedding},
  author={Tang, Jian and Qu, Meng and Wang, Mingzhe and Zhang, Ming and Yan, Jun and Mei, Qiaozhu},
  booktitle={Proceedings of the 24th International Conference on World Wide Web},
  pages={1067--1077},
  year={2015}
}

@inproceedings{grover2016node2vec,
  title={node2vec: Scalable feature learning for networks},
  author={Grover, Aditya and Leskovec, Jure},
  booktitle={Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
  pages={855--864},
  year={2016}
}

@article{cui2018survey,
  title={A survey on network embedding},
  author={Cui, Peng and Wang, Xiao and Pei, Jian and Zhu, Wenwu},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  volume={31},
  number={5},
  pages={833--852},
  year={2018},
  publisher={IEEE}
}

@article{goyal2018graph,
  title={Graph embedding techniques, applications, and performance: A survey},
  author={Goyal, Palash and Ferrara, Emilio},
  journal={Knowledge-based Systems},
  volume={151},
  pages={78--94},
  year={2018},
  publisher={Elsevier}
}

@inproceedings{hoff2007modeling,
  title={Modeling homophily and stochastic equivalence in symmetric relational data},
  author={Hoff, Peter D.},
  booktitle={Advances in Neural Information Processing Systems 20},
  pages={657--664},
  year={2007}
}

@article{ahmed2018deepeye,
  title={DeepEye: Link prediction in dynamic networks based on non-negative matrix factorization},
  author={Ahmed, Nahla Mohamed and Chen, Ling and Wang, Yulong and Li, Bin and Li, Yun and Liu, Wei},
  journal={Big Data Mining and Analytics},
  volume={1},
  number={1},
  pages={19--33},
  year={2018},
  publisher={TUP}
}

@inproceedings{chen2015fast,
  title={Fast eigen-functions tracking on dynamic graphs},
  author={Chen, Chen and Tong, Hanghang},
  booktitle={Proceedings of the 2015 SIAM international conference on data mining},
  pages={559--567},
  year={2015},
  organization={SIAM}
}

@article{katz1953new,
  title={A new status index derived from sociometric analysis},
  author={Katz, Leo},
  journal={Psychometrika},
  volume={18},
  number={1},
  pages={39--43},
  year={1953},
  publisher={Springer}
}

@inproceedings{li2017attributed,
  title={Attributed network embedding for learning in a dynamic environment},
  author={Li, Jundong and Dani, Harsh and Hu, Xia and Tang, Jiliang and Chang, Yi and Liu, Huan},
  booktitle={Proceedings of the 2017 ACM on Conference on Information and Knowledge Management},
  pages={387--396},
  year={2017}
}

@article{goldberg2014word2vec,
  title={word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method},
  author={Goldberg, Yoav and Levy, Omer},
  journal={arXiv preprint arXiv:1402.3722},
  year={2014}
}

@article{goyal2020dyngraph2vec,
  title={dyngraph2vec: Capturing network dynamics using dynamic graph representation learning},
  author={Goyal, Palash and Chhetri, Sujit Rokka and Canedo, Arquimedes},
  journal={Knowledge-based Systems},
  volume={187},
  pages={104816},
  year={2020},
  publisher={Elsevier}
}

@inproceedings{du2018dynamic,
  title={Dynamic Network Embedding: An Extended Approach for Skip-gram based Network Embedding.},
  author={Du, Lun and Wang, Yun and Song, Guojie and Lu, Zhicong and Wang, Junshan},
  booktitle={IJCAI},
  volume={2018},
  pages={2086--2092},
  year={2018}
}

@inproceedings{chen2018scalable,
  title={Scalable optimization for embedding highly-dynamic and recency-sensitive data},
  author={Chen, Xumin and Cui, Peng and Yi, Lingling and Yang, Shiqiang},
  booktitle={Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining},
  pages={130--138},
  year={2018}
}

@article{lipton2015critical,
  title={A critical review of recurrent neural networks for sequence learning},
  author={Lipton, Zachary C and Berkowitz, John and Elkan, Charles},
  journal={arXiv preprint arXiv:1506.00019},
  year={2015}
}
@article{sankar2018dynamic,
  title={Dynamic graph representation learning via self-attention networks},
  author={Sankar, Aravind and Wu, Yanhong and Gou, Liang and Zhang, Wei and Yang, Hao},
  journal={arXiv preprint arXiv:1812.09430},
  year={2018}
}

@inproceedings{ma2020streaming,
  title={Streaming graph neural networks},
  author={Ma, Yao and Guo, Ziyi and Ren, Zhaocun and Tang, Jiliang and Yin, Dawei},
  booktitle={Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval},
  pages={719--728},
  year={2020}
}

@article{goyal2018dyngem,
  title={{DynGEM}: Deep embedding method for dynamic graphs},
  author={Goyal, Palash and Kamra, Nitin and He, Xinran and Liu, Yan},
  journal={arXiv preprint arXiv:1805.11273},
  year={2018}
}

