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Poster
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Wed 9:00
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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
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Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks
Chenxiao Yang · Qitian Wu · Junchi Yan
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Poster
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Tue 9:00
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Inherently Explainable Reinforcement Learning in Natural Language
Xiangyu Peng · Mark Riedl · Prithviraj Ammanabrolu
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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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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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Workshop
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Fri 14:00
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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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AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks
Kaidi Cao · Jiaxuan You · Jiaju Liu · Jure Leskovec
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Poster
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Wed 9:00
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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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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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Thu 14:00
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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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Sat 7:00
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KeyNote 1 by S. Mehran Kazemi : Learning and Reasoning with Temporal Knowledge Graphs
Seyed Mehran Kazemi
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