default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDTyler Derr
Person information
- affiliation: Vanderbilt University, Nashville, TN, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j3]Yi Zhang, Yuying Zhao
, Zhaoqing Li, Xueqi Cheng, Yu Wang, Olivera Kotevska, Philip S. Yu, Tyler Derr:
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications. IEEE Trans. Knowl. Data Eng. 36(12): 7497-7515 (2024)- [c52]Yu Wang, Nedim Lipka, Ryan A. Rossi, Alexa F. Siu, Ruiyi Zhang, Tyler Derr:
Knowledge Graph Prompting for Multi-Document Question Answering. AAAI 2024: 19206-19214 - [c51]Yuying Zhao, Yu Wang, Yi Zhang, Pamela J. Wisniewski, Charu C. Aggarwal, Tyler Derr:
Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation. AAAI 2024: 22547-22555 - [c50]Yu Wang, Nedim Lipka, Ruiyi Zhang, Alexa F. Siu, Yuying Zhao, Bo Ni, Xin Wang, Ryan A. Rossi, Tyler Derr:
Topology-aware Retrieval Augmentation for Text Generation. CIKM 2024: 2442-2452 - [c49]Yu Wang, Kaize Ding, Xiaorui Liu, Jian Kang, Ryan A. Rossi, Tyler Derr:
Data Quality-aware Graph Machine Learning. CIKM 2024: 5534-5537 - [c48]Anne M. Tumlin, Diego Manzanas Lopez, Preston Robinette, Yuying Zhao, Tyler Derr, Taylor T. Johnson:
FairNNV: The Neural Network Verification Tool For Certifying Fairness. ICAIF 2024: 36-44 - [c47]Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr:
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance. ICLR 2024 - [c46]Tyler Derr, Yao Ma, Kaize Ding, Tong Zhao, Nesreen K. Ahmed:
The 5th International Workshop on Machine Learning on Graphs (MLoG). WSDM 2024: 1210-1211 - [c45]Yu Wang, Amin Javari, Janani Balaji, Walid Shalaby, Tyler Derr, Xiquan Cui:
Knowledge Graph-based Session Recommendation with Session-Adaptive Propagation. WWW (Companion Volume) 2024: 264-273 - [c44]Yuying Zhao, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Yiwei Cai, Rashidul Islam, Yu Wang, Tyler Derr:
Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness. WWW 2024: 1237-1248 - [i43]Yu Wang, Amin Javari, Janani Balaji, Walid Shalaby, Tyler Derr, Xiquan Cui:
Knowledge Graph-based Session Recommendation with Adaptive Propagation. CoRR abs/2402.11302 (2024) - [i42]Yuying Zhao, Yu Wang, Yi Zhang, Pamela J. Wisniewski, Charu C. Aggarwal, Tyler Derr:
Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation. CoRR abs/2402.12541 (2024) - [i41]Yuying Zhao, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Yiwei Cai, Rashidul Islam, Yu Wang, Tyler Derr:
Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness. CoRR abs/2402.13495 (2024) - [i40]Yu Wang, Nedim Lipka, Ruiyi Zhang, Alexa F. Siu, Yuying Zhao, Bo Ni, Xin Wang, Ryan A. Rossi, Tyler Derr:
Augmenting Textual Generation via Topology Aware Retrieval. CoRR abs/2405.17602 (2024) - [i39]Yu Wang, Ryan A. Rossi, Namyong Park, Huiyuan Chen, Nesreen K. Ahmed, Puja Trivedi, Franck Dernoncourt, Danai Koutra, Tyler Derr:
Large Generative Graph Models. CoRR abs/2406.05109 (2024) - [i38]Xueqi Cheng, Yu Wang, Yunchao Liu, Yuying Zhao, Charu C. Aggarwal, Tyler Derr:
Edge Classification on Graphs: New Directions in Topological Imbalance. CoRR abs/2406.11685 (2024) - [i37]Austin Coursey, Junyi Ji, Marcos Quiñones-Grueiro, William Barbour, Yuhang Zhang, Tyler Derr, Gautam Biswas, Daniel B. Work:
FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection. CoRR abs/2406.15283 (2024) - [i36]Haohao Qu, Liangbo Ning, Rui An, Wenqi Fan, Tyler Derr, Hui Liu, Xin Xu, Qing Li:
A Survey of Mamba. CoRR abs/2408.01129 (2024) - [i35]Bo Ni, Yu Wang, Lu Cheng, Erik Blasch, Tyler Derr:
Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective. CoRR abs/2410.08985 (2024) - [i34]Leyao Wang, Yu Wang, Bo Ni, Yuying Zhao, Tyler Derr:
Large Language Model-based Augmentation for Imbalanced Node Classification on Text-Attributed Graphs. CoRR abs/2410.16882 (2024) - [i33]Xueqi Cheng, Catherine Yang, Yuying Zhao, Yu Wang, Hamid Karimi, Tyler Derr:
A Comprehensive Analysis of Social Tie Strength: Definitions, Prediction Methods, and Future Directions. CoRR abs/2410.19214 (2024) - [i32]Zhehao Zhang, Ryan A. Rossi, Branislav Kveton, Yijia Shao, Diyi Yang, Hamed Zamani, Franck Dernoncourt, Joe Barrow, Tong Yu, Sungchul Kim, Ruiyi Zhang, Jiuxiang Gu, Tyler Derr, Hongjie Chen, Junda Wu, Xiang Chen, Zichao Wang, Subrata Mitra, Nedim Lipka, Nesreen K. Ahmed, Yu Wang:
Personalization of Large Language Models: A Survey. CoRR abs/2411.00027 (2024) - 2023
- [j2]Wenqi Fan, Xiangyu Zhao, Qing Li, Tyler Derr, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang:
Adversarial Attacks for Black-Box Recommender Systems via Copying Transferable Cross-Domain User Profiles. IEEE Trans. Knowl. Data Eng. 35(12): 12415-12429 (2023) - [c43]Yuying Zhao, Yu Wang, Tyler Derr:
Fairness and Explainability: Bridging the Gap towards Fair Model Explanations. AAAI 2023: 11363-11371 - [c42]Yunchao Liu, Yu Wang, Oanh Vu, Rocco Moretti, Bobby Bodenheimer, Jens Meiler, Tyler Derr:
Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery. AAAI 2023: 14356-14364 - [c41]Kiana Kheiri, Muhammad Fawad Akbar Khan, Tyler Derr, Hamid Karimi:
An Analysis of the Dynamics of Ties on Twitter. IEEE Big Data 2023: 5809-5817 - [c40]Anwar Said, Mudassir Shabbir, Tyler Derr, Waseem Abbas, Xenofon D. Koutsoukos:
Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph Embeddings Augmentation. ICMLA 2023: 2257-2264 - [c39]Anwar Said, Roza G. Bayrak, Tyler Derr, Mudassir Shabbir, Daniel Moyer, Catie Chang, Xenofon D. Koutsoukos:
NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics. NeurIPS 2023 - [c38]Tyler Derr, Yao Ma, Benedek Rozemberczki, Neil Shah, Shirui Pan:
The 3rd International Workshop on Machine Learning on Graphs (MLoG). WSDM 2023: 1271-1272 - [c37]Yu Wang, Yuying Zhao, Yi Zhang, Tyler Derr:
Collaboration-Aware Graph Convolutional Network for Recommender Systems. WWW 2023: 91-101 - [i31]Anwar Said, Roza G. Bayrak, Tyler Derr, Mudassir Shabbir, Daniel Moyer, Catie Chang, Xenofon D. Koutsoukos:
NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics. CoRR abs/2306.06202 (2023) - [i30]Yuying Zhao, Yu Wang, Yunchao Liu, Xueqi Cheng, Charu C. Aggarwal, Tyler Derr:
Fairness and Diversity in Recommender Systems: A Survey. CoRR abs/2307.04644 (2023) - [i29]Yu Wang, Nedim Lipka, Ryan A. Rossi, Alexa F. Siu, Ruiyi Zhang, Tyler Derr:
Knowledge Graph Prompting for Multi-Document Question Answering. CoRR abs/2308.11730 (2023) - [i28]Yi Zhang, Yuying Zhao, Zhaoqing Li, Xueqi Cheng, Yu Wang, Olivera Kotevska, Philip S. Yu, Tyler Derr:
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications. CoRR abs/2308.16375 (2023) - [i27]Anwar Said, Tyler Derr, Mudassir Shabbir, Waseem Abbas, Xenofon D. Koutsoukos:
A Survey of Graph Unlearning. CoRR abs/2310.02164 (2023) - [i26]Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr:
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance. CoRR abs/2310.04612 (2023) - [i25]Anwar Said, Mudassir Shabbir, Tyler Derr, Waseem Abbas, Xenofon D. Koutsoukos:
Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph Embeddings Augmentation. CoRR abs/2310.12169 (2023) - [i24]Ruiqi Feng, Zhichao Hou, Tyler Derr, Xiaorui Liu:
Robust Graph Neural Networks via Unbiased Aggregation. CoRR abs/2311.14934 (2023) - 2022
- [c36]Xinmeng Zhang, Yuying Zhao, Chao Yan, Tyler Derr, You Chen:
Inferring EHR Utilization Workflows through Audit Logs. AMIA 2022 - [c35]Yu Wang, Yuying Zhao, Neil Shah, Tyler Derr:
Imbalanced Graph Classification via Graph-of-Graph Neural Networks. CIKM 2022: 2067-2076 - [c34]Philip S. Yu, Olivera Kotevska, Tyler Derr:
PAS: Privacy Algorithms in Systems. CIKM 2022: 5181-5182 - [c33]Hamid Karimi, Muhammad Fawad Akbar Khan, Haochen Liu, Tyler Derr, Hui Liu:
Enhancing Individual Fairness through Propensity Score Matching. DSAA 2022: 1-10 - [c32]Yu Wang, Tyler Derr:
Degree-Related Bias in Link Prediction. ICDM (Workshops) 2022: 757-758 - [c31]Shivam Agarwal, Ramit Sawhney, Megh Thakkar, Preslav Nakov, Jiawei Han, Tyler Derr:
THINK: Temporal Hypergraph Hyperbolic Network. ICDM 2022: 849-854 - [c30]Hamid Karimi, Tyler Derr:
Decision Boundaries of Deep Neural Networks. ICMLA 2022: 1085-1092 - [c29]Yushun Dong, Song Wang, Yu Wang, Tyler Derr, Jundong Li:
On Structural Explanation of Bias in Graph Neural Networks. KDD 2022: 316-326 - [c28]Yu Wang, Yuying Zhao, Yushun Dong, Huiyuan Chen, Jundong Li, Tyler Derr:
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage. KDD 2022: 1938-1948 - [c27]Benedek Rozemberczki, Charles Tapley Hoyt, Anna Gogleva, Piotr Grabowski, Klas Karis, Andrej Lamov, Andriy Nikolov, Sebastian Nilsson, Michaël Ughetto, Yu Wang, Tyler Derr, Benjamin M. Gyori:
ChemicalX: A Deep Learning Library for Drug Pair Scoring. KDD 2022: 3819-3828 - [i23]Benedek Rozemberczki, Charles Tapley Hoyt, Anna Gogleva, Piotr Grabowski, Klas Karis, Andrej Lamov, Andriy Nikolov, Sebastian Nilsson, Michaël Ughetto, Yu Wang, Tyler Derr, Benjamin M. Gyori:
ChemicalX: A Deep Learning Library for Drug Pair Scoring. CoRR abs/2202.05240 (2022) - [i22]Yu Wang, Yuying Zhao, Yushun Dong, Huiyuan Chen, Jundong Li, Tyler Derr:
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage. CoRR abs/2206.03426 (2022) - [i21]Yushun Dong, Song Wang, Yu Wang, Tyler Derr, Jundong Li:
On Structural Explanation of Bias in Graph Neural Networks. CoRR abs/2206.12104 (2022) - [i20]Yu Wang, Yuying Zhao, Yi Zhang, Tyler Derr:
Collaboration-Aware Graph Convolutional Networks for Recommendation Systems. CoRR abs/2207.06221 (2022) - [i19]Yuying Zhao, Yu Wang, Tyler Derr:
Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations. CoRR abs/2212.03840 (2022) - 2021
- [c26]Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Tyler Derr, Rajiv Ratn Shah:
Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach. AAAI 2021: 497-504 - [c25]Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang:
Deep Adversarial Network Alignment. CIKM 2021: 352-361 - [c24]Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu C. Aggarwal, Jiliang Tang:
Graph Feature Gating Networks. CIKM 2021: 813-822 - [c23]Yu Wang, Tyler Derr:
Tree Decomposed Graph Neural Network. CIKM 2021: 2040-2049 - [c22]Aaron Brookhouse, Tyler Derr, Hamid Karimi, H. Russell Bernard, Jiliang Tang:
Road to the White House: Analyzing the Relations Between Mainstream and Social Media During the U.S. Presidential Primaries. HT 2021: 57-66 - [c21]Xuejiao Tang, Wenbin Zhang, Yi Yu, Kea Turner, Tyler Derr, Mengyu Wang, Eirini Ntoutsi:
Interpretable Visual Understanding with Cognitive Attention Network. ICANN (1) 2021: 555-568 - [c20]Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li:
Attacking Black-box Recommendations via Copying Cross-domain User Profiles. ICDE 2021: 1583-1594 - [c19]Yao Ma, Suhang Wang, Tyler Derr, Lingfei Wu, Jiliang Tang:
Graph Adversarial Attack via Rewiring. KDD 2021: 1161-1169 - [c18]Wei Jin, Tyler Derr, Yiqi Wang, Yao Ma, Zitao Liu, Jiliang Tang:
Node Similarity Preserving Graph Convolutional Networks. WSDM 2021: 148-156 - [i18]Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu C. Aggarwal, Jiliang Tang:
Graph Feature Gating Networks. CoRR abs/2105.04493 (2021) - [i17]Xuejiao Tang, Wenbin Zhang, Yi Yu, Kea Turner, Tyler Derr, Mengyu Wang, Eirini Ntoutsi:
Interpretable Visual Understanding with Cognitive Attention Network. CoRR abs/2108.02924 (2021) - [i16]Yu Wang, Tyler Derr:
Tree Decomposed Graph Neural Network. CoRR abs/2108.11022 (2021) - [i15]Yu Wang, Charu Aggarwal, Tyler Derr:
Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification. CoRR abs/2110.12035 (2021) - [i14]Yu Wang, Yuying Zhao, Neil Shah, Tyler Derr:
Imbalanced Graph Classification via Graph-of-Graph Neural Networks. CoRR abs/2112.00238 (2021) - 2020
- [j1]Tyler Derr, Zhiwei Wang, Jamell Dacon, Jiliang Tang:
Link and interaction polarity predictions in signed networks. Soc. Netw. Anal. Min. 10(1): 18 (2020) - [c17]Hamid Karimi, Tyler Derr, Kaitlin T. Torphy, Kenneth A. Frank, Jiliang Tang:
Towards Improving Sample Representativeness of Teachers on Online Social Media: A Case Study on Pinterest. AIED (2) 2020: 130-134 - [c16]Hamid Karimi, Tyler Derr, Jiangtao Huang, Jiliang Tang:
Online Academic Course Performance Prediction using Relational Graph Convolutional Neural Network. EDM 2020 - [c15]Wentao Wang, Tyler Derr, Yao Ma, Suhang Wang, Hui Liu, Zitao Liu, Jiliang Tang:
Learning from Incomplete Labeled Data via Adversarial Data Generation. ICDM 2020: 1316-1321 - [c14]Yu Rong, Tingyang Xu, Junzhou Huang, Wenbing Huang, Hong Cheng, Yao Ma, Yiqi Wang, Tyler Derr, Lingfei Wu, Tengfei Ma:
Deep Graph Learning: Foundations, Advances and Applications. KDD 2020: 3555-3556 - [c13]Hamid Karimi, Kaitlin T. Torphy, Tyler Derr, Kenneth A. Frank, Jiliang Tang:
Characterizing Teacher Connections in Online Social Media: A Case Study on Pinterest. L@S 2020: 249-252 - [c12]Hamid Karimi, Kaitlin T. Torphy, Tyler Derr, Kenneth A. Frank, Jiliang Tang:
Understanding and Promoting Teacher Connections in Online Social Media: A Case Study on Pinterest. TALE 2020: 536-541 - [c11]Tyler Derr, Yao Ma, Wenqi Fan, Xiaorui Liu, Charu C. Aggarwal, Jiliang Tang:
Epidemic Graph Convolutional Network. WSDM 2020: 160-168 - [c10]Tyler Derr:
Network Analysis with Negative Links. WSDM 2020: 917-918 - [c9]Amin Javari, Tyler Derr, Pouya Esmailian, Jiliang Tang, Kevin Chen-Chuan Chang:
ROSE: Role-based Signed Network Embedding. WWW 2020: 2782-2788 - [i13]Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li:
Attacking Black-box Recommendations via Copying Cross-domain User Profiles. CoRR abs/2005.08147 (2020) - [i12]Haochen Liu, Zhiwei Wang, Tyler Derr, Jiliang Tang:
Chat as Expected: Learning to Manipulate Black-box Neural Dialogue Models. CoRR abs/2005.13170 (2020) - [i11]Wei Jin, Tyler Derr, Haochen Liu, Yiqi Wang, Suhang Wang, Zitao Liu, Jiliang Tang:
Self-supervised Learning on Graphs: Deep Insights and New Direction. CoRR abs/2006.10141 (2020) - [i10]Aaron Brookhouse, Tyler Derr, Hamid Karimi, H. Russell Bernard, Jiliang Tang:
Road to the White House: Analyzing the Relations Between Mainstream and Social Media During the U.S. Presidential Primaries. CoRR abs/2009.09307 (2020) - [i9]Wei Jin, Tyler Derr, Yiqi Wang, Yao Ma, Zitao Liu, Jiliang Tang:
Node Similarity Preserving Graph Convolutional Networks. CoRR abs/2011.09643 (2020)
2010 – 2019
- 2019
- [c8]Hamid Karimi, Tyler Derr, Aaron Brookhouse, Jiliang Tang:
Multi-factor congressional vote prediction. ASONAM 2019: 266-273 - [c7]Tyler Derr, Cassidy Johnson, Yi Chang, Jiliang Tang:
Balance in Signed Bipartite Networks. CIKM 2019: 1221-1230 - [c6]Wenqi Fan, Tyler Derr, Yao Ma, Jianping Wang, Jiliang Tang, Qing Li:
Deep Adversarial Social Recommendation. IJCAI 2019: 1351-1357 - [i8]Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang:
Deep Adversarial Network Alignment. CoRR abs/1902.10307 (2019) - [i7]Wenqi Fan, Tyler Derr, Yao Ma, Jianping Wang, Jiliang Tang, Qing Li:
Deep Adversarial Social Recommendation. CoRR abs/1905.13160 (2019) - [i6]Haochen Liu, Tyler Derr, Zitao Liu, Jiliang Tang:
Say What I Want: Towards the Dark Side of Neural Dialogue Models. CoRR abs/1909.06044 (2019) - [i5]Tyler Derr, Cassidy Johnson, Yi Chang, Jiliang Tang:
Balance in Signed Bipartite Networks. CoRR abs/1909.06073 (2019) - [i4]Hamid Karimi, Tyler Derr, Jiliang Tang:
Characterizing the Decision Boundary of Deep Neural Networks. CoRR abs/1912.11460 (2019) - 2018
- [c5]Tyler Derr, Zhiwei Wang, Jiliang Tang:
Opinions Power Opinions: Joint Link and Interaction Polarity Predictions in Signed Networks. ASONAM 2018: 363-366 - [c4]Tyler Derr, Charu C. Aggarwal, Jiliang Tang:
Signed Network Modeling Based on Structural Balance Theory. CIKM 2018: 557-566 - [c3]Tyler Derr, Yao Ma, Jiliang Tang:
Signed Graph Convolutional Networks. ICDM 2018: 929-934 - [c2]Tyler Derr, Jiliang Tang:
Congressional Vote Analysis Using Signed Networks. ICDM Workshops 2018: 1501-1502 - [i3]Tyler Derr, Yao Ma, Jiliang Tang:
Signed Graph Convolutional Network. CoRR abs/1808.06354 (2018) - 2017
- [c1]Zhiwei Wang, Tyler Derr, Dawei Yin, Jiliang Tang:
Understanding and Predicting Weight Loss with Mobile Social Networking Data. CIKM 2017: 1269-1278 - [i2]Tyler Derr, Chenxing Wang, Suhang Wang, Jiliang Tang:
Signed Node Relevance Measurements. CoRR abs/1710.07236 (2017) - [i1]Tyler Derr, Charu C. Aggarwal, Jiliang Tang:
Signed Network Modeling Based on Structural Balance Theory. CoRR abs/1710.09485 (2017)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-23 19:31 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