@inproceedings{wang2016structural,
  title={Structural deep network embedding},
  author={Wang, Daixin and Cui, Peng and Zhu, Wenwu},
  booktitle={Proceedings of the 22nd ACM SIGKDD international conference on Knowledge discovery and data mining},
  pages={1225--1234},
  year={2016}
}

@inproceedings{lemonnier2014nonparametric,
  title={Nonparametric {Markovian} learning of triggering kernels for mutually exciting and mutually inhibiting multivariate {Hawkes} processes},
  author={Lemonnier, Remi and Vayatis, Nicolas},
  booktitle={Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases},
  pages={161--176},
  year={2014},
  organization={Springer}
}

@article{rubin1972regular,
  title={Regular point processes and their detection},
  author={Rubin, Izhak},
  journal={IEEE Transactions on Information Theory},
  volume={18},
  number={5},
  pages={547--557},
  year={1972},
  publisher={IEEE}
}

@article{ozaki1979maximum,
  title={Maximum likelihood estimation of {Hawkes'} self-exciting point processes},
  author={Ozaki, Tohru},
  journal={Annals of the Institute of Statistical Mathematics},
  volume={31},
  number={1},
  pages={145--155},
  year={1979},
  publisher={Springer}
}

@article{gower1975generalized,
  title={Generalized {Procrustes} analysis},
  author={Gower, John C.},
  journal={Psychometrika},
  volume={40},
  number={1},
  pages={33--51},
  year={1975},
  publisher={Springer}
}
@inproceedings{paranjape2017motifs,
  title={Motifs in temporal networks},
  author={Paranjape, Ashwin and Benson, Austin R. and Leskovec, Jure},
  booktitle={Proceedings of the 10th ACM International Conference on Web Search and Data Mining},
  pages={601--610},
  year={2017}
}
@inproceedings{klimt2004enron,
  title={The {Enron} corpus: A new dataset for email classification research},
  author={Klimt, Bryan and Yang, Yiming},
  booktitle={Proceedings of the European Conference on Machine Learning},
  pages={217--226},
  year={2004},
  organization={Springer}
}

@inproceedings{junuthula2019block,
  title={The block point process model for continuous-time event-based dynamic networks},
  author={Junuthula, Ruthwik and Haghdan, Maysam and Xu, Kevin S. and Devabhaktuni, Vijay},
  booktitle={Proceedings of the World Wide Web Conference},
  pages={829--839},
  year={2019}
}


@article{sewell2015latent,
  title={Latent space models for dynamic networks},
  author={Sewell, Daniel K. and Chen, Yuguo},
  journal={Journal of the American Statistical Association},
  volume={110},
  number={512},
  pages={1646--1657},
  year={2015},
  publisher={Taylor \& Francis}
}


@article{sewell2016latent,
  title={Latent space models for dynamic networks with weighted edges},
  author={Sewell, Daniel K. and Chen, Yuguo},
  journal={Social Networks},
  volume={44},
  pages={105--116},
  year={2016},
  publisher={Elsevier}
}

@article{salter2017latent,
  title={Latent space models for multiview network data},
  author={Salter-Townshend, Michael and McCormick, Tyler H.},
  journal={The Annals of Applied Statistics},
  volume={11},
  number={3},
  pages={1217},
  year={2017},
  publisher={NIH Public Access}
}

@article{rossi2020temporal,
  title={Temporal graph networks for deep learning on dynamic graphs},
  author={Rossi, Emanuele and Chamberlain, Ben and Frasca, Fabrizio and Eynard, Davide and Monti, Federico and Bronstein, Michael},
  journal={arXiv preprint arXiv:2006.10637},
  year={2020}
}

@inproceedings{Blundell2012,
title = {Modelling Reciprocating Relationships with {Hawkes} Processes},
author = {Blundell, Charles and Beck, Jeff and Heller, Katherine A.},
booktitle = {Advances in Neural Information Processing Systems 25},
pages = {2600--2608},
year = {2012}
}

@inproceedings{Dubois2013,
author = {DuBois, Christopher and Butts, Carter T. and Smyth, Padhraic},
booktitle = {Proceedings of the 16th International Conference on Artificial Intelligence and Statistics},
pages = {238--246},
title = {{Stochastic blockmodeling of relational event dynamics}},
year = {2013}
}

@inproceedings{miscouridou2018modelling,
  title={Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction data},
  author={Miscouridou, Xenia and Caron, Francois and Teh, Yee Whye},
  booktitle={Advances in Neural Information Processing Systems 31},
  pages={2343--2352},
  year={2018}
}

@inproceedings{arastuie2020chip,
  title={{CHIP}: A {Hawkes} Process Model for Continuous-time Networks with Scalable and Consistent Estimation},
  author={Arastuie, Makan and Paul, Subhadeep and Xu, Kevin S.},
  booktitle={Advances in Neural Information Processing Systems 33},
  year={2020}
}

@inproceedings{nr,
     title={The Network Data Repository with Interactive Graph Analytics and Visualization},
     author={Ryan A. Rossi and Nesreen K. Ahmed},
     booktitle={Proceedings of the 29th AAAI Conference on Artificial Intelligence},
     url={https://networkrepository.com},
     year={2015}
}

