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31 Results
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Poster
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Wed 9:00 |
Few-shot Relational Reasoning via Connection Subgraph Pretraining Qian Huang · Hongyu Ren · Jure Leskovec |
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Poster
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Contrastive Language-Image Pre-Training with Knowledge Graphs Xuran Pan · Tianzhu Ye · Dongchen Han · Shiji Song · Gao Huang |
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Poster
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Thu 9:00 |
Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks Chenxiao Yang · Qitian Wu · Junchi Yan |
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Workshop
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TDLR: Top Semantic-Down Syntactic Language Representation Vipula Rawte · Megha Chakraborty · Kaushik Roy · Manas Gaur · Keyur Faldu · Prashant Kikani · Amit Sheth |
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Poster
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Tue 9:00 |
Inherently Explainable Reinforcement Learning in Natural Language Xiangyu Peng · Mark Riedl · Prithviraj Ammanabrolu |
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Workshop
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AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks Kaidi Cao · Jiaxuan You · Jiaju Liu · Jure Leskovec |
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Workshop
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Fri 14:00 |
The Largest Knowledge Graph in Materials Science - Entities, Relations, and Link Prediction through Graph Representation Learning Vineeth Venugopal · Sumit Pai · Elsa Olivetti |
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Workshop
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Empowering Language Models with Knowledge Graph Reasoning for Question Answering Ziniu Hu · Yichong Xu · Wenhao Yu · Shuohang Wang · Ziyi Yang · Chenguang Zhu · Kai-Wei Chang · Yizhou Sun |
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Poster
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Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks Lirong Wu · Haitao Lin · Yufei Huang · Stan Z. Li |
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Poster
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Wed 9:00 |
Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs Ruijie Wang · Zheng Li · Dachun Sun · Shengzhong Liu · Jinning Li · Bing Yin · Tarek Abdelzaher |
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Poster
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Thu 14:00 |
Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks Minji Yoon · John Palowitch · Dustin Zelle · Ziniu Hu · Ruslan Salakhutdinov · Bryan Perozzi |
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Workshop
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Collective Knowledge Graph Completion with Mutual Knowledge Distillation Weihang Zhang · Ovidiu Serban · Jiahao Sun · Yike Guo |