firstbacksecondback
39 Results
|
Poster
|
Wed 14:00 |
Deep Bidirectional Language-Knowledge Graph Pretraining Michihiro Yasunaga · Antoine Bosselut · Hongyu Ren · Xikun Zhang · Christopher D Manning · Percy Liang · Jure Leskovec |
|
|
Poster
|
Wed 9:00 |
Few-shot Relational Reasoning via Connection Subgraph Pretraining Qian Huang · Hongyu Ren · Jure Leskovec |
|
|
Poster
|
Contrastive Language-Image Pre-Training with Knowledge Graphs Xuran Pan · Tianzhu Ye · Dongchen Han · Shiji Song · Gao Huang |
||
|
Poster
|
Thu 9:00 |
Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks Chenxiao Yang · Qitian Wu · Junchi Yan |
|
|
Workshop
|
TDLR: Top Semantic-Down Syntactic Language Representation Vipula Rawte · Megha Chakraborty · Kaushik Roy · Manas Gaur · Keyur Faldu · Prashant Kikani · Amit Sheth |
||
|
Poster
|
Tue 9:00 |
Inherently Explainable Reinforcement Learning in Natural Language Xiangyu Peng · Mark Riedl · Prithviraj Ammanabrolu |
|
|
Workshop
|
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 |
||
|
Workshop
|
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 |
|
|
Workshop
|
AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks Kaidi Cao · Jiaxuan You · Jiaju Liu · Jure Leskovec |
||
|
Poster
|
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 |
|
|
Workshop
|
Counterfactual reasoning: Do Language Models need world knowledge for causal inference? Jiaxuan Li · Lang Yu · Allyson Ettinger |
||
|
Poster
|
Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks Lirong Wu · Haitao Lin · Yufei Huang · Stan Z. Li |