A curated collection of research on knowledge graphs
Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language Inference. AAAI 2019. Yoshikawa et al. [Paper] [Code]
Deep Short Text Classification with Knowledge Powered Attention. AAAI 2019. Chen et al. [Paper]
A neural knowledge language model. 2016. Ahn, Sungjin and Choi, Heeyoul and Pärnamaa, Tanel and Bengio, Yoshua. [Paper] [Dataset]
ERNIE: Enhanced Language Representation with Informative Entities. ACL 2019. Zhang, Zhengyan and Han, Xu and Liu, Zhiyuan and Jiang, Xin and Sun, Maosong and Liu, Qun. [Paper] [Code]
Targeted Aspect-Based Sentiment Analysis via Embedding Commonsense Knowledge into an Attentive LSTM. AAAI 2018. Yukun Ma, Haiyun Peng, Erik Cambria. [Paper]
Combining Knowledge with Deep Convolutional Neural Networks for Short Text Classification. IJCAI 2017. Wang, Jin and Wang, Zhongyuan and Zhang, Dawei and Yan, Jun. [Paper]
Story Ending Generation with Incremental Encoding and Commonsense Knowledge. AAAI 2019. Jian Guan, Yansen Wang, Minlie Huang. [Paper]
Incorporating Commonsense Knowledge for Story Completion. AAAI 2019. Chen et al.. [Paper]
Simulation-Based Approach to Efficient Commonsense Reasoning in Very Large Knowledge Bases. AAAI 2019. Sharma et al. [Paper]
Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering ICLR 2020. Asai et al. [Paper] [Code]
Complex Factoid Question Answering with a Free-Text Knowledge Graph WWW 2020. Zhao et al. [Paper]
Declarative Question Answering over Knowledge Bases containing Natural Language Text with Answer Set Programming. AAAI 2019. Mitra et al. [Paper]
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering. AAAI 2019. Deng et al. [Paper]
An Interpretable Reasoning Network for Multi-Relation Question Answering. COLING 2018. Zhou, Mantong and Huang, Minlie and Zhu, Xiaoyan. [Paper]
Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge Base. NIPS 2018. Daya Guo, Duyu Tang, Nan Duan, Ming Zhou, Jian Yin. [Paper] [Code]
Commonsense for Generative Multi-hop Question Answering Tasks. EMNLP 2018. Bauer, Lisa, Yicheng Wang, and Mohit Bansal. [Paper] [Code] [Note]
Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph. AAAI 2018. Amrita Saha, Vardaan Pahuja, Mitesh M. Khapra, Karthik Sankaranarayanan, Sarath Chandar. [Paper]
EARL: Joint Entity and Relation Linking for Question Answering over Knowledge Graphs. ISWC 2018. Dubey, Mohnish, Debayan Banerjee, Debanjan Chaudhuri, and Jens Lehmann. [Paper] [Code] [Note]
Pattern-revising Enhanced Simple Question Answering over Knowledge Bases. COLING 2018. Hao, Yanchao, Hao Liu, Shizhu He, Kang Liu, and Jun Zhao. [Paper] [Note]
Strong Baselines for Simple Question Answering over Knowledge Graphs with and without Neural Networks. NAACL 2018. Mohammed, Salman, Peng Shi, and Jimmy Lin. [Paper] [Code] [Note]
Transliteration Better than Translation? Answering Code-mixed Questions over a Knowledge Base. ACL 2018. Gupta, Vishal, Manoj Chinnakotla, and Manish Shrivastava. [Paper] [Note]
TEQUILA: Temporal Question Answering over Knowledge Bases. CIKM 2018. Zhen Jia, Abdalghani Abujabal, Rishiraj Saha Roy, Jannik Strötgen, Gerhard Weikum. [Paper]
Question answering over knowledge base with neural attention combining global knowledge information. 2016. Zhang et al.. [Paper]
CFO: Conditional Focused Neural Question Answering with Large-scale Knowledge Bases. ACL 2016. Dai et al.. [Paper]
Efficiently answering technical questions—a knowledge graph approach. AAAI 2017. Yang et al.. [Paper]
An end-to-end model for question answering over knowledge base with cross-attention combining global knowledge. ACL 2017. Hao et al.. [Paper]
Generating natural answers by incorporating copying and retrieving mechanisms in sequence-to-sequence learning. ACL 2017. He et al.. [Paper]
Neural Generative Question Answering. IJCAI 2016. Yin, Jun and Jiang, Xin and Lu, Zhengdong and Shang, Lifeng and Li, Hang and Li, Xiaoming. [Paper] [Dataset]
