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31 Results

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Poster
Knowledge-Aware Bayesian Deep Topic Model
Dongsheng Wang · Yi.shi Xu · Miaoge Li · Zhibin Duan · Chaojie Wang · Bo Chen · Mingyuan Zhou
Affinity Workshop
Reduce False Negative in Distant supervised learning using Dependency tree-LSTM to Construct a Knowledge Graph
Samira Korani
Workshop
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs
Yijun Tian · Chuxu Zhang · Zhichun Guo · Xiangliang Zhang · Nitesh Chawla
Poster
Rethinking Knowledge Graph Evaluation Under the Open-World Assumption
Haotong Yang · Zhouchen Lin · Muhan Zhang
Poster
Wed 9:00 Sound and Complete Causal Identification with Latent Variables Given Local Background Knowledge
Tian-Zuo Wang · Tian Qin · Zhi-Hua Zhou
Poster
Wed 14:00 ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
Yihong Chen · Pushkar Mishra · Luca Franceschi · Pasquale Minervini · Pontus Lars Erik Saito Stenetorp · Sebastian Riedel
Panel
Wed 9:15 Panel 3C-2: Rethinking Knowledge Graph… & Faster Linear Algebra…
Sandeep Silwal · Haotong Yang
Poster
Wed 9:00 Neural-Symbolic Entangled Framework for Complex Query Answering
Zezhong Xu · Wen Zhang · Peng Ye · Hui Chen · Huajun Chen
Workshop
A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion
Zifeng Ding · Yunpu Ma · Bailan He · Zhen Han · Volker Tresp
Workshop
On the Evaluation of Methods for Temporal Knowledge Graph Forecasting
Julia Gastinger · Timo Sztyler · Anett Schuelke · Lokesh Sharma
Workshop
Tabular deep learning when dn by using an auxiliary knowledge graph
Camilo Ruiz · Hongyu Ren · Kexin Huang · Jure Leskovec
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