@article{ma2020universal,
  title={Universal Latent Space Model Fitting for Large Networks with Edge Covariates},
  author={Ma, Zhuang and Ma, Zongming and Yuan, Hongsong},
  journal={Journal of Machine Learning Research},
  volume={21},
  number={4},
  pages={1--67},
  year={2020}
}

@inproceedings{zhang2020flexible,
  title={A flexible latent space model for multilayer networks},
  author={Zhang, Xuefei and Xue, Songkai and Zhu, Ji},
  booktitle={Proceedings of the 37th International Conference on Machine Learning},
  pages={11288--11297},
  year={2020}
}

@article{palmer2021mid5,
  title={The {MID5} Dataset, 2011--2014: Procedures, coding rules, and description},
  author={Palmer, Glenn and McManus, Roseanne W. and D’Orazio, Vito and Kenwick, Michael R. and Karstens, Mikaela and Bloch, Chase and Dietrich, Nick and Kahn, Kayla and Ritter, Kellan and Soules, Michael J.},
  journal={Conflict Management and Peace Science},
  pages={0738894221995743},
  year={2021},
  publisher={SAGE Publications Sage UK: London, England}
}

@misc{StellarGraph,
  author = {CSIRO's Data61},
  title = {{StellarGraph} Machine Learning Library},
  year = {2018},
  publisher = {GitHub},
  journal = {GitHub Repository},
  howpublished = {\url{https://github.com/stellargraph/stellargraph}},
}

@book{laub2021elements,
   author = {Laub, Patrick J. and Lee, Young and Taimre, Thomas},
   title = {{The Elements of Hawkes Processes}},
   publisher = {Springer Nature},
   year = {2021},
   type = {Book}
}

@incollection{masuda2013self,
  title={Self-exciting point process modeling of conversation event sequences},
  author={Masuda, Naoki and Takaguchi, Taro and Sato, Nobuo and Yano, Kazuo},
  booktitle={Temporal Networks},
  pages={245--264},
  year={2013},
  publisher={Springer}
}

@article{santos2021surfacing,
  title={Surfacing Estimation Uncertainty in the Decay Parameters of {Hawkes} Processes with Exponential Kernels},
  author={Santos, Tiago and Lemmerich, Florian and Helic, Denis},
  journal={arXiv preprint arXiv:2104.01029},
  year={2021}
}


@article{rastelli2021continuous,
  title={Continuous Latent Position Models for Instantaneous Interactions},
  author={Rastelli, Riccardo and Corneli, Marco},
  journal={arXiv preprint arXiv:2103.17146},
  year={2021}
}

@article{soliman2022multivariate,
  title={The Multivariate Community {Hawkes} Model for Dependent Relational Events in Continuous-time Networks},
  author={Soliman, Hadeel and Zhao, Lingfei and Huang, Zhipeng and Paul, Subhadeep and Xu, Kevin S.},
  journal={arXiv preprint arXiv:2205.00639},
  year={2022}
}

@incollection{snijders2005models,
  title={Models for longitudinal network data},
  author={Snijders, Tom A. B.},
  booktitle={Models and Methods in Social Network Analysis},
  pages={215--247},
  year={2005},
  publisher={Cambridge University Press}
}

@incollection{snijders2017modeling,
  title={Modeling the coevolution of networks and behavior},
  author={Snijders, Tom and Steglich, Christian and Schweinberger, Michael},
  booktitle={Longitudinal Models in the Behavioral and Related Sciences},
  pages={41--71},
  year={2017},
  publisher={Routledge}
}


@article{wasserman1980stochastic,
  title={A stochastic model for directed graphs with transition rates determined by reciprocity},
  author={Wasserman, Stanley S.},
  journal={Sociological Methodology},
  volume={11},
  pages={392--412},
  year={1980},
  publisher={JSTOR}
}


@article{wasserman1980analyzing,
  title={Analyzing social networks as stochastic processes},
  author={Wasserman, Stanley},
  journal={Journal of the American Statistical Association},
  volume={75},
  number={370},
  pages={280--294},
  year={1980},
  publisher={Taylor \& Francis}
}

@inproceedings{fan2012learning,
  title={Learning continuous-time social network dynamics},
  author={Fan, Yu and Shelton, Christian R.},
  booktitle={Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence},
  year={2009}
}

@article{leenders1995models,
  title={Models for network dynamics: A Markovian framework},
  author={Leenders, Roger Th AJ},
  journal={Journal of Mathematical Sociology},
  volume={20},
  number={1},
  pages={1--21},
  year={1995},
  publisher={Taylor \& Francis}
}

@article{leenders1996evolution,
  title={Evolution of friendship and best friendship choices},
  author={Leenders, Roger Th AJ},
  journal={Journal of Mathematical Sociology},
  volume={21},
  number={1-2},
  pages={133--148},
  year={1996},
  publisher={Taylor \& Francis}
}