Commonsense Knowledge Aware Conversation Generation with Graph Attention. IJCAI 2018. Zhou, Hao, Tom Young, Minlie Huang, Haizhou Zhao, Jingfang Xu, and Xiaoyan Zhu. [Paper] [Code] [Note]
Improving Response Selection in Multi-Turn Dialogue Systems by Incorporating Domain Knowledge. CoNLL 2018. Chaudhuri, Debanjan and Kristiadi, Agustinus and Lehmann, Jens and Fischer, Asja. [Paper]
Incorporating loose-structured knowledge into conversation modeling via recall-gate LSTM. IJCNN 2017. Xu, Zhen and Liu, Bingquan and Wang, Baoxun and Sun, Chengjie and Wang, Xiaolong. [Paper]
Lstm-based mixture-of-experts for knowledge-aware dialogues. ACL 2016 Workshop. Le, Phong and Dymetman, Marc and Renders, Jean-Michel. [Paper]
Flexible end-to-end dialogue system for knowledge grounded conversation. 2017. Zhu, Wenya and Mo, Kaixiang and Zhang, Yu and Zhu, Zhangbin and Peng, Xuezheng and Yang, Qiang. [Paper]
Reinforced Negative Sampling over Knowledge Graph for Recommendation. WWW 2020. Wang et al. [Paper]
Towards Knowledge-Based Recommender Dialog System. EMNLP-IJCNLP 2019. Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang. [Paper]
Reinforced Negative Sampling over Knowledge Graph for Recommendation WWW 2020. Wang et al. [Paper]
KGAT: Knowledge Graph Attention Network for Recommendation. KDD 2019. Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu and Tat-Seng Chua. [Paper] [Code]
Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation. WWW 2019. Wang, Hongwei, Fuzheng Zhang, Miao Zhao, Wenjie Li, Xing Xie, and Minyi Guo. [Paper] [Code]
Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preference. WWW 2019. Yixin Cao, Xiang Wang, Xiangnan He, Zikun Hu, Tat-Seng Chua. [Paper] [Code]
Explianable Reasoning over Knowledge Graphs for Recommendation. AAAI 2019. Wang, Xiang and Wang, Dingxian and Xu, Canran and He, Xiangnan and Cao, Yixin and Chua, Tat-Seng. [Paper] [Code]
Exploring High-Order User Preference on the Knowledge Graph for Recommender Systems. TOIS 2019. Hongwei Wang, Fuzheng Zhang, Jialin Wang, Miao Zhao, Wenjie Li, Xing Xie, and Minyi Guo. [Paper]
RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems. CIKM 2018. Hongwei Wang, Fuzheng Zhang, Jialin Wang, Miao Zhao, Wenjie Li, Xing Xie, and Minyi Guo. [Paper]
Collaborative knowledge base embedding for recommender systems. SIGKDD 2016. Zhang, Fuzheng and Yuan, Nicholas Jing and Lian, Defu and Xie, Xing and Ma, Wei-Ying. [Paper]
Top-n recommendations from implicit feedback leveraging linked open data. RecSys 2013. Ostuni, Vito Claudio and Di Noia, Tommaso and Di Sciascio, Eugenio and Mirizzi, Roberto. [Paper]
dbrec—music recommendations using DBpedia. ISWC 2010. Passant, Alexandre. [Paper]
Collaborative knowledge base embedding for recommender systems. KDD 2016. Zhang, Fuzheng and Yuan, Nicholas Jing and Lian, Defu and Xie, Xing and Ma, Wei-Ying. [Paper]
Keyword Search over Knowledge Graphs via Static and Dynamic Hub Labelings WWW 2020. Shi et al. [Paper]
Event Representation Learning Enhanced with External Commonsense Knowledge EMNLP 2019. Ding et al. [Paper]
Extracting Entities and Events as a Single Task Using a Transition-Based Neural Model IJCAI 2019. Junchi Zhang, Yanxia Qin, Yue Zhang, Mengchi Liu, Donghong Ji. [Paper]
Retrieving Textual Evidence for Knowledge Graph Facts. ESWC 2019. Gonenc Ercan, Shady Elbassuoni, and Katja Hose. [Paper]
Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks. IJCAI 2019. H. Peng, J. Li, Q. Gong, Y. Song, Y. Ning, K. Lai, and P.S. Yu. [Paper]
Towards better text understanding and retrieval through kernel entity salience modeling SIGIR 2018. Xiong et al. [Paper]
Entity-duet neural ranking: understanding the role of knowledge graph semantics in neural information retrieval ACL 2018. Liu et al. [Paper] [Code]
TransNet: Translation-Based Network Representation Learning for Social Relation Extraction. IJCAI 2017. Tu, Cunchao and Zhang, Zhengyan and Liu, Zhiyuan and Sun, Maosong. [Paper]
Explicit semantic ranking for academic search via knowledge graph embedding WWW 2017. Xiong et al. [Paper]
