|
Workshop
|
|
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs
Yijun Tian · Chuxu Zhang · Zhichun Guo · Xiangliang Zhang · Nitesh Chawla
|
|
|
Poster
|
|
Knowledge-Aware Bayesian Deep Topic Model
Dongsheng Wang · Yi.shi Xu · Miaoge Li · Zhibin Duan · Chaojie Wang · Bo Chen · Mingyuan Zhou
|
|
|
Poster
|
Thu 9:00
|
Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks
Chenxiao Yang · Qitian Wu · Junchi Yan
|
|
|
Poster
|
|
Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks
Lirong Wu · Haitao Lin · Yufei Huang · Stan Z. Li
|
|
|
Affinity Workshop
|
|
Reduce False Negative in Distant supervised learning using Dependency tree-LSTM to Construct a Knowledge Graph
Samira Korani
|
|
|
Poster
|
Wed 14:00
|
Structural Knowledge Distillation for Object Detection
Philip de Rijk · Lukas Schneider · Marius Cordts · Dariu Gavrila
|
|
|
Poster
|
|
Rethinking Knowledge Graph Evaluation Under the Open-World Assumption
Haotong Yang · Zhouchen Lin · Muhan Zhang
|
|
|
Poster
|
Wed 9:00
|
Neural-Symbolic Entangled Framework for Complex Query Answering
Zezhong Xu · Wen Zhang · Peng Ye · Hui Chen · Huajun Chen
|
|
|
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
|
Sound and Complete Causal Identification with Latent Variables Given Local Background Knowledge
Tian-Zuo Wang · Tian Qin · Zhi-Hua Zhou
|
|
|
Poster
|
Thu 14:00
|
Knowledge Distillation from A Stronger Teacher
Tao Huang · Shan You · Fei Wang · Chen Qian · Chang Xu
|
|