Word-entity duet representations for document ranking SIGIR 2017. Xiong et al. [Paper]
JointSem: combining query entity linking and entity based document ranking CIKM 2017. Xiong et al. [Paper]
Explicit semantic ranking for academic search via knowledge graph embedding. WWW 2017. Xiong et al. [Paper]
Joint event extraction via recurrent neural networks. NAACL 2016. Nguyen, Thien Huu and Cho, Kyunghyun and Grishman, Ralph. [Paper]
Real-world data medical knowledge graph: construction and applications. AI for Medicine 2020. Li et al.. [Paper]
Phenotypical Ontology Driven Framework for Multi-Task Learning. NeurIPS 2019 KR2ML Workshop. Ghalwash et al.. [Paper]
Constructing biomedical domain-specific knowledge graph with minimum supervision KAIS 2019. Yuan, Jianbo and Jin, Zhiwei and Guo, Han and Jin, Hongxia and Zhang, Xianchao and Smith, Tristram and Luo, Jiebo. [Paper]
Knowledge-driven Encode, Retrieve, Paraphrase for Medical Image Report Generation. AAAI 2019. Li, Christy Y and Liang, Xiaodan and Hu, Zhiting and Xing, Eric P. [Paper]
On the Generative Discovery of Structured Medical Knowledge. KDD 2018. C. Zhang, Y. Li, N. Du, W. Fan, and P.S. Yu [Paper]
Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention. WWW 2019. Gaur, Manas, Amanuel Alambo, Joy Prakash Sain, Ugur Kursuncu, Krishnaprasad Thirunarayan, Ramakanth Kavuluru, Amit Sheth, Randon S. Welton, and Jyotishman Pathak. [Paper]
HDSKG: harvesting domain specific knowledge graph from content of webpages. SANER 2017. Zhao, Xuejiao and Xing, Zhenchang and Kabir, Muhammad Ashad and Sawada, Naoya and Li, Jing and Lin, Shang-Wei. [Paper]
Improving API Caveats Accessibility by Mining API Caveats Knowledge Graph. CSME 2018. Li, Hongwei and Li, Sirui and Sun, Jiamou and Xing, Zhenchang and Peng, Xin and Liu, Mingwei and Zhao, Xuejiao. [Paper]
DeepWeak: reasoning common software weaknesses via knowledge graph embedding. SANER 2018. Han, Zhuobing and Li, Xiaohong and Liu, Hongtao and Xing, Zhenchang and Feng, Zhiyong. [Paper]
The structure and dynamics of knowledge network in domain-specific Q&A sites: a case study of stack overflow. Empirical Software Engineering 2017. Ye, Deheng and Xing, Zhenchang and Kapre, Nachiket [Paper]
Predicting semantically linkable knowledge in developer online forums via convolutional neural network. ICASE 2016. Xu, Bowen and Ye, Deheng and Xing, Zhenchang and Xia, Xin and Chen, Guibin and Li, Shanping. [Paper]
Mining Analogical Libraries in Q&A Discussions — Incorporating Relational and Categorical Knowledge into Word Embedding. SANER 2016. Chunyang Chen, Sa Gao, and Zhenchang Xing. [Paper]
TechLand: Assisting technology landscape inquiries with insights from stack overflow. ICSME 2016. Chen, Chunyang and Xing, Zhenchang and Han, Lei. [Paper]
The More You Know: Using Knowledge Graphs for Image Classification. CVPR 2017. Marino, Kenneth and Salakhutdinov, Ruslan and Gupta, Abhinav. [Paper]
I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph Convolutional Networks and Knowledge Graphs. AAAI 2019. Gao et al. [Paper] [Code]
WK-VQA: World Knowledge-enabled Visual Question Answering Shah et al. [Paper]
Jointly Modeling Inter-Slot Relations by Random Walk on Knowledge Graphs for Unsupervised Spoken Language Understanding. NAACL-HLT 2015. Yun-Nung Chen, William Yang Wang, Alex Rudnicky. [Paper]
Hybrid Knowledge Routed Modules for Large-scale Object Detection. NIPS 2018. Chenhan Jiang, Hang Xu, Xiaodan Liang, and Liang Lin. [Paper] [Code]
Knowledge questions from knowledge graphs. SIGIR 2016. Seyler, Dominic and Yahya, Mohamed and Berberich, Klaus. [Paper]
One for All: Neural Joint Modeling of Entities and Events. AAAI 2019. Nguyen, Trung Minh and Nguyen, Thien Huu. [Paper]
Linking named entities in tweets with knowledge base via user interest modeling. KDD 2013. Shen, Wei and Wang, Jianyong and Luo, Ping and Wang, Min. [Paper]
Knowledge Aware Conversation Generation with Reasoning on Augmented Graph. 2019. Zhibin Liu, Zheng-Yu Niu, Hua Wu, Haifeng Wang. [Paper]